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10 Simple Rules for the Care and Feeding of Scientific Data
  • Alyssa Goodman, Harvard-Smithsonian Center for Astrophysics
  • Alberto Pepe, Harvard-Smithsonian Center for Astrophysics
  • Alexander W. Blocker, Harvard University
  • Christine L. Borgman, University of California - Los Angeles
  • Kyle Cranmer, New York University
  • Merce Crosas, Harvard University
  • Rosanne Di Stephano, Harvard-Smithsonian Center for Astrophysics
  • Yolanda Gil, University of Southern California
  • Paul Groth, VU University Amsterdam
  • Margaret Hedstrom, University of MIchigan
  • David W. Hogg, New York University
  • Vinay Kashyap, Harvard-Smithsonian Center for Astrophysics
  • Ashish Mahabal, California Institute of Technology
  • Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
  • Aleksandra Slavkovic, Pennsylvania State University - Altoona
Document Type
Research Paper
Publication Date
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.
Citation Information
Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, et al.. "10 Simple Rules for the Care and Feeding of Scientific Data" (2014)
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