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the how and the why of caring about open science Phill Jones, PhD Head of Publisher Outreach Digital Science @digitalsci @phillbjones [email protected]
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the how and the why of caring about open science
Phill Jones, PhDHead of Publisher Outreach
Digital Science
@digitalsci@phillbjones
“The publisher’s new job is to support researchers at every stage of the research cycle” Annette Thomas
Utopia-Thomas Moore1516
Data and as research output
Citable and engaged with
Web of contextual references
Narrative as supplement to data
Open Science ≠ Open Access
A body of work begins with an idea and ends when the impact of that idea has been maximized.
Institutional/funding needs
Research management software, reporting
Personal ImpactAltmetrics, Author profiles
Documentation of findingsPublications, Open data
Doing the ResearchDigital Notebooks, Lab Management Software
Getting an IdeaReference Managers, Social Reading
Barend Mons talking about the ‘European Open Science Cloud’ at APE in January 2016
http://river-valley.zeeba.tv/media/conferences/ape-2016/0101-Barend-Mons/
The internet is transforming research and collaboration
Science is Increasingly International
Source: ‘The Fourth Age of Research’ by Jonathan Adams, Nature 497, 557-560
Source: Nature News, 19th December 2013http://www.nature.com/news/scientists-losing-data-at-a-rapid-rate-1.14416
“Investigators are expected to share with other researchers, at no more than incremental cost and within a reasonable time, the primary data, samples, physical collections and other supporting materials created or gathered in the course of work under NSF grants”
http://www.nsf.gov/pubs/policydocs/pappguide/nsf11001/aag_6.jsp#VID4
“NEH is committed to timely and rapid data distribution”
http://www.neh.gov/files/grants/data_management_plans_2012.pdf
Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner.
http://www.rcuk.ac.uk/research/DataPolicy/
Valen, Dan; Blanchat, Kelly (2015): Overview of OSTP Responses. figshare.https://dx.doi.org/10.6084/m9.figshare.1367165.v7
January 2015 - according to Sherpa Juliet, 34 funders required data archiving, 16 encourage it
UK funder data archiving policies
US Governmental funders mandating data deposits
Everybody needs a place to put their data (and the means to organize it)
Two approaches to data repositories
Structured• Data is curated and standards are enforced• Data is gathered with the aim of creating a
super-data set• Easily machine readable• Examples: Genbank, HEASARC
Unstructured• All data types can be stored• Varying degrees of curation• Institutional, publisher, non-profit and private
offerings• Not necessarily machine readable• Examples: Figshare, Dryad, zenodo, Pure
}Traditional Point of
Contact
Original Idea
Perform Research
Write Article
Submit
Reviews and Revisions
Point of Publication
Maximize Impact
Share Information
Upstream Engagement• Collaborative Authorship• Community Services• Predictive data
Downstream Engagement• COUNTER / usage stats• Altmetrics• Data publishing
Symplectic
From the bench compliance
Data TypeFundrefGRIDORCID
Digital Lab Notebook
Repository Aggregator
Integrated into workflowIntuitive
