database management thesis

Self-Driving Database Management Systems: Forecasting, Modeling, and Planning

Database management systems (DBMSs) are an important part of modern datadriven applications. However, they are notoriously difficult to deploy and administer because they have many aspects that one can change that affect their performance, including database physical design and system configuration. There are existing methods that recommend how to change these aspects of databases for

an application. But most of them require humans to make final decisions on what changes to apply and when to apply them. Furthermore, these previous tuning methods either (1) require expensive exploratory testing, (2) are reactionary to the workload and can only solve problems after they occur, (3) focus only on improving one single aspect of the DBMS, or (4) do not provide explanations on their decisions.

Thus, most DBMSs today still require onerous and costly human administration. In this thesis, we present a novel architecture for a self-driving DBMS that enables automatic system management and removes the administration impediments. Our approach consists of three frameworks: (1) workload forecasting, (2) behavior modeling, and (3) action planning. The workload forecasting framework

predicts the query arrival rates under varying database workload patterns using an ensemble of time-series forecasting models. The behavior modeling framework

constructs fine-grained machine learning models that predict the runtime behavior of the DBMS. Lastly, the action planning framework generates a sequence of optimization

actions based on these forecasted workload patterns and behavior model estimations. It uses receding horizon control and Monte Carlo tree search to approximate the complex optimization problem effectively. Our forecasting-modeling-planning architecture enables an autonomous DBMS

that proactively plans for optimization actions without expensive testing. It automatically applies the actions at proper times, holistically controls all system aspects,

and provides explanations on its decisions.

Degree Type

• Dissertation
• Computer Science

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• Doctor of Philosophy (PhD)

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• Database Management

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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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Theses/dissertations from 2024 2024.

A Time Series Geometric Term Structure Model: Indications for U.S. Treasury Yield Curve Interpretation and U.S. Federal Funds Target Rate Forecasting , Danny L. White

Theses/Dissertations from 2023 2023

Analyzing the Effect of Sponsorship Disclosure on Social Media Influencer Contribution to Engagement in the Test and Measurement Industry , Todd B. Baker

Moral Virtues: A Quantitative Study on the Impact of National Culture on Integrity , Andrew I. Ellestad

The Barriers to Active and Experiential Learning in Accounting Education , Elizabeth Holbrook

Phenomenological Study of African American Female Partners in Top U.S. Corporate Law Firms , Tony Kelly

Career Shock and Voluntary Turnover Intention among Current Employees in the Public Sector , Charlena Miller

Emotional Intelligence, Self-Efficacy, and the Perceived Employability of Traditional Undergraduate Business Students in a Private Midwest Educational Institution , Michele Ryan

Effect of Black- or White-Sounding Name and Impact of Intergroup Contact with Black Individuals on Auditor Judgments , Vanessa J. Tijerina

Theses/Dissertations from 2022 2022

Young Adults Who Save for Retirement: A Grounded Theory Study of the Decision-Making Process , Chad Greenwood

How do People Justify not Paying their Taxes? A Study on Moral Disengagement and Tax Evasion , Grace M. Hufff

Identity Work in Aspiring Big 4 Accounting Practice Leaders: Narratives of Personal Reinvention , Michael H. Kinnen

The Impact of Workplace Mentoring on Meaningful Work for People With Workplace Anxiety in the Insurance Industry , Susan L. Nelson

The Impact of Digital Marketing Tactics on the Recruitment of Domestic First-Generation College Students in the Southwest United States , Noelle Seybert

Exploring the Relationship Between Domestic Violence and Workplace Violence , Jared W. Snow

Theses/Dissertations from 2021 2021

Onboarding Autism Employees in Technology Industry , Heung-For Cheng

Impact of Corporate Social Responsibility and Sustainability Practices on Brand Trust and Purchase Intention in the Wine Industry , Sarah L. Cooley

A New Model of Opportunity Recognition: Linking Individual Agency, Entrepreneurial Action, and the Innovation Process , Eva M. Fast

Financial Literacy and Behavior in Credit Unions: An Exploration of Member Financial Literacy and Financial Behavior in the Credit Union Model , Peter R. Fisher

Predicting the Financial Vulnerability of U.S. Public Charities: A Test of the Tuckman-Chang Model , Alesha L. Graves

The Strategic Response of Nonprofits to Institutional Pressures: An Intellectual Capital , Mario L. Hicks

Ethical Attitudes of Accounting Faculty and Public Accountants , James Karan

An Analysis of the Impact of an Influencer's Perceived Trustworthiness and Content Quality on Their Follower's Travel Intent , Josh C. McNair

Remote Working and Open Offices: A Phenomenological Study of the Factors Impacting Employee Productivity , Frank Murphy

Rural Coopetition: A Consumer Perspective of Marketing Activities Involving SMEs , Cassandra A. Ritzen

Consumer Behavior and Ad-Evoked Effects in Native Ads: The Role of Congruence and Brand Familiarity , Steven Rydin

The Influence of Type of Implicit EWOM on Purchase Intention , Michael H. Starr

U.S. Marine Veterans of the Afghanistan and Iraq Wars Diagnosed with PTSD: Perceived Employment Barriers Faced by Marines with PTSD Upon Discharge , Marlon G. Ware

Theses/Dissertations from 2020 2020

The Relationship Among Generational Cohorts, Tenure, Job Categories, and Employee Readiness for Organizational Change in a Healthcare Environment: A Quantitative Study , Jerry S. K. Adatsi

Electronic Health Records: Influencing Performance at Critical Access Hospitals , John Bennett

Millennial Students’ Awareness of Retirement Issues, Their Retirement Preparedness and Future Expectations , Krzysztof P. Bryniuk

Assessing the Impact of Transition from Rules-based to Principles-based Accounting in the Recognition of Revenue: A Study of Public Companies listed in the Russell 3000 Index that Elected the Full Retrospective Method of Accounting , Foday Y. Deen-Conteh

The Impact of Buyer Needs on Perceived Trade Show Effectiveness , RJ Fryan

Self-Determination Theory and Pharmaceutical Salespeople: Does Motivational Orientation of U.S.-Based Pharmaceutical Salespeople Influence Sales Performance? , Brandon Gilbert

A Cord of Three: A Phenomenological Study of Linkages in Interdenominational Interactions in Northwest Wyoming as Informed Through Network and Social Exchange Theories , Timothy N. Gray

Management Succession in a Two-Family-Owned Business: A Case Study , Dwight D. Ham

Factors Motivating Leaders to Volunteer: An Examination of Volunteer Leadership in Long-term Post-Acute Care , Christian Allen Mason

Happiness at Work: A Phenomenological Investigation of Clinic Managers , Jorge Melendez

Can Trait Emotional Intelligence Variables of Well-Being, Self-Control, Emotionality, and Sociability Individually or Collectively Predict a Software Development Engineer's Creativity? , Mwoyondishe Jonathan Mvududu

Job Satisfaction Among Faculty Members at CCCU Institutions , Heather C. Vaccaro

Sticker Price Elasticity as Predictor of Tuition Reset Success: A Quantitative Approach , Robert F. Van Cleef

A Narrative Analysis of Virtue Ethics Among Accounting Professors , Gibran N. Zogbi

Theses/Dissertations from 2019 2019

Leading Change: Examining the Relationships between Leadership Style, Organizational Culture and Change Readiness in Christian Universities of the State of Oregon , Dale Seipp Jr.

Doctorum Reciproco: Multi-Generational Professionals and Their Sentimentality Towards Reciprocity , Sal Villegas

Identifying City Attributes for Place Branding that Create Strong Self-Brand Connections , Matthew Vollrath

An Empirical Examination of Formal and Informal Institutional Factors’ Influence on Global Food Industry Sustainability Engagement , Kat Yamamoto

Theses/Dissertations from 2018 2018

Entrepreneurship Education’s Impact on Entrepreneurial Intention: A Predictive Regression Model of Chinese University Students , Brian A. Lavelle

Theses/Dissertations from 2017 2017

The Link Between Job Satisfaction and the Intention to Leave Among Casino Employees , Oliver Wayne Aho

Exploring Factors that Help Students Feel More Connected to Their Online Instructors , Debra Austin

Scoping Job Enlargement with the Cultural Dimension of Individualism: An Industrial , Mark Wm. Cawman

Exceptionally Employable: A Study of the Value of Contrasting Educational Modalities within Christian Liberal Arts Universities in Preparing Students for Employment Suitability , Sam Heinrich

The Impact of CSR Efforts on Firm Performance in the Energy Sector , Robert Lloyd

Public Company Health Insurers and Medical Loss Ratios: An Event Study of Dates Associated with the Affordable Care Act , Rachelle Quinn

Self-Determination and Human Resource Retention: Employee and Volunteer Motivation to Stay in Rural Oregon Nonprofit Organizations , Nicole Richman

Understanding Business Education: Examining the Effect of the Application of Strategic Learning Among Diverse Business Disciplines , Dan Thoman

Pre-Certification Interprofessional Education: Ideal vs. Reality Patient Safety Curriculum , Edward E. Ward

Theses/Dissertations from 2016 2016

Marketing Channel Attitudes of Chinese Business-to-Business Companies: An Empirical Buyer Behavior Study for U.S. Companies Marketing to Chinese B2B Customers , Jonathan Cooley

Corporate Social Responsibility: Sexual Exploitation of Children in the Costa Rican Hotel Tourist Industry , Michelle Flynn Osborne

A Phenomenological Investigation of Factors Leading to Success in Diverting Non-Urgent Emergency Department Use at a Rural Critical Access Hospital Using the Patient Centered Medical Home Model , Paul Gratton

An Investigation of the Trends in Pricing for Christian Higher Education and Its Relationship to Perceived Quality , Richard Holaway

Understanding the Process Small Businesses Use to Capture, Convert, and Integrate Survival Knowledge , Frank Marshall

Encouraging Ethical Behavior in the Workplace by Way of the Classroom: Examining the Use of Social Media in Marketing Ethics Instruction to Influence Millennials‘ Perception of Workplace Ethics , Traci Thomas Pierce

Theses/Dissertations from 2015 2015

The Lived Experience of College Choice , Ryan Ladner

The Management of a Turnaround after an Ethical Breach in a Public Institution of Higher Education , Ashley Stark

Nontraditional Students in Management and Accounting Programs: Investigating the Relationship between Personality and Major Satisfaction in the Community College Setting , Brad Ward

Theses/Dissertations from 2014 2014

Empirical Study on the Relationship between Ethical Leadership and Organizational Climate of Innovation , Virlena Crosley

Undergraduate Education Background and Ethical Decision Making , Ian H. King

Understanding Consumers' Thoughts and Feelings about Financial Literacy and How Financial Literacy Affects Their Lives Using the Zaltman Metaphor Elicitation Technique (ZMET) , Belle Marie

Dissertations from 2013 2013

An Exploratory Study of the Role of Values in Microeconomic Decision-Making and the Implications for Organizations and Leaders , Holly A. Bell

Later Life Career Transitions: Exploration of Factors and Turning Points that Influence Career Transitions in Later Life , Estle Harlan

The Role of Creativity in the Ethical Orientation of Oregon CPAs , John D. Porter

Dissertations from 2012 2012

Exploring the background and motivations of social entrepreneurs , Timothy A. Lucas

Dissertations from 2011 2011

Organizational culture and brand : A grounded theory assessment of employees' enablement to live the brand at a best place to work , Tyler Laird Magee

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Harvard University Theses, Dissertations, and Prize Papers

The Harvard University Archives ’ collection of theses, dissertations, and prize papers document the wide range of academic research undertaken by Harvard students over the course of the University’s history.

Beyond their value as pieces of original research, these collections document the history of American higher education, chronicling both the growth of Harvard as a major research institution as well as the development of numerous academic fields. They are also an important source of biographical information, offering insight into the academic careers of the authors.

Spanning from the ‘theses and quaestiones’ of the 17th and 18th centuries to the current yearly output of student research, they include both the first Harvard Ph.D. dissertation (by William Byerly, Ph.D . 1873) and the dissertation of the first woman to earn a doctorate from Harvard ( Lorna Myrtle Hodgkinson , Ed.D. 1922).

Other highlights include:

• The collection of Mathematical theses, 1782-1839
• The 1895 Ph.D. dissertation of W.E.B. Du Bois, The suppression of the African slave trade in the United States, 1638-1871
• Ph.D. dissertations of astronomer Cecilia Payne-Gaposchkin (Ph.D. 1925) and physicist John Hasbrouck Van Vleck (Ph.D. 1922)
• Undergraduate honors theses of novelist John Updike (A.B. 1954), filmmaker Terrence Malick (A.B. 1966),  and U.S. poet laureate Tracy Smith (A.B. 1994)
• Undergraduate prize papers and dissertations of philosophers Ralph Waldo Emerson (A.B. 1821), George Santayana (Ph.D. 1889), and W.V. Quine (Ph.D. 1932)
• Undergraduate honors theses of U.S. President John F. Kennedy (A.B. 1940) and Chief Justice John Roberts (A.B. 1976)

What does a prize-winning thesis look like?

If you're a Harvard undergraduate writing your own thesis, it can be helpful to review recent prize-winning theses. The Harvard University Archives has made available for digital lending all of the Thomas Hoopes Prize winners from the 2019-2021 academic years.

Accessing These Materials

How to access materials at the Harvard University Archives

How to find and request dissertations, in person or virtually

How to find and request undergraduate honors theses

How to find and request Thomas Temple Hoopes Prize papers

How to find and request Bowdoin Prize papers

• email: Email
• Phone number 617-495-2461

Related Collections

Harvard faculty personal and professional archives, harvard student life collections: arts, sports, politics and social life, access materials at the harvard university archives.

Database Information in References

Database information is seldom provided in reference list entries. The reference provides readers with the details they will need to perform a search themselves if they want to read the work—in most cases, writers do not need to explain the path they personally used.

Think of it this way: When you buy a book at a bookstore or order a copy off the internet, you do not write the name of the (online) bookstore in the reference. And when you go to the library and get a book off the shelf, you do not write the name of the library in the reference. It is understood that readers will go to their bookstore or library of choice to find it.

The same is true for database information in references. Most periodicals and books are available through a variety of databases or platforms as well as in print. Different readers will have different methods or points of access, such as university library subscriptions. Most of the time, it does not matter what database you used, so it is not necessary to provide database information in references.

However, there are a few cases when it is necessary for readers to retrieve the cited work from a particular database or archive, either because the database publishes original, proprietary content or because the work is of limited circulation. This page explains how to write references for works from academic research databases and how to provide database information in references when it is necessary to do so.

Database information in references is covered in the seventh edition APA Style manuals in the Publication Manual Section 9.30 and the Concise Guide Section 9.30

Related handout

• Creating an APA Style Reference List (PDF, 179KB)

Works from academic research databases

Do not include database information for works obtained from most academic research databases or platforms because works in these resources are widely available. This includes journal articles, books, and book chapters from academic research databases.

• Examples of academic research databases and platforms include APA PsycNet, PsycInfo, Academic Search Complete, CINAHL, Ebook Central, EBSCOhost, Google Scholar, JSTOR (excluding its primary sources collection because these are works of limited distribution), MEDLINE, Nexis Uni, Ovid, ProQuest (excluding its dissertations and theses databases because dissertations and theses are works of limited circulation), PubMed Central (excluding authors’ final peer-reviewed manuscripts because these are works of limited circulation), ScienceDirect, Scopus, and Web of Science.
• When citing a work from one of these databases or platforms, do not include the database or platform name in the reference list entry unless the work falls under one of the exceptions described next ( databases with original, proprietary content and works of limited circulation ).
• Likewise, do not include URLs from these academic research databases in reference list entries because these URLs will not resolve for readers.
• Instead of a database URL, include a DOI if the work has one. If a widely available work (e.g., journal article, book, book chapter) from an academic research database does not have a DOI, treat the work as a print version. See the guidelines for how to include DOIs and URLs in references for more information.

The following example shows how to create a reference list entry for a journal article with a DOI from an academic research database.

Hallion, M., Taylor, A., Roberts, R., & Ashe, M. (2019). Exploring the association between physical activity participation and self-compassion in middle-aged adults. Sport, Exercise, and Performance Psychology , 8 (3), 305–316. https://doi.org/10.1037/spy0000150

• Parenthetical citation: (Hallion et al., 2019)
• Narrative citation: Hallion et al. (2019)

If the article did not have a DOI, the reference would simply end after the page range, the same as the reference for a print work.

Databases with original, proprietary content

Provide the name of the database or archive when it publishes original, proprietary works available only in that database or archive (e.g., UpToDate or the Cochrane Database of Systematic Reviews). Readers must retrieve the cited work from that exact database or archive, so include information about the database or archive in the reference list entry.

References for works from proprietary databases are similar to journal article references. The name of the database or archive is written in italic title case in the source element, the same as a periodical title, and followed by a period. After the database or archive information, also provide the DOI or URL of the work . If the URL is session-specific (meaning it will not resolve for readers), provide the URL of the database home page or login page instead.

The following example shows how to create a reference list entry for an article from the UpToDate database:

Stein, M. B., & Taylor, C. T. (2019). Approach to treating social anxiety disorder in adults. UpToDate . Retrieved September 13, 2019, from https://www.uptodate.com/contents/approach-to-treating-social-anxiety-disorder-in-adults

• Parenthetical citation: (Stein & Taylor, 2019)
• Narrative citation: Stein and Taylor (2019)

Works of limited circulation

Provide the name of the database or archive for works of limited circulation, such as dissertations and theses, manuscripts posted in a preprint archive, and monographs in ERIC. The database may also contain works of wide circulation, such as journal articles—only the works of limited circulation need database information in the reference.

References for works of limited circulation from databases or archives are similar to report references. The name of the database or archive is provided in the source element (in title case without italics ), the same as a publisher name, and followed by a period. After the database or archive information, also provide the DOI or URL of the work. If the URL is session-specific (meaning it will not resolve for readers), provide the URL of the database home page or login page instead.

The following are examples of works of limited circulation from databases or archives (for additional examples, see Section 9.30 of the Publication Manual ):

• dissertations and theses published in ProQuest Dissertations and Theses Global

Risto, A. (2014). The impact of social media and texting on students’ academic writing skills (Publication No. 3683242) [Doctoral dissertation, Tennessee State University]. ProQuest Dissertations and Theses Global.

• Parenthetical citation: (Risto, 2014)
• Narrative citation: Risto (2014)
• manuscripts posted in a preprint archive such as PsyArXiv

Inbar, Y., & Evers, E. R. K. (2019). Worse is bad: Divergent inferences from logically equivalent comparisons . PsyArXiv. https://doi.org/10.31234/osf.io/ueymx

• Parenthetical citation: (Inbar & Evers, 2014)
• Narrative citation: Inbar and Evers (2014)
• monographs published in ERIC

Riegelman, R. K., & Albertine, S. (2008). Recommendations for undergraduate public health education (ED504790). ERIC. https://files.eric.ed.gov/fulltext/ED504790.pdf

• Parenthetical citation: (Riegelman & Albertine, 2008)
• Narrative citation: Riegelman and Albertine (2008)

If you are in doubt as to whether to include database information in a reference, refer to the template for the reference type in question (see Chapter 10 of the Publication Manual ).