  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.
