Research data management includes the organization, documentation, storage, back-up, archiving, sharing, and publication of data. Research data management not only increases the visibility of the generated and/or processed data, but also the related research. It also helps to improve data quality and data processing, while making subsequent use of the data easier both for the original researchers and for others. Moreover, it facilitates the use of data in new contexts created when different data sets are linked. Sustainable research data management ensures the fulfillment of subject-specific requirements, as well as potential obligations related to funding agreements. It also helps meet publishers' standards and requirements, as well as ensuring compliance with the principles of good scientific practice.

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This page was last edited on 10 February 2022. Unless otherwise noted, this work is licensed under a Creative Commons Attribution 4.0 International License.