Category: requirements

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 […]

UC3, PLOS, and DataONE join forces to build incentives for data sharing

We are excited to announce that UC3, in partnership with PLOS and DataONE, are launching a new project to develop data-level metrics (DLMs). This 12-month project is funded by an Early Concept Grants for Exploratory Research (EAGER) grant from the National Science Foundation, and will result in a suite of metrics that track and measure data use. The […]

UC Open Access: How to Comply

My last two blog posts have been about the new open access policy that applies to the entire University of California system. For big open science nerds like myself, this is exciting progress and deserves much ado. For the on-the-ground researcher at a UC, knee-deep in grants and lecture preparation, the ado could probably be […]

It’s Time for Better Project Metrics

I’m involved in lots of projects, based at many institutions, with multiple funders and oodles of people involved. Each of these projects has requirements for reporting metrics that are used to prove the project is successful. Here, I want to argue that many of these metrics are arbitrary, and in some cases misleading. I’m not […]