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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. The final section at the close of this work (Links to Useful Resources) offers links to the types of services referred to throughout the text.
- Subject:
- Applied Science
- Life Science
- Physical Science
- Social Science
- Material Type:
- Reading
- Author:
- Alberto Pepe
- Aleksandra Slavkovic
- Alexander W. Blocker
- Alyssa Goodman
- Aneta Siemiginowska
- Ashish Mahabal
- Christine L. Borgman
- David W. Hogg
- Kyle Cranmer
- Margaret Hedstrom
- Merce Crosas
- Paul Groth
- Rosanne Di Stefano
- Vinay Kashyap
- Yolanda Gil
- Date Added:
- 04/24/2014