Week 10: April 14, 2016

Topic: Open science continued: open data, open resources, open software, open peer review


Part 1: How to choose where to submit your manuscript

Homework from last class:

Come up with a list of two or three possible venues for your paper (actual or eventual); for each, supply (1) justification (why send it here?), (2) list of pros and cons, including some stats; (3) current instructions for authors.


Part 2: Open science – is more than open access journals

Patricia B. Condon, UNH’s Research Data Services Librarian, provided some useful information on open data:

In celebration of International Open Access Week, and following a study on Science as an Open Enterprise, there is a blog post highlighting the guess lecture “Science as an open enterprise – Prof. Geoffrey Boulton”. Boulton’s presentation slides are linked from this page; please check out slide 18, “A taxonomy of openness”

The Open Data Handbook provides a clear overview of open data as a concept (from a very pro-open data stance)

Selective reporting, publication bias, and failure to replicate results are big problems in academia. The Berkeley Initiative for Transparency in the Social Sciences have new awards for transparency: Leamer-Rosenthal Prizes for Open Social Science 


This is an ongoing and two-sided debate. Here are some editorials that discuss data issues (starting with the recent ‘research parasite’ editorial from NEJM):

Dan L. Longo, M.D., and Jeffrey M. Drazen, M.D. (January, 21, 2016). Editorial: Data Sharing, New England Journal of Medicine. http://www.nejm.org/doi/full/10.1056/NEJMe1516564

McNutt. ( March 4, 2016). #IAmAResearchParasite. Science http://science.sciencemag.org/content/351/6277/1005.full

McNutt, et al. (March 4, 2016). Liberating field science samples and data, Science http://science.sciencemag.org/content/351/6277/1024.full?utm_source=sciencemagazine&utm_medium=twitter&utm_campaign=6277policyforum-2750


Lastly, some mechanical considerations:

Goodman A, Pepe A, Blocker AW, Borgman CL, Cranmer K, Crosas M, et al. (2014) Ten Simple Rules for the Care and Feeding of Scientific Data. PLoS Comput Biol 10(4)

More generally here is a guide for How to Cite Datasets and Link to Publications

Given that the future of science relies on communicating scholarship. Here is a set of guiding principles to make data Findable, Accessible, Interoperable, and Re-usable: The FAIR Principles



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