(13 Feb 2020) Understanding researchers’ behaviors and needs when it comes to data sharing and reuse is challenging. Each discipline has unique norms and practices for how they collect and manage data, when (and if) they share their data, and how they determine a dataset’s fitness for reuse. Data curators—as information science practitioners—make a wealth of decisions and take well-informed actions to ensure that selected data have meaningful and enduring value to future research.
It is nearly impossible, though, for any institution to hire curators skilled in all the format types and disciplinary backgrounds needed to properly ensure that data are complete and well-structured for reuse. Which is why the Data Curation Network (DCN) team set out to create a cross-institutional network that would enable researchers to share their data in ethical and reusable ways, regardless of their final repository destination.
Next has the full story here.
