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10 Current Database Research Topic Ideas in 2024

Home Blog Database 10 Current Database Research Topic Ideas in 2024

As we head towards the second half of 2024, the world of technology evolves at a rapid pace. With the rise of AI and blockchain, the demand for data, its management and the need for security increases rapidly. A logical consequence of these changes is the way fields like database security research topics and DBMS research have come up as the need of the hour.

With new technologies and techniques emerging day-by-day, staying up-to-date with the latest trends in database research topics is crucial. Whether you are a student, researcher, or industry professional, we recommend taking our Database Certification courses to stay current with the latest research topics in DBMS.

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2024. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

So, get ready to dive into the exciting world of databases and discover the latest developments in database research topics of 2024!

Blurring the Lines between Blockchains and Database Systems 

The intersection of blockchain technology and database systems offers fertile new grounds to anyone interested in database research.

As blockchain gains popularity, many thesis topics in DBMS[1] are exploring ways to integrate both fields. This research will yield innovative solutions for data management. Here are 3 ways in which these two technologies are being combined to create powerful new solutions:

Immutable Databases: By leveraging blockchain technology, it’s possible to create databases to be immutable. Once data has been added to such a database, it cannot be modified or deleted. This is particularly useful in situations where data integrity is critical, such as in financial transactions or supply chain management.

Decentralized Databases: Blockchain technology enables the creation of decentralized databases. Here data is stored on a distributed network of computers rather than in a central location. This can help to improve data security and reduce the risk of data loss or corruption.

Smart Contracts: Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller being directly written into lines of code. By leveraging blockchain technology, it is possible to create smart contracts that are stored and executed on a decentralized database, making it possible to automate a wide range of business processes.

Childhood Obesity: Data Management 

Childhood obesity is a growing public health concern, with rates of obesity among children and adolescents rising around the world. To address this issue, it’s crucial to have access to comprehensive data on childhood obesity. Analyzing information on prevalence, risk factors, and interventions is a popular research topic in DBMS these days.

Effective data management is essential for ensuring that this information is collected, stored, and analyzed in a way that is useful and actionable. This is one of the hottest DBMS research paper topics. In this section, we will explore the topic of childhood obesity data management.

A key challenge to childhood obesity data management is ensuring data consistency. This is difficult as various organizations have varied methods for measuring and defining obesity. For example:

Some may use body mass index (BMI) as a measure of obesity.

Others may use waist circumference or skinfold thickness.   Another challenge is ensuring data security and preventing unauthorized access. To protect the privacy and confidentiality of individuals, it is important to ensure appropriate safeguards are in place. This calls for database security research and appropriate application.

Application of Computer Database Technology in Marketing

Leveraging data and analytics allows businesses to gain a competitive advantage in this digitized world today. With the rising demand for data, the use of computer databases in marketing has gained prominence.

The application of database capabilities in marketing has really come into its own as one of the most popular and latest research topics in DBMS[2]. In this section, we will explore how computer database technology is being applied in marketing, and the benefits this research can offer.

Customer Segmentation: Storage and analysis of customer data makes it possible to gain valuable insights. It allows businesses to identify trends in customer behavior, preferences and demographics. This information can be utilized to create highly targeted customer segments. This is how businesses can tailor their marketing efforts to specific groups of customers.

Personalization: Computer databases can be used to store and analyze customer data in real-time. In this way, businesses can personalize their marketing and offers based on individual customer preferences. This can help increase engagement and loyalty among customers, thereby driving greater revenue for businesses.

Predictive Analytics: Advanced analytics techniques such as machine learning and predictive modeling can throw light on patterns in customer behavior. This can even be used to predict their future actions. This information can be used to create more targeted marketing campaigns, and to identify opportunities for cross-selling and upselling.

Database Technology in Sports Competition Information Management

Database technology has revolutionized the way in which sports competition information is managed and analyzed. With the increasing popularity of sports around the world, there is a growing need for effective data management systems that can collect, store, and analyze large volumes of relevant data. Thus, researching database technologies[3] is vital to streamlining operations, improving decision-making, and enhancing the overall quality of events.

Sports organizations can use database technology to collect and manage a wide range of competition-related data such as: 

Athlete and team information,

competition schedules and results,

performance metrics, and

spectator feedback.

Collating this data in a distributed database lets sports organizations easily analyze and derive valuable insights. This is emerging as a key DBMS research paper topic.

Database Technology for the Analysis of Spatio-temporal Data

Spatio-temporal data refers to data which has a geographic as well as a temporal component. Meteorological readings, GPS data, and social media content are prime examples of this diverse field. This data can provide valuable insights into patterns and trends across space and time. However, its multidimensional nature makes analysis be super challenging. It’s no surprise that this has become a hot topic for distributed database research[4].

In this section, we will explore how database technology is being used to analyze spatio-temporal data, and the benefits this research offers.

Data Storage and Retrieval: Spatio-temporal data tends to be very high-volume. Advances in database technology are needed to make storage, retrieval and consumption of such information more efficient. A solution to this problem will make such data more available. It will then be easily retrievable and usable by a variety of data analytics tools.

Spatial Indexing: Database technology can create spatial indexes to enable faster queries on spatio-temporal data. This allows analysts to quickly retrieve data for specific geographic locations or areas of interest, and to analyze trends across these areas.

Temporal Querying: Distributed database research can also enable analysts to analyze data over specific time periods. This facilitates the identification of patterns over time. Ultimately, this enhances our understanding of how these patterns evolve over various seasons.

Artificial Intelligence and Database Technology

Artificial intelligence (AI) is another sphere of technology that’s just waiting to be explored. It hints at a wealth of breakthroughs which can change the entire world. It’s unsurprising that the combination of AI with database technology is such a hot topic for database research papers[5] in modern times. 

By using AI to analyze data, organizations can identify patterns and relationships that might not be apparent through traditional data analysis methods. In this section, we will explore some of the ways in which AI and database technology are being used together. We’ll also discuss the benefits that this amalgamation can offer.

Predictive Analytics: By analyzing large volumes of organizational and business data, AI can generate predictive models to forecast outcomes. For example, AI can go through customer data stored in a database and predict who is most likely to make a purchase in the near future.

Natural Language Processing: All businesses have huge, untapped wells of valuable information in the form of customer feedback and social media posts. These types of data sources are unstructured, meaning they don’t follow rigid parameters. By using natural language processing (NLP) techniques, AI can extract insights from this data. This helps organizations understand customer sentiment, preferences and needs.

Anomaly Detection: AI can be used to analyze large volumes of data to identify anomalies and outliers. Then, a second round of analysis can be done to pinpoint potential problems or opportunities. For example, AI can analyze sensor data from manufacturing equipment and detect when equipment is operating outside of normal parameters.

Data Collection and Management Techniques of a Qualitative Research Plan

Any qualitative research calls for the collection and management of empirical data. A crucial part of the research process, this step benefits from good database management techniques. Let’s explore some thesis topics in database management systems[6] to ensure the success of a qualitative research plan.

Interviews: This is one of the most common methods of data collection in qualitative research. Interviews can be conducted in person, over the phone, or through video conferencing. A standardized interview guide ensures the data collected is reliable and accurate. Relational databases, with their inherent structure, aid in this process. They are a way to enforce structure onto the interviews’ answers.

Focus Groups: Focus groups involve gathering a small group of people to discuss a particular topic. These generate rich data by allowing participants to share their views in a group setting. It is important to select participants who have knowledge or experience related to the research topic.

Observations: Observations involve observing and recording events in a given setting. These can be conducted openly or covertly, depending on the research objective and setting. To ensure that the data collected is accurate, it is important to develop a detailed observation protocol that outlines what behaviors or events to observe, how to record data, and how to handle ethical issues.

Database Technology in Video Surveillance System 

Video surveillance systems are used to monitor and secure public spaces, workplaces, even homes. With the increasing demand for such systems, it’s important to have an efficient and reliable way to store, manage and analyze the data generated. This is where database topics for research paper [7] come in.

By using database technology in video surveillance systems, it is possible to store and manage large amounts of video data efficiently. Database management systems (DBMS) can be used to organize video data in a way that is easily searchable and retrievable. This is particularly important in cases where video footage is needed as evidence in criminal investigations or court cases.

In addition to storage and management, database technology can also be used to analyze video data. For example, machine learning algorithms can be applied to video data to identify patterns and anomalies that may indicate suspicious activity. This can help law enforcement agencies and security personnel to identify and respond to potential threats more quickly and effectively.

Application of Java Technology in Dynamic Web Database Technology 

Java technology has proven its flexibility, scalability, and ease of use over the decades. This makes it widely used in the development of dynamic web database applications. In this section, we will explore research topics in DBMS[8] which seek to apply Java technology in databases.

Java Server Pages (JSP): JSP is a Java technology that is used to create dynamic web pages that can interact with databases. It allows developers to embed Java code within HTML scripts, thereby enabling dynamic web pages. These can interact with databases in real-time, and aid in data collection and maintenance.

Java Servlets: Java Servlets are Java classes used to extend the functionality of web servers. They provide a way to handle incoming requests from web browsers and generate dynamic content that can interact with databases.

Java Database Connectivity (JDBC): JDBC is a Java API that provides a standard interface for accessing databases. It allows Java applications to connect to databases. It can SQL queries to enhance, modify or control the backend database. This enables developers to create dynamic web applications.

Online Multi Module Educational Administration System Based on Time Difference Database Technology 

With the widespread adoption of remote learning post-COVID, online educational systems are gaining popularity at a rapid pace. A ubiquitous challenge these systems face is managing multiple modules across different time zones. This is one of the latest research topics in database management systems[9].

Time difference database technology is designed to handle time zone differences in online systems. By leveraging this, it’s possible to create a multi-module educational administration system that can handle users from different parts of the world, with different time zones.

This type of system can be especially useful for online universities or other educational institutions that have a global reach:

It makes it possible to schedule classes, assignments and other activities based on the user's time zone, ensuring that everyone can participate in real-time.

In addition to managing time zones, a time difference database system can also help manage student data, course materials, grades, and other important information.

Why is it Important to Study Databases?

Databases are the backbone of many modern technologies and applications, making it essential for professionals in various fields to understand how they work. Whether you're a software developer, data analyst or a business owner, understanding databases is critical to success in today's world. Here are a few reasons why it is important to study databases and more database topics for research paper should be published:

Efficient Data Management

Databases enable the efficient storage, organization, and retrieval of data. By studying databases, you can learn how to design and implement effective data management systems that can help organizations store, analyze, and use data efficiently.

Improved Decision-Making

Data is essential for making informed decisions, and databases provide a reliable source of data for analysis. By understanding databases, you can learn how to retrieve and analyze data to inform business decisions, identify trends, and gain insights.

Career Opportunities

In today's digital age, many career paths require knowledge of databases. By studying databases, you can open up new career opportunities in software development, data analysis, database administration and related fields.

Needless to say, studying databases is essential for anyone who deals with data. Whether you're looking to start a new career or enhance your existing skills, studying databases is a critical step towards success in today's data-driven world.

Final Takeaways

In conclusion, as you are interested in database technology, we hope this blog has given you some insights into the latest research topics in the field. From blockchain to AI, from sports to marketing, there are a plethora of exciting database topics for research papers that will shape the future of database technology.

As technology continues to evolve, it is essential to stay up-to-date with the latest trends in the field of databases. Our curated KnowledgeHut Database Certification Courses will help you stay ahead of the curve and develop new skills.

We hope this blog has inspired you to explore the exciting world of database research in 2024. Stay curious and keep learning!

Frequently Asked Questions (FAQs)

There are several examples of databases, with the five most common ones being:

MySQL : An open-source RDBMS used commonly in web applications.

Microsoft SQL Server : A popular RDBMS used in enterprise environments.

Oracle : A trusted commercial RDBMS famous for its high-scalability and security.

MongoDB : A NoSQL document-oriented database optimized for storing large amounts of unstructured data.

PostgreSQL : An open-source RDBMS offering advanced features like high concurrency and support for multiple data types.

Structured Query Language (SQL) is a high-level language designed to communicate with relational databases. It’s not a database in and of itself. Rather, it’s a language used to create, modify, and retrieve data from relational databases such as MySQL and Oracle.

A primary key is a column (or a set of columns) that uniquely identifies each row in a table. In technical terms, the primary key is a unique identifier of records. It’s used as a reference to establish relationships between various tables.

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214 Best Big Data Research Topics for Your Thesis Paper

Finding an ideal big data research topic can take you a long time. Big data, IoT, and robotics have evolved. The future generations will be immersed in major technologies that will make work easier. Work that was done by 10 people will now be done by one person or a machine. This is amazing because, in as much as there will be job loss, more jobs will be created. It is a win-win for everyone.

Big data is a major topic that is being embraced globally. Data science and analytics are helping institutions, governments, and the private sector. We will share with you the best big data research topics.

On top of that, we can offer you the best writing tips to ensure you prosper well in your academics. As students in the university, you need to do proper research to get top grades. Hence, you can consult us if in need of research paper writing services.

Big Data Analytics Research Topics for your Research Project

Are you looking for an ideal big data analytics research topic? Once you choose a topic, consult your professor to evaluate whether it is a great topic. This will help you to get good grades.

• Which are the best tools and software for big data processing?
• Evaluate the security issues that face big data.
• An analysis of large-scale data for social networks globally.
• The influence of big data storage systems.
• The best platforms for big data computing.
• The relation between business intelligence and big data analytics.
• The importance of semantics and visualization of big data.
• Analysis of big data technologies for businesses.
• The common methods used for machine learning in big data.
• The difference between self-turning and symmetrical spectral clustering.
• The importance of information-based clustering.
• Evaluate the hierarchical clustering and density-based clustering application.
• How is data mining used to analyze transaction data?
• The major importance of dependency modeling.
• The influence of probabilistic classification in data mining.

Interesting Big Data Analytics Topics

Who said big data had to be boring? Here are some interesting big data analytics topics that you can try. They are based on how some phenomena are done to make the world a better place.

• Discuss the privacy issues in big data.
• Evaluate the storage systems of scalable in big data.
• The best big data processing software and tools.
• Data mining tools and techniques are popularly used.
• Evaluate the scalable architectures for parallel data processing.
• The major natural language processing methods.
• Which are the best big data tools and deployment platforms?
• The best algorithms for data visualization.
• Analyze the anomaly detection in cloud servers
• The scrutiny normally done for the recruitment of big data job profiles.
• The malicious user detection in big data collection.
• Learning long-term dependencies via the Fourier recurrent units.
• Nomadic computing for big data analytics.
• The elementary estimators for graphical models.
• The memory-efficient kernel approximation.

Big Data Latest Research Topics

Do you know the latest research topics at the moment? These 15 topics will help you to dive into interesting research. You may even build on research done by other scholars.

• Evaluate the data mining process.
• The influence of the various dimension reduction methods and techniques.
• The best data classification methods.
• The simple linear regression modeling methods.
• Evaluate the logistic regression modeling.
• What are the commonly used theorems?
• The influence of cluster analysis methods in big data.
• The importance of smoothing methods analysis in big data.
• How is fraud detection done through AI?
• Analyze the use of GIS and spatial data.
• How important is artificial intelligence in the modern world?
• What is agile data science?
• Analyze the behavioral analytics process.
• Semantic analytics distribution.
• How is domain knowledge important in data analysis?

Big Data Debate Topics

If you want to prosper in the field of big data, you need to try even hard topics. These big data debate topics are interesting and will help you to get a better understanding.

• The difference between big data analytics and traditional data analytics methods.
• Why do you think the organization should think beyond the Hadoop hype?
• Does the size of the data matter more than how recent the data is?
• Is it true that bigger data are not always better?
• The debate of privacy and personalization in maintaining ethics in big data.
• The relation between data science and privacy.
• Do you think data science is a rebranding of statistics?
• Who delivers better results between data scientists and domain experts?
• According to your view, is data science dead?
• Do you think analytics teams need to be centralized or decentralized?
• The best methods to resource an analytics team.
• The best business case for investing in analytics.
• The societal implications of the use of predictive analytics within Education.
• Is there a need for greater control to prevent experimentation on social media users without their consent?
• How is the government using big data; for the improvement of public statistics or to control the population?

University Dissertation Topics on Big Data

Are you doing your Masters or Ph.D. and wondering the best dissertation topic or thesis to do? Why not try any of these? They are interesting and based on various phenomena. While doing the research ensure you relate the phenomenon with the current modern society.

• The machine learning algorithms are used for fall recognition.
• The divergence and convergence of the internet of things.
• The reliable data movements using bandwidth provision strategies.
• How is big data analytics using artificial neural networks in cloud gaming?
• How is Twitter accounts classification done using network-based features?
• How is online anomaly detection done in the cloud collaborative environment?
• Evaluate the public transportation insights provided by big data.
• Evaluate the paradigm for cancer patients using the nursing EHR to predict the outcome.
• Discuss the current data lossless compression in the smart grid.
• How does online advertising traffic prediction helps in boosting businesses?
• How is the hyperspectral classification done using the multiple kernel learning paradigm?
• The analysis of large data sets downloaded from websites.
• How does social media data help advertising companies globally?
• Which are the systems recognizing and enforcing ownership of data records?
• The alternate possibilities emerging for edge computing.

The Best Big Data Analysis Research Topics and Essays

There are a lot of issues that are associated with big data. Here are some of the research topics that you can use in your essays. These topics are ideal whether in high school or college.

• The various errors and uncertainty in making data decisions.
• The application of big data on tourism.
• The automation innovation with big data or related technology
• The business models of big data ecosystems.
• Privacy awareness in the era of big data and machine learning.
• The data privacy for big automotive data.
• How is traffic managed in defined data center networks?
• Big data analytics for fault detection.
• The need for machine learning with big data.
• The innovative big data processing used in health care institutions.
• The money normalization and extraction from texts.
• How is text categorization done in AI?
• The opportunistic development of data-driven interactive applications.
• The use of data science and big data towards personalized medicine.
• The programming and optimization of big data applications.

The Latest Big Data Research Topics for your Research Proposal

Doing a research proposal can be hard at first unless you choose an ideal topic. If you are just diving into the big data field, you can use any of these topics to get a deeper understanding.

• The data-centric network of things.
• Big data management using artificial intelligence supply chain.
• The big data analytics for maintenance.
• The high confidence network predictions for big biological data.
• The performance optimization techniques and tools for data-intensive computation platforms.
• The predictive modeling in the legal context.
• Analysis of large data sets in life sciences.
• How to understand the mobility and transport modal disparities sing emerging data sources?
• How do you think data analytics can support asset management decisions?
• An analysis of travel patterns for cellular network data.
• The data-driven strategic planning for citywide building retrofitting.
• How is money normalization done in data analytics?
• Major techniques used in data mining.
• The big data adaptation and analytics of cloud computing.
• The predictive data maintenance for fault diagnosis.

Interesting Research Topics on A/B Testing In Big Data

A/B testing topics are different from the normal big data topics. However, you use an almost similar methodology to find the reasons behind the issues. These topics are interesting and will help you to get a deeper understanding.

• How is ultra-targeted marketing done?
• The transition of A/B testing from digital to offline.
• How can big data and A/B testing be done to win an election?
• Evaluate the use of A/B testing on big data
• Evaluate A/B testing as a randomized control experiment.
• How does A/B testing work?
• The mistakes to avoid while conducting the A/B testing.
• The most ideal time to use A/B testing.
• The best way to interpret results for an A/B test.
• The major principles of A/B tests.
• Evaluate the cluster randomization in big data
• The best way to analyze A/B test results and the statistical significance.
• How is A/B testing used in boosting businesses?
• The importance of data analysis in conversion research
• The importance of A/B testing in data science.

Amazing Research Topics on Big Data and Local Governments

Governments are now using big data to make the lives of the citizens better. This is in the government and the various institutions. They are based on real-life experiences and making the world better.

• Assess the benefits and barriers of big data in the public sector.
• The best approach to smart city data ecosystems.
• The big analytics used for policymaking.
• Evaluate the smart technology and emergence algorithm bureaucracy.
• Evaluate the use of citizen scoring in public services.
• An analysis of the government administrative data globally.
• The public values are found in the era of big data.
• Public engagement on local government data use.
• Data analytics use in policymaking.
• How are algorithms used in public sector decision-making?
• The democratic governance in the big data era.
• The best business model innovation to be used in sustainable organizations.
• How does the government use the collected data from various sources?
• The role of big data for smart cities.
• How does big data play a role in policymaking?

Easy Research Topics on Big Data

Who said big data topics had to be hard? Here are some of the easiest research topics. They are based on data management, research, and data retention. Pick one and try it!

• Who uses big data analytics?
• Evaluate structure machine learning.
• Explain the whole deep learning process.
• Which are the best ways to manage platforms for enterprise analytics?
• Which are the new technologies used in data management?
• What is the importance of data retention?
• The best way to work with images is when doing research.
• The best way to promote research outreach is through data management.
• The best way to source and manage external data.
• Does machine learning improve the quality of data?
• Describe the security technologies that can be used in data protection.
• Evaluate token-based authentication and its importance.
• How can poor data security lead to the loss of information?
• How to determine secure data.
• What is the importance of centralized key management?

Unique IoT and Big Data Research Topics

Internet of Things has evolved and many devices are now using it. There are smart devices, smart cities, smart locks, and much more. Things can now be controlled by the touch of a button.

• Evaluate the 5G networks and IoT.
• Analyze the use of Artificial intelligence in the modern world.
• How do ultra-power IoT technologies work?
• Evaluate the adaptive systems and models at runtime.
• How have smart cities and smart environments improved the living space?
• The importance of the IoT-based supply chains.
• How does smart agriculture influence water management?
• The internet applications naming and identifiers.
• How does the smart grid influence energy management?
• Which are the best design principles for IoT application development?
• The best human-device interactions for the Internet of Things.
• The relation between urban dynamics and crowdsourcing services.
• The best wireless sensor network for IoT security.
• The best intrusion detection in IoT.
• The importance of big data on the Internet of Things.

Big Data Database Research Topics You Should Try

Big data is broad and interesting. These big data database research topics will put you in a better place in your research. You also get to evaluate the roles of various phenomena.

• The best cloud computing platforms for big data analytics.
• The parallel programming techniques for big data processing.
• The importance of big data models and algorithms in research.
• Evaluate the role of big data analytics for smart healthcare.
• How is big data analytics used in business intelligence?
• The best machine learning methods for big data.
• Evaluate the Hadoop programming in big data analytics.
• What is privacy-preserving to big data analytics?
• The best tools for massive big data processing
• IoT deployment in Governments and Internet service providers.
• How will IoT be used for future internet architectures?
• How does big data close the gap between research and implementation?
• What are the cross-layer attacks in IoT?
• The influence of big data and smart city planning in society.
• Why do you think user access control is important?

Big Data Scala Research Topics

Scala is a programming language that is used in data management. It is closely related to other data programming languages. Here are some of the best scala questions that you can research.

• Which are the most used languages in big data?
• How is scala used in big data research?
• Is scala better than Java in big data?
• How is scala a concise programming language?
• How does the scala language stream process in real-time?
• Which are the various libraries for data science and data analysis?
• How does scala allow imperative programming in data collection?
• Evaluate how scala includes a useful REPL for interaction.
• Evaluate scala’s IDE support.
• The data catalog reference model.
• Evaluate the basics of data management and its influence on research.
• Discuss the behavioral analytics process.
• What can you term as the experience economy?
• The difference between agile data science and scala language.
• Explain the graph analytics process.

Independent Research Topics for Big Data

These independent research topics for big data are based on the various technologies and how they are related. Big data will greatly be important for modern society.

• The biggest investment is in big data analysis.
• How are multi-cloud and hybrid settings deep roots?
• Why do you think machine learning will be in focus for a long while?
• Discuss in-memory computing.
• What is the difference between edge computing and in-memory computing?
• The relation between the Internet of things and big data.
• How will digital transformation make the world a better place?
• How does data analysis help in social network optimization?
• How will complex big data be essential for future enterprises?
• Compare the various big data frameworks.
• The best way to gather and monitor traffic information using the CCTV images
• Evaluate the hierarchical structure of groups and clusters in the decision tree.
• Which are the 3D mapping techniques for live streaming data.
• How does machine learning help to improve data analysis?
• Evaluate DataStream management in task allocation.
• How is big data provisioned through edge computing?
• The model-based clustering of texts.
• The best ways to manage big data.
• The use of machine learning in big data.

Is Your Big Data Thesis Giving You Problems?

These are some of the best topics that you can use to prosper in your studies. Not only are they easy to research but also reflect on real-time issues. Whether in University or college, you need to put enough effort into your studies to prosper. However, if you have time constraints, we can provide professional writing help. Are you looking for online expert writers? Look no further, we will provide quality work at a cheap price.

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Database Management Systems (DBMS)

Database group website: db.cs.berkeley.edu

Declarative languages and runtime systems

Design and implementation of declarative programming languages with applications to distributed systems, networking, machine learning, metadata management, and interactive visualization; design of query interface for applications.

Scalable data analysis and query processing

Scalable data processing in new settings, including interactive exploration, metadata management, cloud and serverless environments, and machine learning; query processing on compressed, semi-structured, and streaming data; query processing with additional constraints, including fairness, resource utilization, and cost.

Consistency, concurrency, coordination and reliability

Coordination avoidance, consistency and monotonicity analysis; transaction isolation levels and protocols; distributed analytics and data management, geo-replication; fault tolerance and fault injection.

Data storage and physical design

Hot and cold storage; immutable data structures; indexing and data skipping; versioning; new data types; implications of hardware evolution.

Metadata management

Data lineage and versioning; usage tracking and collective intelligence; scalability of metadata management services; metadata representations; reproducibility and debugging of data pipelines.

Systems for machine learning and model management

Distributed machine learning and graph analytics; physical and logical optimization of machine learning pipelines; online model management and maintenance; prediction serving; real-time personalization; latency-accuracy tradeoffs and edge computing for large-scale models; machine learning lifecycle management.

Data cleaning, data transformation, and crowdsourcing

Human-data interaction including interactive transformation, query authoring, and crowdsourcing; machine learning for data cleaning; statistical properties of data cleaning pipelines; end-to-end systems for crowdsourcing.

Interactive data exploration and visualization

Interactive querying and direct manipulation; scalable spreadsheets and data visualization; languages and interfaces for interactive exploration; progressive query visualization; predictive interaction.

Secure data processing

Data processing under homomorphic encryption; data compression and encryption; differential privacy; oblivious data processing; databases in secure hardware enclaves.

Foundations of data management

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded.

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How to Choose a Dissertation Topic | 8 Steps to Follow

Published on November 11, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Choosing your dissertation topic is the first step in making sure your research goes as smoothly as possible. When choosing a topic, it’s important to consider:

• Your institution and department’s requirements
• Your areas of knowledge and interest
• The scientific, social, or practical relevance
• The availability of data and resources
• The timeframe of your dissertation
• The relevance of your topic

You can follow these steps to begin narrowing down your ideas.

Table of contents

Step 1: check the requirements, step 2: choose a broad field of research, step 3: look for books and articles, step 4: find a niche, step 5: consider the type of research, step 6: determine the relevance, step 7: make sure it’s plausible, step 8: get your topic approved, other interesting articles, frequently asked questions about dissertation topics.

The very first step is to check your program’s requirements. This determines the scope of what it is possible for you to research.

• Is there a minimum and maximum word count?
• When is the deadline?
• Should the research have an academic or a professional orientation?
• Are there any methodological conditions? Do you have to conduct fieldwork, or use specific types of sources?

Some programs have stricter requirements than others. You might be given nothing more than a word count and a deadline, or you might have a restricted list of topics and approaches to choose from. If in doubt about what is expected of you, always ask your supervisor or department coordinator.

Start by thinking about your areas of interest within the subject you’re studying. Examples of broad ideas include:

• Twentieth-century literature
• Economic history
• Health policy

To get a more specific sense of the current state of research on your potential topic, skim through a few recent issues of the top journals in your field. Be sure to check out their most-cited articles in particular. For inspiration, you can also search Google Scholar , subject-specific databases , and your university library’s resources.

As you read, note down any specific ideas that interest you and make a shortlist of possible topics. If you’ve written other papers, such as a 3rd-year paper or a conference paper, consider how those topics can be broadened into a dissertation.

After doing some initial reading, it’s time to start narrowing down options for your potential topic. This can be a gradual process, and should get more and more specific as you go. For example, from the ideas above, you might narrow it down like this:

• Twentieth-century literature   Twentieth-century Irish literature   Post-war Irish poetry
• Economic history   European economic history   German labor union history
• Health policy   Reproductive health policy   Reproductive rights in South America

All of these topics are still broad enough that you’ll find a huge amount of books and articles about them. Try to find a specific niche where you can make your mark, such as: something not many people have researched yet, a question that’s still being debated, or a very current practical issue.

At this stage, make sure you have a few backup ideas — there’s still time to change your focus. If your topic doesn’t make it through the next few steps, you can try a different one. Later, you will narrow your focus down even more in your problem statement and research questions .

There are many different types of research , so at this stage, it’s a good idea to start thinking about what kind of approach you’ll take to your topic. Will you mainly focus on:

• Collecting original data (e.g., experimental or field research)?
• Analyzing existing data (e.g., national statistics, public records, or archives)?
• Interpreting cultural objects (e.g., novels, films, or paintings)?
• Comparing scholarly approaches (e.g., theories, methods, or interpretations)?

Many dissertations will combine more than one of these. Sometimes the type of research is obvious: if your topic is post-war Irish poetry, you will probably mainly be interpreting poems. But in other cases, there are several possible approaches. If your topic is reproductive rights in South America, you could analyze public policy documents and media coverage, or you could gather original data through interviews and surveys .

You don’t have to finalize your research design and methods yet, but the type of research will influence which aspects of the topic it’s possible to address, so it’s wise to consider this as you narrow down your ideas.

It’s important that your topic is interesting to you, but you’ll also have to make sure it’s academically, socially or practically relevant to your field.

• Academic relevance means that the research can fill a gap in knowledge or contribute to a scholarly debate in your field.
• Social relevance means that the research can advance our understanding of society and inform social change.
• Practical relevance means that the research can be applied to solve concrete problems or improve real-life processes.

The easiest way to make sure your research is relevant is to choose a topic that is clearly connected to current issues or debates, either in society at large or in your academic discipline. The relevance must be clearly stated when you define your research problem .

Before you make a final decision on your topic, consider again the length of your dissertation, the timeframe in which you have to complete it, and the practicalities of conducting the research.

Will you have enough time to read all the most important academic literature on this topic? If there’s too much information to tackle, consider narrowing your focus even more.

Will you be able to find enough sources or gather enough data to fulfil the requirements of the dissertation? If you think you might struggle to find information, consider broadening or shifting your focus.

Do you have to go to a specific location to gather data on the topic? Make sure that you have enough funding and practical access.

Last but not least, will the topic hold your interest for the length of the research process? To stay motivated, it’s important to choose something you’re enthusiastic about!

Most programmes will require you to submit a brief description of your topic, called a research prospectus or proposal .

Remember, if you discover that your topic is not as strong as you thought it was, it’s usually acceptable to change your mind and switch focus early in the dissertation process. Just make sure you have enough time to start on a new topic, and always check with your supervisor or department.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence?

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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McCombes, S. & George, T. (2023, November 20). How to Choose a Dissertation Topic | 8 Steps to Follow. Scribbr. Retrieved August 29, 2024, from https://www.scribbr.com/research-process/dissertation-topic/

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EBSCO Open Dissertations makes electronic theses and dissertations (ETDs) more accessible to researchers worldwide. The free portal is designed to benefit universities and their students and make ETDs more discoverable. 

Increasing Discovery & Usage of ETD Research

With EBSCO Open Dissertations, institutions are offered an innovative approach to driving additional traffic to ETDs in institutional repositories. Our goal is to help make their students’ theses and dissertations as widely visible and cited as possible.

EBSCO Open Dissertations extends the work started in 2014, when EBSCO and the H.W. Wilson Foundation created American Doctoral Dissertations which contained indexing from the H.W. Wilson print publication, Doctoral Dissertations Accepted by American Universities, 1933-1955. In 2015, the H.W. Wilson Foundation agreed to support the expansion of the scope of the American Doctoral Dissertations database to include records for dissertations and theses from 1955 to the present.

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OATD.org aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 1100 colleges, universities, and research institutions . OATD currently indexes 7,221,548 theses and dissertations.

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We’re happy to present several data visualizations to give an overall sense of the OATD.org collection by county of publication, language, and field of study.

You may also want to consult these sites to search for other theses:

• Google Scholar
• NDLTD , the Networked Digital Library of Theses and Dissertations. NDLTD provides information and a search engine for electronic theses and dissertations (ETDs), whether they are open access or not.
• Proquest Theses and Dissertations (PQDT), a database of dissertations and theses, whether they were published electronically or in print, and mostly available for purchase. Access to PQDT may be limited; consult your local library for access information.

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Why search this literature?

It is crucial for graduate students to search the thesis and dissertation literature to make sure that an idea or hypothesis has not already been tested, explored, and published.  An additional reason to search this literature is that it is rich with ideas and information not found elsewhere.  If graduate students do not continue on as academics or if students that came after them in their programs did not continue their research, this literature may be the end of the line for scholarship on a topic.

ProQuest has published dissertation e-learning modules covering the usefulness of using dissertations as a research source.  See link below:

• Dissertation eLearning resources from ProQuest Uncover the value of dissertations.

Library Databases

All graduate students should, at minimum, search the ProQuest Dissertations & Theses Global database (PQDT) to see if the research they are proposing to do has already been done by a student at another institution/university.  RIT dissertations and theses have been included in PQDT since approximately 2006.

• Proquest Dissertations & Theses Global This link opens in a new window Identifies Ph.D. dissertations from U.S. & Canadian universities since 1861. Abstracts from 1980. Master's theses from 1988. Many with full-text.

RIT Digital Institutional Repository

• Digital Institutional Repository The digital institutional repository for the Rochester Institute of Technology, managed by RIT Libraries.
• ProQuest - Most Accessed Dissertations/Theses

Each month ProQuest updates this list of the top 25 Most-Accessed Dissertations and Theses across all subjects, based upon total PDF downloads. Find out what is trending.

The web sites below should also be consulted as appropriate to perform a full and thorough review of the dissertation and thesis literature beyond your introductory search of ProQuest Dissertations and Theses Global.  Consider whether a particular country or part of the world would have an interest in your potential research topic.

Only large-scale repositories of dissertations and theses are included here. You may also need to search individual university repositories directly.

• Ebsco Open Dissertations Search thousands of open dissertations and theses from over 50 participating libraries.
• EThOS (from the British Library) EThOS offers a 'single point of access' where researchers the world over can access ALL theses produced by UK Higher Education.
• Indian Institute of Science Dissertations and theses from the Indian Institute of Science, Bangalore, India.
• Indian Theses and Dissertations (Shodhganga) Over 130 participating Indian universities and over 8800 ETD documents.
• National ETD Portal (South Africa) South African theses and dissertations.
• Networked Digital Library of Theses and Dissertations The Networked Digital Library of Theses and Dissertations (NDLTD), is an international organization dedicated to promoting the adoption, creation, use, dissemination, and preservation of electronic theses and dissertations (ETDs). The NDLTD Union Catalog contains more than one million records of electronic theses and dissertations. Search the Union Catalog from here: http://thumper.vtls.com:6090/?theme=NDLTD
• OhioLINK ETD Center Electronic theses and dissertations from colleges and universities in the state of Ohio.
• Open Access Theses and Dissertations OATD aims to be the best possible resource for finding open access graduate theses and dissertations published around the world. Metadata (information about the theses) comes from over 600 colleges, universities, and research institutions. OATD currently indexes over 1.5 million theses and dissertations. RIT is included.
• Theses Canada Canadian universities voluntarily participate by submitting approved theses and dissertation to Theses Canada. Click on "Search Theses Canada" under the Introduction on the left hand side of the page to begin your search.
• TROVE From the National Library of Australia - Search Trove to explore amazing collections from Australian libraries, universities, museums, galleries and archives.
• Next: Thesis Writing Guides >>

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Marie desJardins suggests, "When you first start reading up on a new field, ask your advisor or a fellow student what the most useful journals and conference proceedings are in your field, and ask for a list of seminal or 'classic' papers that you should definitely read."

In addition to discussions with your advisor and strategies such as following your interests and searching the important article databases in your discipline as well as the UCLA Library Catalog, other suggestions include:

• Read a review article, which you can find by using the "article type" field in an article database. Look at the "future research" section at the end to find possible topics.
• Use the auto-alert feature that many article databases have, which runs a search you set up periodically and emails you the results.
• Explore Databases by Subject ; sometimes work on a topic is being done in another field or research from another discipline may enhance your work.
• Search ProQuest Dissertations & Theses to see if anyone has already written on the topic you are interested in. The object is to find nothing—which would indicate that you have an original idea to pursue.
• Another place to search for dissertations is  OATD.org (Open  Access Theses and Dissertations) ,

DesJardins also suggests that you start a journal of your research activities and ideas, keep files of the papers you read, and create an an online bibliography.

• Use bibliographic management software such as EndNote, Zotero, Mendeley or Reference Manager to create and manage a working bibliography of references; many article databases can format citations. Find out more at an upcoming Library workshop .
• Cite sources accurately and ethically; find guidelines on the Library's Avoiding Plagiarism guide.
• Schedule a consultation with a librarian; a list of subject specialists is available online.

Researching a dissertation topic includes checking to see of someone has already written on the topic you are considering. These sources can be consulted as part of your search. Dissertations not owned by UCLA may be requested on interlibrary loan from other institutions. 

UC's open access repository. Contains books, journals, working papers, conference publications, postprints, theses, and dissertations.

• Center for Research Libraries (CRL) Foreign Dissertations Search the CRL Catalog for dissertations already held at the Center. If a foreign dissertation is not at CRL, UCLA's Interlibrary Loan Service will request that CRL acquire it for your use. This special issue of Focus on Global Resources describes CRL's extensive collection of foreign dissertations.
• Networked Digital Library of Theses and Dissertations This international organization promotes the adoption, creation, use, dissemination, and preservation of electronic analogues to traditional paper-based theses and dissertations in order to more effectively share knowledge.
• << Previous: Researching An Advisor
• Next: Other Research Tips >>
• Last Updated: Jul 19, 2024 2:06 PM
• URL: https://guides.library.ucla.edu/grad

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ProQuest Dissertations & Theses Global   is a wealth of unique global scholarship, which is a credible and quality source to Uncover the Undiscovered research insights and intelligence in easiest and most effective ways. The equitable discoverability of more than 5.8 million dissertations and theses with coverage from year 1637, allows researchers to amplify diverse voices and place their research in a global context. The database offers nearly 3.2 million full texts for most of the dissertations added since 1997.

By leveraging the rich citation data found in ProQuest Dissertations & Theses Global and with new citation insight tool, researchers can benefit from focused pathways of discovery to build foundational knowledge on various research topics. Over 200,000 new dissertations and theses are added to the database each year to enrich the citation data continuously.

For more information about the ProQuest Dissertations & Theses Global , navigate to the Content Page .

ProQuest Dissertations & Theses Global   Database  is also part of ProQuest One Academic .  ProQuest Dissertations & Theses Global resides on the ProQuest Platform. For additional information about basic and advanced functionality or administrative capabilities, visit the   ProQuest Platform LibGuide .

The Dissertations Bootcamp eLearning Modules are a free resource that help support graduate student planning, writing, and research.

ProQuest Dissertations and Theses for the Student, Citation Connections

Here you can have a preview of the new features just launched for the Cited Reference documents in ProQuest Dissertations & Theses Global.

ProQuest Dissertations and Theses for the Librarian

Intended for Librarians who want to learn how to use the database's advanced search to support subject area research at their institution. Duration: 2 minutes.

ProQuest Dissertations and Theses for the Student, Searching Titles and Languages

This session reviews how Students, both Masters or PhD, can use the database's advanced search to identify known dissertations by title and search/analyze by languages other than English. Duration: 3 minutes.

ProQuest Dissertations and Theses for the Student, Searching Names

This session reviews how Students, both Masters or Ph, can use the database's advanced search to identify dissertations of known Authors or Advisors and further refine/analyze them. Duration: 4 minutes.

ProQuest Dissertations and Theses for the Student, Cited References

This session reviews how Students, both Masters or PhD, can use the dissertations to retrieve and explore further the Cited References. Duration: 4 minutes.

ProQuest Dissertations and Theses for the Student, Supplemental Files

This session reviews how Students, both Masters or PhD, can identify dissertations with Supplemental files which may contain useful materials for their graduate work. Duration: 3.5 minutes.

ProQuest Dissertations and Theses for the Student, Subject Searching

This session will show Students, both Masters or PhD, some Search techniques both Basic and Advanced to locate dissertations on a certain topic. Duration: 5.5 minutes.

Webinar Title : Best Practices for Searching ProQuest Dissertations and Theses Global

This session demonstrates how users can utilize the best practices of searching the " ProQuest Dissertations and Theses Global  database" to connect with relevant information for their academic work. Duration:  52 minutes.

Materials in English - Figures (Database size) and Platform features images now updated as of March 2023

• PQDT Global Basic Version PPT
• PQDT Global Advanced Version PPT
• PQDT Global Citation Connection PPT
• ProQuest ETD Dissemination Program
• ProQuest Dissertations & Theses Citation Index Training Assest: ProQuest Dissertations & Theses Citation Index PPT- May 2024
• Marketing Toolkit
• New! Embedded eLearning for Undergraduates
• Request Training
• Top Dissertations
• ProQuest Dissertations & Theses Citation Index
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Thesis & Dissertation Database Examples

Published on 9 September 2022 by Tegan George . Revised on 18 April 2024.

During the process of writing your thesis or dissertation , it can be helpful to read those submitted by other students.

Luckily, many universities have databases where you can find out who has written about your topic previously and how they approached it. While some databases are only accessible via your university library, more and more universities are making these databases public.

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General databases, university databases.

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• ProQuest Dissertations & Theses
• Open Access Theses and Dissertations

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• Brown University
• University of Galway
• Cornell University
• Dartmouth College
• Harvard University
• University of Pennsylvania

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George, T. (2024, April 18). Thesis & Dissertation Database Examples. Scribbr. Retrieved 30 August 2024, from https://www.scribbr.co.uk/thesis-dissertation/dissertation-database/

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Have you ever wondered which dissertations and theses are accessed most by researchers?

ProQuest Dissertations & Theses Global™ database is the world's most comprehensive curated collection of multi-disciplinary dissertations and theses from thousands of universities around the world.  Each month ProQuest posts the top 25 Most-Accessed Dissertations and Theses across all subjects, based upon total document views. Check out the current list of top titles (where a number is listed more than once, this indicates a tie in usage). View the Archives to see lists from previous months.

Dissertations     Theses

Theses - July 2024

Human trafficking in western europe: addressing the policy implications of supply and demand.

Taylor, Shayna, Indiana University, 2014, M.A. Subject: European studies

Social Media Use and Its Impact on Body Image: The Effects of Body Comparison Tendency, Motivation for Social Media Use, and Social Media Platform on Body Esteem in Young Women

Puglia, Deanna R., The University of North Carolina at Chapel Hill, 2017, M.A. Subject: Public health

Development and validation of the Toxic Leadership Scale

Schmidt, Andrew Alexander, University of Maryland, College Park, 2008, M.S. Subject: Occupational psychology

Cyber-Terrorism: Finding a Common Starting Point

Biller, Jeffrey Thomas, The George Washington University, 2012, LL.M. Subject: Law

Positive and Negative Effects of Social Media on Adolescent Well-Being

Kennedy, Katie, Minnesota State University, Mankato, 2019, M.S. Subject: Health education

The Influence of Social Media on Teens' Self-Esteem

Gallagher, Shannon M., Rowan University, 2017, M.A. Subject: Social psychology

Horror movie aesthetics: How color, time, space and sound elicit fear in an audience

Fu, Xiangyi, Northeastern University, 2016, M.F.A. Subject: Design

Using small talk cards to help lower the affective filter and increase language acqusition in adult English learners

La Spisa, Luisa, The William Paterson University of New Jersey, 2015, M.Ed. Subject: Adult education

Organizational strategies that inspire and improve employee retention and morale

Saliba, Soraya, Royal Roads University (Canada), 2007, M.A. Subject: Management

A Study of the History of Cryptocurrency and Associated Risks and Threats

Madey, Robert Stanley, Utica College, 2017, M.S. Subject: Computer science

The relationship between remote work and job satisfaction: the mediating roles of perceived autonomy, work-family conflict, and telecommuting intensity

Schall, Marie Antoinette, San Jose State University, 2019, M.S. Subject: Psychology

Leaders on Their Best Behavior: Leader Behaviors Resulting in Effective Virtual Teams

Frick, Sarah E., University of South Florida, 2017, M.A. Subject: Behavioral psychology

The Acute Effects of Alpha-Gpc on Hand Grip Strength, Jump Height, Power Output, Mood, and Reaction-Time in Recreationally Trained, College-Aged Individuals

Cruse, Josey Lucas, Eastern Kentucky University, 2018, M.S. Subject: Physical education

My Experience with Oncology Clinical Research: How Clinical Trials Silently Exclude Urban Patients and What I Have Done to Make One Research Program More Inclusive

Doyle, Jamie L., Temple University, 2019, M.A. Subject: Medical ethics

Application of Investigative Psychology to Psychodynamic and Human Development Theories: Examining Traits and Typologies of Serial Killers

Smith, Jordyn, California Baptist University, 2018, M.A. Subject: Behavioral psychology

Mentoring program for foster youth transitioning out of foster care: A grant proposal

King, Patricia Vidal, California State University, Long Beach, 2011, M.S.W. Subject: Social work

Parasocial relationships with celebrities: An illusion of intimacy with mediated friends

Laken, Amanda, University of Nevada, Las Vegas, 2009, M.A. Subject: Journalism

Motivational push factors for visiting reenactment sites

Guha, Sutithee, San Jose State University, 2009, M.S. Subject: Recreation

Teachers' attitudes towards and uses of translanguaging in English language classrooms in Iowa

Nambisan, Kavitha, Iowa State University, 2014, M.A. Subject: English as a second language

Comparing Welch ANOVA, a Kruskal-Wallis test, and traditional ANOVA in case of heterogeneity of variance

Liu, Hangcheng, Virginia Commonwealth University, 2015, M.S. Subject: Biostatistics

Journaling, emotional intelligence, and health benefits

Hunsaker, Ryan, University of South Dakota, 2013, M.A. Subject: Clinical psychology

Understanding the Marketing and Management of Trails Using Pestel Analysis

Fosher, Holly, University of New Hampshire, 2018, M.S. Subject: Recreation

Assessing the Experiences of Women Who Have Suffered Intimate Partner Violence Living in Shelters

Hammond, Queencilla N., Illinois State University, 2018, M.S. Subject: Criminology

Identifying and overcoming barriers in clinical research management: A review of clinical trials within an academic medical center

Hatfield, Elisha, University of North Texas Health Science Center at Fort Worth, 2008, M.S. Subject: Health care management

An examination of the time management behaviors and work-life balance of K-12 music educators

Bley, Scott, Bowling Green State University, 2015, Mus.M. Subject: Music education

The relationship of perceived autonomy-supportive coaching behavior with motivation among high school athletes

Burrell, Chelsea Jordan, The University of North Carolina at Greensboro, 2016, M.S. Subject: Kinesiology

Sustainable Innovation in the Cosmetic Industry---Obstacles, Contributing Factors, and Strategies

Feng, Chen, University of Minnesota, 2016, M.S.E.M. Subject: Management

Experimental Investigations and Modeling of the Strain Sensing Response of Matrices Containing Metallic Inclusions

Chowdhury, Swaptik, Arizona State University, 2017, M.S. Subject: Engineering

An exporation and analysis of the sociological content in the art of Frida Kahlo: Mexican ethnic and cultural identity, feminism, the struggle of the disable and her political ideology

Fernandez, Lorena Beatriz, California State University, Dominguez Hills, 2001, M.A. Subject: Art history

The centrality of Zacchaeus in Luke's Gospel: An exegetical study of Luke 19:1-10

Galloway, Thomas Landon, Oral Roberts University, 2011, M.A. Subject: Biblical studies

Effects of the use of an animal in print ads on attention and attitudes toward advertising and the different information processing

Kim, Yun Chung, Oklahoma State University, 2013, M.S. Subject: Mass communication

Occupational therapy and equine-assisted activities and therapies: An expanded view for hippotherapy within occupational therapy

Osmann, Erika, Colorado State University, 2015, M.S. Subject: Occupational therapy

The Reverend Jim Jones and religious, political, and racial radicalism in Peoples Temple

Abbott, Catherine, The University of Wisconsin - Milwaukee, 2015, M.A. Subject: American history

Acupuncture therapy as adjunctive treatment in adult patients with mild to moderate persistent asthma

Ansari, Zenas, Weill Medical College of Cornell University, 2016, M.S. Subject: Health sciences

An Analysis of Motivation and Culture: Examining the 2009-2016 Wells Fargo Case

Bishop, Erin Elizabeth, Indiana University, 2018, M.A. Subject: Communication

Genetic cross-relationships between criminal behavior and severe alcohol-related problems

Tehrani, Jasmine Arianna, University of Southern California, 1998, M.A. Subject: Clinical psychology

Autism spectrum disorders and romantic intimacy

Wedmore, Haley V., Iowa State University, 2011, M.S. Subject: Behavioral sciences

Perceived Organizational Support and Engagement

Cherubin, Gene L., Nyack College, 2012, M.S. Subject: Business administration

In History No One Can Hear You Scream: Feminism and the Horror Film 1974-1996

Mehls, Robert, University of Colorado at Boulder, 2015, M.A. Subject: Film studies

Evaluation of the Effects of Alpha Glyceryl Phosphoryl Choline and Caffeine on Strength, Explosive Ability, Cognition and Growth Hormone Levels

Marcus, Lena R., University of Louisiana at Lafayette, 2016, M.S. Subject: Kinesiology

Generation Z and Corporate Social Responsibility

Uche, Sharon C., Syracuse University, 2018, M.S. Subject: Communication

Exploring brand personality through archetypes

Roberts, Candice, East Tennessee State University, 2010, M.A. Subject: Mass communication

Social media marketing in a small business: A case study

Cox, Sarah Lynne, Purdue University, 2012, M.S. Subject: Marketing

Machismo: A culturally contructed concept

Ceballos, Miriam Viviana, California State University, Fresno, 2013, M.A. Subject: Social work

Fear of Crime Through the Ears of a Murderino: The Effect of True Crime Podcasts on Fear of Crime

Bailey, Elizabeth June, Eastern Kentucky University, 2017, M.A. Subject: Criminology

Devil in a White Dress: Marie-Antoinette and the Fashioning of a Scandal

Goodman, Sarah, San Jose State University, 2017, M.A. Subject: Art history

Immersive Media in Museums and Museum Education

Knise, Felicia, Drexel University, 2017, M.S. Subject: Arts management

Static and dynamic inventory models under inflation, time value of money and permissible delay in payment

Khorrami, Babak, West Virginia University, 2001, M.S.I.E. Subject: Industrial engineering

Evolution of leadership theories

Maslanka, Ann M., Grand Valley State University, 2004, M.S. Subject: Social research

Linguistic analysis of natural language engineering requirements

Lamar, Carl, Clemson University, 2009, M.S. Subject: Mechanical engineering

Red Albion: Genocide and English colonialism, 1622--1646

Kruer, Matthew, University of Oregon, 2009, M.A. Subject: American history

Effects of information technology on organizational communication: A case study of a selected healthcare organization

Agboola, Toluwani C., The Florida State University, 2013, M.S. Subject: Communication

Understanding Personal Support Workers and their Role in Ontario

Sethna, Cyra, University of Ontario Institute of Technology (Canada), 2013, M.H.Sc. Subject: Public health

Hyper-heuristics for the automated design of black-box search algorithms

Martin, Matthew Allen, Missouri University of Science and Technology, 2015, M.S. Subject: Computer science

The dynamics of wearing hijab for Muslim American women in the United States

Tariq-Munir, Erum, Iowa State University, 2014, M.S. Subject: Ethnic studies

The Impact of Onboarding Levels on Perceived Utility, Organizational Commitment, Organizational Support, and Job Satisfaction

Meyer, Amanda M., Southern Illinois University at Edwardsville, 2016, M.A. Subject: Occupational psychology

An Examination of Failed Digital Forensics and the Criminal Justice System

Lundquist, Ryan, Utica College, 2016, M.S. Subject: Criminology

Effectiveness of internal controls: Payroll fraud

Griffin, Nydia, Utica College, 2017, M.B.A. Subject: Finance

Managing Workplace Diversity: The Importance of Diversity and Inclusion

Rankin-Gomez, Kelly, Davenport University, 2011, M.B.A. Subject: Business administration

Phonology and Grammar Sketch of Yoy

Phakkahn, Naiyapak, California State University, Long Beach, 2017, M.A. Subject: Linguistics

UBER: A Case Study in Strategy, Leadership and Change

Spott, Patrick, The College of St. Scholastica, 2018, M.B.A. Subject: Management

The Media's Portrayal of Human Trafficking versus Experiences: Understanding Human Trafficking from the Survivor's Perspective by Analyzing Media Portrayal of Human Trafficking and Debunking the Myths

Sanders, Katherine, The University of North Carolina at Charlotte, 2018, M.S. Subject: Criminology

Reclaiming Racial/Ethnic Identity vs. Reconstructing Asian American Masculinity in Gene Luen Yang's American Born Chinese

Yoo, Hyun-Joo, Eastern Michigan University, 2018, M.A. Subject: American literature

Language-Learner Preferences for Corrective Feedback

Deptolla, Allison, University of Colorado at Boulder, 2019, M.A. Subject: Linguistics

Discovering Japan: Anime and learning Japanese culture

Manion, Annie, University of Southern California, 2005, M.A. Subject: Cultural anthropology

Empress Wu of the Tang dynasty: Becoming the only female emperor in China

Rhee, Jong Min, University of Southern California, 2008, M.A. Subject: Asian history

The World of Spirituality: Princess Mononoke interpreted through Shinto

Kayano, Terumi, Hawaii Pacific University, 2009, M.A. Subject: Rhetoric