Thursday, 29 May 2014

Research Trends Special Issue on altmetrics

From the editorial:

"This special issue of Research Trends is dedicated to altmetrics, or, as some may prefer, alternative metrics. The growing interest in the development of alternative measurements of scientific productivity resulted in the 2010 Altmetrics manifesto in which the term “altmetrics” was introduced... We believe the contributions in this Special Issue cover the major trends in the development of new metrics, and are written by leading researchers in the field."

Scientific Data launches its first batch of "data descriptors"

Scientific Data, the latest offering from the Nature Publishing Group, was launched earlier this week: http://www.nature.com/sdata/. I'm particularly pleased to see the dedicated Data Citations section; of course, there are multiple ways to present data citations (within References, within Acknowledgements), but this method brings visibility to this practice.
The featured dataset is coordinated by Australian researchers (Uni of Tasmania, Institute for Marine and Antarctic Studies.

Wednesday, 21 May 2014

Sunday, 18 May 2014

New video shows how to cite data from UK Data Service


Data are a vital part of the scientific research process. By properly citing data in research publications, it not only acknowledges sources, it also makes it easier for others to find and use the data. Citation is also expected practice for those who receive funding from the Economic and Social Research Council (ESRC), and becoming best practice across the social sciences.
Now a new video tutorial shows data users how to retrieve citation information directly from UK Data Service resources. This step-by-step guide covers all data available through the Discover data catalogue, including UK Census data (whether downloaded or used online) and data from international databanks such as the World Bank or International Monetary Fund.
The video tutorial complements our website guidance on Citing data and the ESRC brochure Data Citation: What you need to know. All are available at the links below.

Global-level data sets may be more highly cited than most journal articles.

 Chris Belter measured the impact of a few openly accessible data sets and compared to journal articles in his field. His results provide hard evidence that the production, archival, and sharing of data may actually be a more effective way to contribute to the advancement of scientific knowledge.

Blog 

Thursday, 15 May 2014

Supporting Scientific Discovery through Norms and Practices for Software and Data Citation and Attribution

Dear Colleague Letter - Supporting Scientific Discovery through Norms and Practices for Software and Data Citation and Attribution
This is interesting - NSF fundining research into data citation and impact metrics. This is a particularly interesting angle that they suggest research into:

"
  • Citation patterns that include a role for citations (e.g. to value activities such as “data provider/curator” and/or “software tool provider” alongside “data analyzer” or “computational modeler”), which can help create a credit market for data and software sharing "
 Thanks Natasha Simons for passing this on.

Peer review of datasets

Mayernik MS, Callaghan S, Leigh R, Tedds J, Worley S. 2014. Peer Review of Datasets: When, Why, and How. Bulletin of the American Meteorological Society.
http://dx.doi.org/10.1175/BAMS-D-13-00083.1

This one from the Data Publication JISCmail list

Wednesday, 14 May 2014

More on the data citation joint declaration principles

 
Thanks to Natasha for sharing this recent presentation by Joan Starr on the data citation joint declaration principles.  Well worth a look.


http://www.slideshare.net/joanstarr/data-citation-a-joint-declaration-of-principles

DOIs for GitHub repositories

https://github.com/blog/1840-improving-github-for-science

Citable code for academic software

"Sharing your work is good, but collaborating while also getting required academic credit is even better. Over the past couple of months we've been working with the Mozilla Science Lab and data archivers, Figshare and Zenodo, to make it possible to get a Digital Object Identifier (DOI) for any GitHub repository."

Sunday, 11 May 2014

Data Citation post on Data Pub

Data Citation post on California Digital Library's Data Pub blog

Hat tip to Sue Cook for this one:  a great resource on data citation basics with references and inclusion of dynamic data citation and "deep" citation (citing part of a dataset)


Tuesday, 6 May 2014

Data publication consensus and controversies

From JISC's DATA PUBLICATION email list, this article, complete with available referees comments:
Kratz J and Strasser C (2014) Data publication consensus and controversies [v1; ref status: approved with reservations 1, http://f1000r.es/3ag] F1000Research 2014, 3:94 (doi: 10.12688/f1000research.4264
http://f1000research.com/articles/3-94/v1#article-reports

This provides excellent coverage of the current state of data publication; and yay! data citation is fairly advanced, with consensus