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.
Description
[1401.2134] 10 Simple Rules for the Care and Feeding of Scientific Data
cite arxiv:1401.2134Comment: 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/
%0 Generic
%1 goodman2014simple
%A Goodman, Alyssa
%A Pepe, Alberto
%A Blocker, Alexander W.
%A Borgman, Christine L.
%A Cranmer, Kyle
%A Crosas, Mercè
%A Di Stefano, Rosanne
%A Gil, Yolanda
%A Groth, Paul
%A Hedstrom, Margaret
%A Hogg, David W.
%A Kashyap, Vinay
%A Mahabal, Ashish
%A Siemiginowska, Aneta
%A Slavkovic, Aleksandra
%D 2014
%K forschungsdaten repository software
%R 10.1371/journal.pcbi.1003542
%T 10 Simple Rules for the Care and Feeding of Scientific Data
%U http://arxiv.org/abs/1401.2134
%X 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.
@misc{goodman2014simple,
abstract = {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.},
added-at = {2018-04-26T15:12:55.000+0200},
author = {Goodman, Alyssa and Pepe, Alberto and Blocker, Alexander W. and Borgman, Christine L. and Cranmer, Kyle and Crosas, Mercè and Di Stefano, Rosanne and Gil, Yolanda and Groth, Paul and Hedstrom, Margaret and Hogg, David W. and Kashyap, Vinay and Mahabal, Ashish and Siemiginowska, Aneta and Slavkovic, Aleksandra},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28d6e59acee125c2f360c152d79b54391/diglezakis},
description = {[1401.2134] 10 Simple Rules for the Care and Feeding of Scientific Data},
doi = {10.1371/journal.pcbi.1003542},
interhash = {331162d676f0a44e801f44e010aaaa3f},
intrahash = {8d6e59acee125c2f360c152d79b54391},
keywords = {forschungsdaten repository software},
note = {cite arxiv:1401.2134Comment: 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/},
timestamp = {2018-04-26T13:12:55.000+0200},
title = {10 Simple Rules for the Care and Feeding of Scientific Data},
url = {http://arxiv.org/abs/1401.2134},
year = 2014
}