Category: Data Management

Understanding researcher needs and values related to software

Software is as important as data when it comes to building upon existing scholarship. However, while there has been a small amount of research into how researchers find, adopt, and credit it, there is a comparative lack of empirical data on how researchers use, share, and value their software. The UC Berkeley Library and the California […]

Dispatches from PIDapalooza

Last month, California Digital Library, ORCID, Crossref, and Datacite brought together the brightest minds in scholarly infrastructure to do the impossible: make a conference on persistent identifiers fun! Usually discussions about persistent identifiers (PIDs) and networked research are dry and hard to get through or we find ourselves discussing the basics and never getting to […]

An RDM Model for Researchers: What we’ve learned

Thanks to everyone who gave feedback on our previous blog post describing our data management tool for researchers. We received a great deal of input related to our guide’s use of the term “data sharing” and our guide’s position in relation to other RDM tools as well as quite a few questions about what our guide […]

Building a user-friendly RDM maturity model

UC3 is developing a guide to help researchers assess and progress the maturity of their data management practices. What are we doing? Researchers are increasingly faced with new expectations and obligations in regards to data management. To help researchers navigate this changing landscape and to complement existing instruments that enable librarians and other data managers […]

Data (Curation) Viz.

Data management and data curation are related concepts, but they do not refer to precisely the same things. I use these terms so often now that sometimes the distinctions, fuzzy as they are, become indistinguishable. When this happens I return to visual abstractions to clarify —in my own mind—what I mean by one vs. the […]

The 10 Things Every New Grad Student Should Do

It’s now mid-October, and I’m guessing that first year graduate students are knee-deep in courses, barely considering their potential thesis project. But for those that can multi-task, I have compiled this list of 10 things that you should undertake in your first year as a grad student. These aren’t just any 10 things… they are 10 […]

DataONE Funded by NSF for Another Round!

This is a week for important funding announcements! I already blogged about our new NSF funding for a Data-Level Metrics project with PLOS and DataONE, and on the heels of that, DataONE has announced their newest round of funding! I’ve borrowed heavily from their press release for this post. If you aren’t familiar with the work DataONE has been doing, […]

Astronomical Data & Astronomical Digital Stewardship: Interview with Elizabeth Griffin

The following is a guest post from Jane Mandelbaum, co-chair of the National Digital Stewardship Alliance Innovation Working group and IT Project Manager at the Library of Congress. As part of our ongoing series of Insights interviews with individuals doing innovative work related to digital preservation and stewardship, we are interested in talking to practitioners from other […]

Teaching Integrity in Empirical Research: An Interview with Richard Ball and Norm Medeiros

This post is the latest in our NDSA Innovation Working Group’s ongoing Insights Interview series. Chelcie Rowell (Digital Initiatives Librarian, Wake Forest University) interviews Richard Ball (Associate Professor of Economics, Haverford College) and Norm Medeiros (Associate Librarian, Haverford Libraries) about Teaching Integrity in Empirical Research, or Project Tier. Chelcie: Can you briefly describe Teaching Integrity […]