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Case Studies for
Open Science
Robin Champieux – Scholarly Communication Librarian, Oregon
Health & Science University
Heather Coates – Digital Scholarship & Data Management Librarian,
Indiana University Purdue University – Indianapolis (IUPUI)
Elements of open science
Making each phase of
the research life cycle
more open
• Open notebooks
• Open data
• Open research software
• Open access
Each element of the
research process should
• Be publicly available
• Be reusable
• Induce collaboration
• Be transparent and
have appropriate
metadata
Source: UKeiG White Paper: Open Science, Open Data, Open Access…
Source: UKeiG White Paper: Open Science, Open Data, Open Access…
Ensuring the integrity of the scholarly record
• Open Access
• IR for pre- and post-prints, conference presentations, posters, all manner
of grey literature
• Supporting OA journals
• Pre- & post-pub peer review
• Reduce time-to-publication
• Open Data
• Open data standards & guidelines
• Data publishing – journals & repositories
• Data discovery, citation, & impact
• Open Reproducible Research
• Study registration
• Cite code & software
• Publish negative/neutral results
• Using open file formats
• Long-term preservation
Ensuring the integrity of the scholarly record
• Open Science Evaluation
• Metrics for all products
• Open metrics (citation, ALM, altmetrics, webometrics)
• Open peer review
• Open Science Policies
• Retraction & correction
• Licensing for reuse
• Funder, publisher, institutional policies
• Open Science Tools
• IR & data repositories
• Unique identifiers (e.g., ORCID, DOI, FundRef, etc.)
• Open licenses for IP, data, code, etc.
Openness throughout the research process
• Open notebooks
• Open scientific workflows & data provenance
• Open source
• Data sharing/open data
• Use of standards
• Cataloged for discovery
• Machine-readable
• Open file formats
• Reproducibility guidelines
• Reproducibility & irreproducibility (meta)research
• Open peer review
• Open research evaluation data and guidelines
Expanding the scholarly record
• Funding proposals
• Data management plans
• Study registration
• Conference presentations, posters, panels, etc.
• Blog posts, social media conversations
• Formal and informal pre- and post-publication review
• Connecting scholarly products through unique identifiers
• Create a more complete scholarly record
The potential of open science
• Data reuse & the open data citation advantage
• Open Source Malaria
• Alzheimer’s drug discovery Big Data portal
• Galaxy Zoo
• Foldit
• Open data as open educational resources (pre-print)
Open librarianship/LIS
Why?
• Role as practitioners-scholars
• Values align with missions of open science
• Demonstrate the change we want to see from other disciplines
• Provide practical experience and use cases
How?
• Conduct “how open is it?” analysis of our own literature
• Open up our circulation, collection, reference, instructional, &
other data for use as OER by LIS students
• License our data for reuse
• Build our own tools & systems to aggregate and use our data, to
improve practice through data-driven research
References
1. Tennant, J. & Mounce, R. (2015). Open Research Glossary. figshare. doi:
10.6084/m9.figshare.1482094.v1.
2. UK eInformation Group of CILIP. (2015). Open Science, Open Data, Open
Access…A UKeiG White Paper. Retrieved from
http://www.cilip.org.uk/sites/default/files/documents/open_access_white_p
aper_final.pdf
3. OECD (2015), “Making Open Science a Reality”, OECD Science, Technology
and Industry Policy Papers, No. 25, OECD Publishing, Paris. doi:
10.1787/5jrs2f963zs1-en
4. Brosh, A. (2010). This is why I’ll never be an adult [Web log post]. Retrieved
from http://hyperboleandahalf.blogspot.com/2010/06/this-is-why-ill-never-
be-adult.html.
Resources to learn more
• Open Research Glossary
• https://figshare.com/articles/Open_Research_Glossary/1482094
• Why Open Research?
• http://whyopenresearch.org/
• McKiernan et al, The open research value proposition (white paper)
• https://docs.google.com/document/d/1UFvxOGSvOE347cW0_NCcYemybm
1EOh5tXlXADZ3w2Hs/edit
• FOSTER EU Toolkit for Training Sessions
• https://www.fosteropenscience.eu/project/images/documents/D4.2Toolkit
fortraining.pdf

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Case studies for open science

  • 1. Case Studies for Open Science Robin Champieux – Scholarly Communication Librarian, Oregon Health & Science University Heather Coates – Digital Scholarship & Data Management Librarian, Indiana University Purdue University – Indianapolis (IUPUI)
  • 2.
  • 3.
  • 4.
  • 5. Elements of open science Making each phase of the research life cycle more open • Open notebooks • Open data • Open research software • Open access Each element of the research process should • Be publicly available • Be reusable • Induce collaboration • Be transparent and have appropriate metadata Source: UKeiG White Paper: Open Science, Open Data, Open Access…
  • 6. Source: UKeiG White Paper: Open Science, Open Data, Open Access…
  • 7. Ensuring the integrity of the scholarly record • Open Access • IR for pre- and post-prints, conference presentations, posters, all manner of grey literature • Supporting OA journals • Pre- & post-pub peer review • Reduce time-to-publication • Open Data • Open data standards & guidelines • Data publishing – journals & repositories • Data discovery, citation, & impact • Open Reproducible Research • Study registration • Cite code & software • Publish negative/neutral results • Using open file formats • Long-term preservation
  • 8. Ensuring the integrity of the scholarly record • Open Science Evaluation • Metrics for all products • Open metrics (citation, ALM, altmetrics, webometrics) • Open peer review • Open Science Policies • Retraction & correction • Licensing for reuse • Funder, publisher, institutional policies • Open Science Tools • IR & data repositories • Unique identifiers (e.g., ORCID, DOI, FundRef, etc.) • Open licenses for IP, data, code, etc.
  • 9. Openness throughout the research process • Open notebooks • Open scientific workflows & data provenance • Open source • Data sharing/open data • Use of standards • Cataloged for discovery • Machine-readable • Open file formats • Reproducibility guidelines • Reproducibility & irreproducibility (meta)research • Open peer review • Open research evaluation data and guidelines
  • 10. Expanding the scholarly record • Funding proposals • Data management plans • Study registration • Conference presentations, posters, panels, etc. • Blog posts, social media conversations • Formal and informal pre- and post-publication review • Connecting scholarly products through unique identifiers • Create a more complete scholarly record
  • 11. The potential of open science • Data reuse & the open data citation advantage • Open Source Malaria • Alzheimer’s drug discovery Big Data portal • Galaxy Zoo • Foldit • Open data as open educational resources (pre-print)
  • 12. Open librarianship/LIS Why? • Role as practitioners-scholars • Values align with missions of open science • Demonstrate the change we want to see from other disciplines • Provide practical experience and use cases How? • Conduct “how open is it?” analysis of our own literature • Open up our circulation, collection, reference, instructional, & other data for use as OER by LIS students • License our data for reuse • Build our own tools & systems to aggregate and use our data, to improve practice through data-driven research
  • 13.
  • 14. References 1. Tennant, J. & Mounce, R. (2015). Open Research Glossary. figshare. doi: 10.6084/m9.figshare.1482094.v1. 2. UK eInformation Group of CILIP. (2015). Open Science, Open Data, Open Access…A UKeiG White Paper. Retrieved from http://www.cilip.org.uk/sites/default/files/documents/open_access_white_p aper_final.pdf 3. OECD (2015), “Making Open Science a Reality”, OECD Science, Technology and Industry Policy Papers, No. 25, OECD Publishing, Paris. doi: 10.1787/5jrs2f963zs1-en 4. Brosh, A. (2010). This is why I’ll never be an adult [Web log post]. Retrieved from http://hyperboleandahalf.blogspot.com/2010/06/this-is-why-ill-never- be-adult.html.
  • 15. Resources to learn more • Open Research Glossary • https://figshare.com/articles/Open_Research_Glossary/1482094 • Why Open Research? • http://whyopenresearch.org/ • McKiernan et al, The open research value proposition (white paper) • https://docs.google.com/document/d/1UFvxOGSvOE347cW0_NCcYemybm 1EOh5tXlXADZ3w2Hs/edit • FOSTER EU Toolkit for Training Sessions • https://www.fosteropenscience.eu/project/images/documents/D4.2Toolkit fortraining.pdf

Notas do Editor

  1. The scholarly ecosystem is complex with lots of unknowns in the system; we don’t have a clear understanding of how the system works We are starting to see interesting meta-research – research about research – that is beginning to fill in some of these gaps Open science is a big idea Hand-drawn mind map of open science on top of scholarly ecosystem
  2. What is open science?