2014/01/09 by Alyssa Goodman, Alberto Pepe, Alexander W. Blocker +12 · 1 voice
Computer Science · Physics and Astronomy · #astro-ph.IM #cs.CY #cs.DL
paper · pdf · doi:10.1371/journal.pcbi.1003542
Accepted in PLOS Computational Biology. This paper was written collaboratively, on the web, in the open, using Authorea. The living version of this article, which includes sources and history, is available at http://www.authorea.com/3410/
arxiv created 2014/01/09 · arxiv updated 2015/06/18
This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have been written on questions of data sharing, data provenance, research reproducibility, licensing, attribution, privacy, and more, but our goal here is not to review that literature. Instead, we present a short guide intended for researchers who want to know why it is important to "care for and feed" data, with some practical advice on how to do that.