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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
p.jones@digital-science.com
“The publisher’s new job is to support researchers at
every stage of the research cycle” Annette Thomas
Utopia
-Thomas Moore
1516
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 Impact
Altmetrics, Author profiles
Documentation of findings
Publications, Open data
Doing the Research
Digital Notebooks, Lab Management Software
Getting an Idea
Reference 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
Source: Nature News, 19th December 2013
http://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 Type
Fundref
GRID
ORCID
Integrated into workflow
Intuitive
Thanks.
Any
questions?
@phillbjones
p.jones@digital-science.com

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Biodiversity—A Healthy Ecosystem Thrives on Fresh Ideas (Part 1 of 3), Phil Jones

  • 1. the how and the why of caring about open science Phill Jones, PhD Head of Publisher Outreach Digital Science @digitalsci @phillbjones p.jones@digital-science.com
  • 2. “The publisher’s new job is to support researchers at every stage of the research cycle” Annette Thomas
  • 4. Data and as research output Citable and engaged with Web of contextual references Narrative as supplement to data
  • 5. 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 Impact Altmetrics, Author profiles Documentation of findings Publications, Open data Doing the Research Digital Notebooks, Lab Management Software Getting an Idea Reference Managers, Social Reading
  • 6. 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/
  • 7.
  • 8.
  • 9. The internet is transforming research and collaboration
  • 10.
  • 11. Science is Increasingly International Source: ‘The Fourth Age of Research’ by Jonathan Adams, Nature 497, 557
  • 12. Source: Nature News, 19th December 2013 http://www.nature.com/news/scientists-losing-data-at-a-rapid-rate-1.14416
  • 13. “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/
  • 14. 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)
  • 15. 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
  • 16. 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
  • 17. From the bench compliance Data Type Fundref GRID ORCID Integrated into workflow Intuitive

Hinweis der Redaktion

  1. Our system of scholarly communication is called publishing It was created in the 17th century If we designed it from scratch today what would it look like
  2. Open science is how researchers can get credit for their work by ‘publishing’ their specific contributions. At every stage of the process, outputs can be published to the web and given a DOI, giving researchers more ways to define their impact and get promotions/jobs.
  3. As a result, science has changed in scale. What used to be a cottage industry of a series of principle investigators managing small labs in isolation is changing into a global network of researchers contributing in various ways. For those of you involved in shaping policy, for example for grant programs or research assessment, I would urge you to consider how funders should modernize to accommodate this shift.
  4. Here’s some hard evidence for that trend. The graphs here were put together by our consulting division at Digital Science. They show the total output of research articles in both the UK and the US, as well as the number that only have authors from that one country. As you can see, the proportion of domestic only papers is falling.
  5. Funders pass mandates onto researchers, but provide no mechanism. Researchers ask their librarians thereby creating an institutional market
  6. As of January 2015, according to Sherpa Juliet, 34 funders globally required data archiving, 16 encourage it.