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Open Science: Past,
Present and Future
Andrea Miller-Nesbitt
Life Sciences Library
andrea.miller-nesbitt@mcgill.ca
Outline

• What is Open Science?
• How did we get here?
• How is Open Science currently being practiced?
• How can we participate as librarians?
• What is in store for the future?
Open Science

  “Open science is the idea that
  scientific knowledge of all kinds
  should be openly shared as early as
  is practical in the discovery process”
  -Michael Nielson




http://www.openscience.org/blog/?p=454
The Past: How did we get here?

• Thousands of years ago
  • Empirical science – describing natural phenomena


• Last few hundred years
  • Theoretical science – using models and generalizations to explain
    phenomena


• Last few decades
  • Computational science – using digital technology to simulate
    phenomena
The Fourth Paradigm

  • Data intensive scientific discovery
        • Unifying theory, experiment and simulation
        • Data exploration




http://research.microsoft.com/en-us/collaboration/fourthparadigm/
Growth of GenBank (1982-2008)




http://www.ncbi.nlm.nih.gov/genbank/genbankstats-2008/
HGP and the Bermuda Agreement

    1)        Primary genomic sequences should be
              in the public domain
    2)        Primary genomic sequence should be
              rapidly released




http://1.bp.blogspot.com/_srYW_dzrwIc/TI2ReCat2sI/AAAAAAAAAGM/qg71oPhRtlw/s1600/DSCF1005.JPG
The Present: Open Science at Work




http://www.galaxyzoo.org/
http://www.ncbi.nlm.nih.gov/
http://fold.it/portal/
http://www.mygrid.org.uk/
http://polymathprojects.org/
http://onschallenge.wikispaces.com/
Current Challenges

  •    Legislation and policy
        •   International, federal, provincial, institutional
        •   Intellectual property rights issues


  •    Infrastructure
        •   Data deluge
        •   Economic sustainability
        •   Interoperability


  •    Training and support
        •   Standardized training for researchers and information professionals


  •    Scientific culture
        •   Publish or perish
        •   Fear of misinterpretation




http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/about/backgrounder.html
Solutions




http://datacite.org/
http://total-impact.org/
http://www.nih.gov/
http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/
http://www.researchgate.net/
http://www.oecd.org
Canadian Context

• Canadian Institutes of Health Research
   • Must deposit certain data types upon publication
   • Must keep all data for a minimum of five years


• Natural Sciences and Engineering Research Council
   • Strategic Network Grants Guidelines
   • Encourages researchers to share data within a reasonable period of
     time


• Social Sciences and Humanities Research Council
   • SSHRC Research Data Archiving Policy
   • Must deposit data within two years within two years of project
     completion
Role of the librarian
                            data management

                                   plan


  Help users
                integrate                          collect
  access data

                                Data
                             lifecycle
                                                               Identify and
                analyze                        describe      apply appropriate
                                                                 metadata


                                 preserve

                            Identify appropriate
                                 repository
Role of the librarian

                                                      • Planning and data
                                                        management
                                                      • Metadata and archiving
                                                        support
                                                      • Finding and using
                                                        relevant infrastructure
                                                      • Building and managing
                                                        institutional policies
                                                        and repositories
                                                      • Support and training

http://www.flickr.com/photos/litandmore/2284209815/
The Future…




http://www.bighappyfunhouse.com/archives/cellular11.jpg
Selected Sources

Allard, S. (2012). DataONE: Facilitation eScience through collaboration. Journal of eScience Librarianship, 1(1), 4-17.

Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs. Libraries and
              the academy, 11(2), 629-657.

Hey, A. J. G., Tansley, S., & Tolle, K. M. (Eds.). (2009). The fourth paradigm : data-intensive scientific discovery.
              Redmond, Wash.: Microsoft Research.

Martin, E., Leger-Hornby, T., & Kafel, D. (2012). Frameworks for data management curriculum: Course
              plans for data            management instruction to undergraduate and graduate students in science,
              health sciences and       engineering programs. Retrieved from
http://library.umassmed.edu/data_management_frameworks.pdf

National Research Council of Canada. (2012, January 30, 2012). Research Data Strategy Retrieved April 16, 2012, from
            http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/index.html

Nielsen, M. A. (2012). Reinventing discovery : the new era of networked science. Princeton, N.J.: Princeton University
             Press.

Ouellette, F. (2011). Data sharing: bioinformatics of cancer genomics. The 2011 Canadian Research Data Summit. Power
              Point Presentation. Retrieved from
              http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/events/data_summit_2011/presentations.html

Shearer, K. (2011). Comprehensive brief on open access to publications and research data for the federal granting
             agencies. Retrieved from
             http://www.science.gc.ca/default.asp?lang=en&n=2360F10C-1

Soehner, C., Steeves, C., & Ward, J. (2010). E-Science and data support services: A study of ARL member institutions.
             Report. Retrieved from www.arl.org/bm~doc/escience-report.pdf
Questions?

           Andrea Miller-Nesbitt
       andrea.miller-nesbitt@mcgill.ca
               (514) 398-1663


• What are the implications of data-
  intensive science on library collections?
• Will we see large groups of non-scientists
  co-authoring papers?
Suggested Resources for Librarians
Resource                  Content                                      Link

eSciences portal for        Provides useful links to overviews of      http://esciencelibrary.umassmed.edu
New England librarians      eScience, data management support,         /index
                            science basics for non-scientists, etc.
Open Science list serve     Relatively low-volume list for the open    http://lists.okfn.org/mailman/listinf
                            science community                          o/open-science
Journal of eScience         Open access, peer-reviewed journal         http://escholarship.umassmed.edu/j
librarianship               which began in 2012                        eslib/

Data information            Information about a data information       http://wiki.lib.purdue.edu/display/st
literacy                    literacy program being developed by a      e/home
                            number of academic libraries in the
                            U.S.A.
The Fourth Paradigm         A continuation of the published book       http://blogs.nature.com/fourthparad
blog                        The Fourth Paradigm                        igm/

Inter-university            Provides training in data access,          http://www.icpsr.umich.edu/icpsrwe
consortium for              curation and analysis for social science   b/ICPSR/index.jsp
political and social        research community
research
ARL eScience survey         Various links for institutions planning    http://www.arl.org/rtl/eresearch/es
resource page               to support eScience                        cien/esciensurvey/surveyresearch.sh
                                                                       tml

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Open Science

  • 1. Open Science: Past, Present and Future Andrea Miller-Nesbitt Life Sciences Library andrea.miller-nesbitt@mcgill.ca
  • 2. Outline • What is Open Science? • How did we get here? • How is Open Science currently being practiced? • How can we participate as librarians? • What is in store for the future?
  • 3. Open Science “Open science is the idea that scientific knowledge of all kinds should be openly shared as early as is practical in the discovery process” -Michael Nielson http://www.openscience.org/blog/?p=454
  • 4. The Past: How did we get here? • Thousands of years ago • Empirical science – describing natural phenomena • Last few hundred years • Theoretical science – using models and generalizations to explain phenomena • Last few decades • Computational science – using digital technology to simulate phenomena
  • 5. The Fourth Paradigm • Data intensive scientific discovery • Unifying theory, experiment and simulation • Data exploration http://research.microsoft.com/en-us/collaboration/fourthparadigm/
  • 6. Growth of GenBank (1982-2008) http://www.ncbi.nlm.nih.gov/genbank/genbankstats-2008/
  • 7. HGP and the Bermuda Agreement 1) Primary genomic sequences should be in the public domain 2) Primary genomic sequence should be rapidly released http://1.bp.blogspot.com/_srYW_dzrwIc/TI2ReCat2sI/AAAAAAAAAGM/qg71oPhRtlw/s1600/DSCF1005.JPG
  • 8. The Present: Open Science at Work http://www.galaxyzoo.org/ http://www.ncbi.nlm.nih.gov/ http://fold.it/portal/ http://www.mygrid.org.uk/ http://polymathprojects.org/ http://onschallenge.wikispaces.com/
  • 9. Current Challenges • Legislation and policy • International, federal, provincial, institutional • Intellectual property rights issues • Infrastructure • Data deluge • Economic sustainability • Interoperability • Training and support • Standardized training for researchers and information professionals • Scientific culture • Publish or perish • Fear of misinterpretation http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/about/backgrounder.html
  • 11. Canadian Context • Canadian Institutes of Health Research • Must deposit certain data types upon publication • Must keep all data for a minimum of five years • Natural Sciences and Engineering Research Council • Strategic Network Grants Guidelines • Encourages researchers to share data within a reasonable period of time • Social Sciences and Humanities Research Council • SSHRC Research Data Archiving Policy • Must deposit data within two years within two years of project completion
  • 12. Role of the librarian data management plan Help users integrate collect access data Data lifecycle Identify and analyze describe apply appropriate metadata preserve Identify appropriate repository
  • 13. Role of the librarian • Planning and data management • Metadata and archiving support • Finding and using relevant infrastructure • Building and managing institutional policies and repositories • Support and training http://www.flickr.com/photos/litandmore/2284209815/
  • 15. Selected Sources Allard, S. (2012). DataONE: Facilitation eScience through collaboration. Journal of eScience Librarianship, 1(1), 4-17. Carlson, J., Fosmire, M., Miller, C. C., & Nelson, M. S. (2011). Determining data information literacy needs. Libraries and the academy, 11(2), 629-657. Hey, A. J. G., Tansley, S., & Tolle, K. M. (Eds.). (2009). The fourth paradigm : data-intensive scientific discovery. Redmond, Wash.: Microsoft Research. Martin, E., Leger-Hornby, T., & Kafel, D. (2012). Frameworks for data management curriculum: Course plans for data management instruction to undergraduate and graduate students in science, health sciences and engineering programs. Retrieved from http://library.umassmed.edu/data_management_frameworks.pdf National Research Council of Canada. (2012, January 30, 2012). Research Data Strategy Retrieved April 16, 2012, from http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/index.html Nielsen, M. A. (2012). Reinventing discovery : the new era of networked science. Princeton, N.J.: Princeton University Press. Ouellette, F. (2011). Data sharing: bioinformatics of cancer genomics. The 2011 Canadian Research Data Summit. Power Point Presentation. Retrieved from http://rds-sdr.cisti-icist.nrc-cnrc.gc.ca/eng/events/data_summit_2011/presentations.html Shearer, K. (2011). Comprehensive brief on open access to publications and research data for the federal granting agencies. Retrieved from http://www.science.gc.ca/default.asp?lang=en&n=2360F10C-1 Soehner, C., Steeves, C., & Ward, J. (2010). E-Science and data support services: A study of ARL member institutions. Report. Retrieved from www.arl.org/bm~doc/escience-report.pdf
  • 16. Questions? Andrea Miller-Nesbitt andrea.miller-nesbitt@mcgill.ca (514) 398-1663 • What are the implications of data- intensive science on library collections? • Will we see large groups of non-scientists co-authoring papers?
  • 17. Suggested Resources for Librarians Resource Content Link eSciences portal for Provides useful links to overviews of http://esciencelibrary.umassmed.edu New England librarians eScience, data management support, /index science basics for non-scientists, etc. Open Science list serve Relatively low-volume list for the open http://lists.okfn.org/mailman/listinf science community o/open-science Journal of eScience Open access, peer-reviewed journal http://escholarship.umassmed.edu/j librarianship which began in 2012 eslib/ Data information Information about a data information http://wiki.lib.purdue.edu/display/st literacy literacy program being developed by a e/home number of academic libraries in the U.S.A. The Fourth Paradigm A continuation of the published book http://blogs.nature.com/fourthparad blog The Fourth Paradigm igm/ Inter-university Provides training in data access, http://www.icpsr.umich.edu/icpsrwe consortium for curation and analysis for social science b/ICPSR/index.jsp political and social research community research ARL eScience survey Various links for institutions planning http://www.arl.org/rtl/eresearch/es resource page to support eScience cien/esciensurvey/surveyresearch.sh tml