In discussing the different types of research objects that may be considered, Bechhofer came up as someone to look into.
Bechhofer, Sean, De Roure, David, Gamble, Matthew, Goble, Carole and Buchan, Iain (2010) Research Objects: Towards Exchange and Reuse of Digital Knowledge. In, The Future of the Web for Collaborative Science (FWCS 2010), Raleigh, NC, USA, (Submitted) [link]
And publishers’ response, and JISC response to them.
This is another conversation happening about libraries and the academy.
“Results. We estimate that in 2006 the total number of articles published was approximately 1,350,000. Of this number 4.6% became immediately openly available and an additional 3.5% after an embargo period of, typically, one year. Furthermore, usable copies of 11.3% could be found in subject-specific or institutional repositories or on the home pages of the authors.”
Also, Björk’s google scholar page.
My talk at UKSG where I talk about how I actually solved a series of research information problems: http://river-valley.tv/the-transformation-is-already-here-%E2%80%93-its-just-unevenly-distributed/
Lots of discussion of personal experience but this is necessarily biased. There is a lot of research on how readers actually take in literature, how long they are reading for, and what their purpose has also been, in large part by Carol.
Tenopir, C, Allard S, Douglass K, Aydinoglu A U, Wu L, Manoff M, Read E, Frame M. 2011. Data Sharing by Scientists: Practices and Perceptions. Public Library of Science (PLoS) ONE. 6(6)
Tenopir, C, Allard S, Bates B, Levine KJ, King DW, Birch B, Mays R, Caldwell C. 2011. Perceived Value of Scholarly Articles. Learned Publishing. 24:123-132.
Tenopir, C, Mays R, Wu L. 2011. Journal Article Growth and Reading Patterns. New Review of Information Networking. 16(1):4-22.
Tenopir, C, Wilson CS, Vakkari P, Talja S, King DW. 2010. Cross country comparison of scholarly e-reading patterns in Australia, Finland and the United States. Australian Academic & Research Libraries (AARL). 41(1):26-41
Interesting recent article (see Drop box) in PloS One indicates that peer reviewing is better when authors and reviewers cooperate:
Leak et al 2012 PloS One
What are the main tools and computational frameworks used in the Ecological sciences. I have an interest in building “executable papers” and have been looking at iPython Notebook as a toolset that might enable us to do this quickly. Is Python widely used? Are workflow tools useful in this space?