What is it about?
Publications are only the tip of the iceberg. Scientific research products that support those publications represent the bulk of time, money, and effort, yet these resources are often hidden and not recognized outside of the publication. By making data findable, accessible, interoperable, and reusable (FAIR), we can begin to build on robust data-driven science to explore questions not previously considered when these data were collected. With the level of investment made to acquire each data set, it is in our best interest to ensure they continue to be used, and - as importantly - that the data providers be recognized for their efforts to share FAIR data.
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Why is it important?
This article promotes data, a critical but often under-appreciated part of the scientific process, as a first-class research product.
Perspectives
Good data management pays huge dividends to the world of science. We want to encourage and aid other researchers in achieving good data goals.
Zachary Crockett
Oak Ridge National Laboratory
Read the Original
This page is a summary of: Ten simple rules for getting and giving credit for data, PLoS Computational Biology, September 2022, PLOS,
DOI: 10.1371/journal.pcbi.1010476.
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