An introduction to open science for the Library Journal webcast Case Studies for Open Science on February 9, 2016.
http://lj.libraryjournal.com/2016/01/webcasts/case-studies-for-open-science/
A Critique of the Proposed National Education Policy Reform
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…
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 del editor
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