Data Citation
Like many types of research, data that does not belong to you (data that you did not create) must be properly cited. How to properly cite data will depend upon the citation style you are using, but generally, you will want to include the following information:
-
Data creator(s) or contributors(s),
-
Date of publication
-
Title of dataset(s)
-
Publisher
-
Data identifier (for example: DOI) or URL for data source
-
Version ID (if appropriate)
-
Date of access (if appropriate)
Review the Data Citation page by the United States Geological Survey at this link for examples on how to cite your data in different styles.
Data Ethics
Similar to citing datasets, it is extremely important to follow all data ethics guidelines that inform your research. This is especially important if your research project includes any personally-identifiable data such as names, genders, geographic locations, races, ages, health information, etc. This sensitive and confidential data must be properly and carefully handled. These data guidelines include the ethical acquisition, management, and use of data for the entire research project.
Many professional societies as well as federal agencies outline clear ethical practices and principles that should be followed throughout the research project. Researchers should review their disciplinary and academic ethical standards before beginning a research project so they are aware of any data considerations. For general information on data ethics, consider the items, below, from the library's collections.
The ethical use of data in education: Promoting responsible policies and practices by Call Number: onlineISBN: 9780807779910Publication Date: 2021This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they impact decisionmaking. They will understand how codes of ethics deal with the use of data within education as well as in other disciplines.
Data ethics and challenges by Call Number: onlineISBN: 9789811907524Publication Date: 2022This book gives a thorough and systematic introduction to Data, Data Sources, Dimensions of Data, Privacy, and Security Challenges associated with Data, Ethics, Laws, IPR Copyright, and Technology Law. This book will help students, scholars, and practitioners to understand the challenges while dealing with data and its ethical and legal aspects. The book focuses on emerging issues while working with the Data.
The Big Data Agenda by Call Number: onlineISBN: 9781911534723Publication Date: 2018This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work.
