Citation (of Data)
Citation of data is the practice of citing the sources of data used in research, analysis, and other forms of data-driven work. Citing data sources is important for a number of reasons, including providing credit to the original creators of the data, allowing readers to verify the accuracy of the data, and providing a way for readers to find additional information about the data. Data citation is an important part of the research process, and is becoming increasingly important as more data is shared and used in research.
History of Citation of Data
The practice of citing data sources has been around for centuries, but has become increasingly important in recent years as more data is shared and used in research. In the past, data was often shared in the form of physical documents, such as books and journals, and citations were made in the form of footnotes or endnotes. With the advent of the internet, data is now often shared in digital formats, such as spreadsheets, databases, and websites, and citations are made in the form of hyperlinks or URLs.
In recent years, the importance of data citation has been recognized by organizations such as the International Council for Science (ICSU) and the International Association of Scientific, Technical and Medical Publishers (STM). These organizations have developed standards and guidelines for data citation, such as the ICSU Data Citation Principles and the STM Data Citation Guidelines. These standards and guidelines provide a framework for data citation that is consistent across disciplines and countries.
Table of Comparisons
Data Source | Citation Format |
---|---|
Book | Author, Title, Publisher, Year |
Journal Article | Author, Title, Journal, Volume, Issue, Year |
Website | Author, Title, URL, Date Accessed |
Spreadsheet | Author, Title, URL, Date Accessed |
Database | Author, Title, Database, Date Accessed |
Summary
Citation of data is the practice of citing the sources of data used in research, analysis, and other forms of data-driven work. Citing data sources is important for a number of reasons, including providing credit to the original creators of the data, allowing readers to verify the accuracy of the data, and providing a way for readers to find additional information about the data. Data citation is an important part of the research process, and is becoming increasingly important as more data is shared and used in research. For more information on data citation, readers can consult the ICSU Data Citation Principles and the STM Data Citation Guidelines.
See Also
- Data Citation
- Data Sharing
- Data Analysis
- Data Visualization
- Data Mining
- Data Quality
- Data Governance
- Data Security
- Data Privacy
- Data Ethics