Hilarious stop-motion Lego video about Alice's struggles to retrieve (retired) Bob's data, and how the reBIND project might help.

Federal judge refuses to quash subpoenas seeking research interviews at Boston College, but says academic freedom issues merit consideration.

A comprehensive framework to encourage and facilitate the sharing of biodiversity data has been published in a peer-reviewed journal.

Given various discussions about identifiers, dark taxa, and DNA barcoding that have been swirling around the last few weeks, there's one no...

Lots of useful explication on what makes a good identifier.

Supposedly a MODS profile for research data coming soon.

Amazon's S3 Simple Storage Service has outperformed Microsoft's Windows Azure  …

"Just specifying a standardized data format is not sufficient; one has to accurately reproduce computation. We observe that the precise encapsulation of computing state provided by a virtual machine (VM) may help us solve this problem."

Below is the rough text of my #idcc11 (International Data Curation Conference) talk.  Slides at slideshare, updated now to now include  (very tiny) text in speaker notes on each slide.  [Anyone kno…

If all funders required data sharing, it would be much more difficult to hide research fraud, writes Felicia B. LeClere.

Background The widespread reluctance to share published research data is often hypothesized to be due to the authors' fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically.   Methods and Findings We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance.   Conclusions Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. This highlights the importance of establishing mandatory data archiving policies.

Really excellent how-to and why-to!

The following is a guest post from Trevor Owens, Digital Archivist with the Office of Strategic Initiatives. I’m excited to offer this fourth interview for Insights, an occasional feature sharing interviews and conversations between National Digital Stewardship Alliance Innovation Working Group members and individuals involved with projects related to preservation, access and stewardship of digital […]

TOC and exec summary only.

co-author: Aaron McCollough

CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data.

DNA sequencing is becoming faster and cheaper, outrunning the ability to store, transmit and analyze the data.

With my Dryad hat on I was recently invited to participate in a “Future of Research Dissemination” day at BMJ.  Invitees were asked to give brief introductory remarks on what journals a…