Abstract
Data management plans as a tool for making data fair Andy Götz (ESRF Data Manager and PaNOSC Coordinator), explores if and how Data Management Plans (DMPs) are essential for making data FAIR. In the previous articles in this series on FAIR data, we explained how the scientific world is undergoing a major change with the widespread adoption of the so-called FAIR principles for research data. FAIR stands for Findable, Accessible, Interoperable and Reusable and was first published in a paper in Nature during 2016. (1) The FAIR principles were proposed to ensure research data are made available to the scientific community so that they can be found, downloaded, understood and reused. The goal is to make data used in scientific publications available to the community so they can verify the results, reproduce them and eventually derive new results from them. Applying the FAIR principles systematically to research data will address the reproducibility, also known as the replicability crisis (2) in science. It will make scientific data available for verifying results and use beyond their original purpose.
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