We are happy to announce the Alfred P. Sloan Foundation has funded our project to improve the user interface and functionality of our Dash tool! You can read the full grant text at http://escholarship.org/uc/item/2mw6v93b. More about Dash Dash is a University of California project to create a platform that allows researchers to easily describe, deposit and […]
Category: archiving
Feedback Wanted: Publishers & Data Access
This post is co-authored with Jennifer Lin, PLOS Short Version: We need your help! We have generated a set of recommendations for publishers to help increase access to data in partnership with libraries, funders, information technologists, and other stakeholders. Please read and comment on the report (Google Doc), and help us to identify concrete action items for each of the recommendations […]
Finding Disciplinary Data Repositories with DataBib and re3data
This post is by Natsuko Nicholls and John Kratz. Natsuko is a CLIR/DLF Postdoctoral Fellow in Data Curation for the Sciences and Social Sciences at the University of Michigan. The problem: finding a repository Everyone tells researchers not to abandon their data on a departmental server, hard drive, USB stick , CD-ROM, stack of Zip disks, […]
Institutional Repositories: Part 2
A few weeks back I wrote a post describing institutional repositories (IRs for short). IRs have been around for a while, with the impetus of making scholarly publications open access. However more recently, IRs have been cited as potential repositories for datasets, code, and other scholarly outputs. Here I continue the discussion of IRs and compare […]
Institutional Repositories: Part 1
If you aren’t a member of the library and archiving world, you probably aren’t aware of the phrase institutional repository (IR for short). I certainly wasn’t aware of IRs prior to joining the CDL, and I’m guessing most researchers are similarly ignorant. In the next two blog posts, I plan to first explain IRs, then lay out […]
The five stages to data sharing: Acceptance
Applying the Kübler-Ross model[1] to researchers and data sharing, based on various attitudes and comments we have encountered over the years. Don’t take the presentation seriously, but take the content seriously. Part five in a series of…uh, five. 5. Acceptance … Continue reading →
Large Facilities & the Data they Produce
Last week I spent three days in the desert, south of Albuquerque, at the NSF Large Facilities Workshop. What are these “large facilities”, you ask? I did too… this was a new world for me, but the workshop ended up being a great learning experience. The NSF has a Large Facilities Office within the Office of […]
Data Management Education: Part 2
Last week on Data Pub, I provided the impetus for my latest publication with co-author Stephanie Hampton in Ecosphere about data management education (available on the Ecosphere site). The manuscript is the result of my postdoctoral work with theDataONE organization. The question that spawned the research? Whatever happened to the lab notebook? This query resulted in a survey of whether […]