Difference between revisions of "Journal:Ten simple rules for cultivating open science and collaborative R&D"

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Collaborative R&D approaches vary in openness.<ref name="PLOSHowOpen13">{{cite web |url=https://www.plos.org/how-open-is-it |archiveurl=http://web.archive.org/web/20130301193758/http://www.plos.org/about/open-access/howopenisit/ |title=HowOpenIsIt? |publisher=Public Library of Science |date=2013 |archivedate=01 March 2013 |accessdate=25 April 2013}}</ref> In some approaches, the R&D process and outputs are open to all — for example, open-science projects like the Gene Wiki described above. In other approaches which demonstrate what might be called controlled collaboration, there are strong controls on who contributes and benefits — for example, computational platforms like Collaborative Drug Discovery or InnoCentive that support both commercial and nonprofit research.<ref name="EkinsCollab11" /><ref name="BinghamTheOpen11" />
Collaborative R&D approaches vary in openness.<ref name="PLOSHowOpen13">{{cite web |url=https://www.plos.org/how-open-is-it |archiveurl=http://web.archive.org/web/20130301193758/http://www.plos.org/about/open-access/howopenisit/ |title=HowOpenIsIt? |publisher=Public Library of Science |date=2013 |archivedate=01 March 2013 |accessdate=25 April 2013}}</ref> In some approaches, the R&D process and outputs are open to all — for example, open-science projects like the Gene Wiki described above. In other approaches which demonstrate what might be called controlled collaboration, there are strong controls on who contributes and benefits — for example, computational platforms like Collaborative Drug Discovery or InnoCentive that support both commercial and nonprofit research.<ref name="EkinsCollab11" /><ref name="BinghamTheOpen11" />


Collaborative approaches can unleash innovation from unforeseen sources, as with crowdsourcing health technologies [11]–[13], [16]. They may help in global challenges like drug development [17], as with India's OSDD (Open Source Drug Discovery) project that recruited over 7,000 volunteers [16] and an open-source drug synthesis project that improved an existing drug without increasing its cost [18].
Collaborative approaches can unleash innovation from unforeseen sources, as with crowdsourcing health technologies.<ref name="BinghamTheOpen11" /><ref name="WilsonPrizes11Arch" /><ref name="GoodGames11" /><ref name="VashishtCrowd12">{{cite journal |title=Crowd sourcing a new paradigm for interactome driven drug target identification in ''Mycobacterium tuberculosis'' |journal=PLOS One |author=Vashisht, R.; Mondal, A.K.; Jain, A. et al. |volume=7 |issue=7 |pages=e39808 |year=2012 |doi=10.1371/journal.pone.0039808 |pmid=22808064 |pmc=PMC3395720}}</ref> They may help in global challenges like drug development<ref name="MunosHowTo11">{{cite journal |title=How to revive breakthrough innovation in the pharmaceutical industry |journal=Science Translational Medicine |author=Munos, B.H.; Chin, W.W. |volume=3 |issue=89 |pages=89cm16 |year=2011 |doi=10.1126/scitranslmed.3002273 |pmid=21715677}}</ref>, as with India's OSDD (Open Source Drug Discovery) project that recruited over 7,000 volunteers<ref name="VashishtCrowd12" /> and an open-source drug synthesis project that improved an existing drug without increasing its cost.<ref name="WoelfleResolution11">{{cite journal |title=Resolution of praziquantel |journal=PLOS Neglected Tropical Diseases |author=Woelfle, M.; Seerden, J.P.; de Gooijer, J. et al. |volume=5 |issue=9 |pages=e1260 |year=2011 |doi=10.1371/journal.pntd.0001260 |pmid=21949890 |pmc=PMC3176743}}</ref>
 
If you want to apply open science and collaborative R&D, what principles are useful? We suggest 10 simple rules for cultivating open science and collaborative R&D. We also offer eight conversational interviews exploring life experiences that led to these rules (see Box 1 at end).
 
==Rule 1: Get the incentives right - Learn from the past==
 
 


If you want to apply open science and collaborative R&D, what principles are useful? We suggest Ten Simple Rules for Cultivating Open Science and Collaborative R&D. We also offer eight conversational interviews exploring life experiences that led to these rules (Box 1).


==Funding==
==Funding==

Revision as of 16:52, 22 March 2017

Full article title Ten simple rules for cultivating open science and collaborative R&D
Journal PLOS Computational Biology
Author(s) Masum, Hassan; Rao, Aarthi; Good, Benjamin M.; Todd, Matthew H.; Edwards, Aled M.; Chan, Leslie; Bunin, Barry A.; Su, Andrew I.; Thomas, Zakir; Bourne, Philip E.
Author affiliation(s) Waterloo Institute for Complexity and Innovation, Results for Development Institute, Scripps Research Institute, University of Sydney, University of Toronto, Collaborative Drug Discovery, Scripps Research Institute, Council of Scientific and Industrial Research, University of California San Diego
Primary contact Email: hassan dot masum at utoronto dot ca
Year published 2013
Volume and issue 9(9)
Page(s) e1003244
DOI 10.1371/journal.pcbi.1003244
ISSN 1553-7358
Distribution license Creative Commons Attribution 4.0 International
Website http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003244
Download http://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003244&type=printable (PDF)

Introduction

How can we address the complexity and cost of applying science to societal challenges?

Open science and collaborative R&D may help.[1][2][3] Open science has been described as "a research accelerator."[4] Open science implies open access[5] but goes beyond it: "Imagine a connected online web of scientific knowledge that integrates and connects data, computer code, chains of scientific reasoning, descriptions of open problems, and beyond ... tightly integrated with a scientific social web that directs scientists' attention where it is most valuable, releasing enormous collaborative potential."[1]

Open science and collaborative approaches are often described as open-source, by analogy with open-source software such as the operating system Linux which powers Google and Amazon — collaboratively created software which is free to use and adapt, and popular for internet infrastructure and scientific research.[6][7] However, this use of "open source" is unclear. Some people use "open source" when a project's results are free to use, others when a project's process is highly collaborative.[4]

It is clearer to classify open source and open science within a broader class of collaborative R&D, which can be defined as scalable collaboration (usually enabled by information technology) across organizational boundaries to solve R&D challenges.[8]

Many approaches to open science and collaborative R&D have been tried.[1][9] The Gene Wiki has created over 10,000 Wikipedia articles, and aims to provide one for every notable human gene.[10] The crowdsourcing platform InnoCentive has reportedly facilitated solutions to roughly half of the thousands of technical problems posed on the site, including many in life sciences such as the $1 million ALS Biomarker Prize.[11] Other examples include prizes (X-Prize[12]), scientific games (FoldIt[13]), and licensing schemes inspired by open-source software (BIOS[14]).

Collaborative R&D approaches vary in openness.[15] In some approaches, the R&D process and outputs are open to all — for example, open-science projects like the Gene Wiki described above. In other approaches which demonstrate what might be called controlled collaboration, there are strong controls on who contributes and benefits — for example, computational platforms like Collaborative Drug Discovery or InnoCentive that support both commercial and nonprofit research.[9][11]

Collaborative approaches can unleash innovation from unforeseen sources, as with crowdsourcing health technologies.[11][12][13][16] They may help in global challenges like drug development[17], as with India's OSDD (Open Source Drug Discovery) project that recruited over 7,000 volunteers[16] and an open-source drug synthesis project that improved an existing drug without increasing its cost.[18]

If you want to apply open science and collaborative R&D, what principles are useful? We suggest 10 simple rules for cultivating open science and collaborative R&D. We also offer eight conversational interviews exploring life experiences that led to these rules (see Box 1 at end).

Rule 1: Get the incentives right - Learn from the past

Funding

This article was made possible by support to HM and AR from a grant by the Bill & Melinda Gates Foundation to the Results for Development Institute. The funders had no role in the preparation of the manuscript.

Competing interests

The authors have declared that no competing interests exist.

References

  1. 1.0 1.1 1.2 Nielsen, M. (2011). Reinventing Discovery: The New Era of Networked Science. Princeton University Press. pp. 272. ISBN 9780691148908. 
  2. National Research Council (2011). Uhlir, P.F.. ed. Designing the Microbial Research Commons: Proceedings of an International Symposium. The National Academies Press. pp. 216. ISBN 9780309219792. https://www.nap.edu/catalog/13245/designing-the-microbial-research-commons-proceedings-of-an-international-symposium. 
  3. Institute of Medicine; Olson, S.; Berger, A.C. (2011). Establishing Precompetitive Collaborations to Stimulate Genomics-Driven Product Development: Workshop Summary. The National Academies Press. pp. 74. ISBN 9780309161824. https://www.nap.edu/catalog/13015/establishing-precompetitive-collaborations-to-stimulate-genomics-driven-product-development-workshop. 
  4. 4.0 4.1 Woelfle, M.; Olliaro, P.; Todd, M.H. (2011). "Open science is a research accelerator". Nature Chemistry 3 (10): 745-8. doi:10.1038/nchem.1149. PMID 21941234. 
  5. "PLOS Collections: Open Access Collection". 2013. Archived from the original on 20 April 2013. http://web.archive.org/web/20130420203146/http://www.ploscollections.org/article/browseIssue.action?issue=info:doi/10.1371/issue.pcol.v01.i10. Retrieved 25 April 2013. 
  6. Prlić, A.; Procter, J.B. (2012). "Ten simple rules for the open development of scientific software". PLOS Computational Biology 8 (12): e1002802. doi:10.1371/journal.pcbi.1002802. PMC PMC3516539. PMID 23236269. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3516539. 
  7. Fogel, K. (2013). "Producing Open Source Software: How to Run a Successful Free Software Project". http://producingoss.com/en/. Retrieved 25 April 2013. 
  8. "Collaborative Health R&D Primer". Global Health R&D Policy Assessment Center. Results for Development Institute. 2013. Archived from the original on 15 January 2013. http://web.archive.org/web/20130115194036/http://healthresearchpolicy.org/primer. Retrieved 25 April 2013. 
  9. 9.0 9.1 Ekins, S.; Hupcey, M.A.Z.; Williams, A.J., ed. (2011). Collaborative Computational Technologies for Biomedical Research. John Wiley & Sons, Inc. pp. 576. ISBN 9780470638033. 
  10. Good, B.M.; Clarke, E.L.; de Alfaro, L.; Su, A.I. (2012). "The Gene Wiki in 2011: Community intelligence applied to human gene annotation". Nucleic Acids Research 40 (D1): D1255-61. doi:10.1093/nar/gkr925. PMC PMC3245148. PMID 22075991. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3245148. 
  11. 11.0 11.1 11.2 Bingham, A.; Spradlin, D. (2011). The Open Innovation Marketplace: Creating Value in the Challenge Driven Enterprise. FT Press. pp. 272. ISBN 9780132311830. 
  12. 12.0 12.1 Wilson, P.; Palriwala, A. (2011). "Prizes for Global Health Technologies". Global Health R&D Policy Assessment Center. Results for Development Institute. Archived from the original on 07 November 2012. http://web.archive.org/web/20121107025448/http://healthresearchpolicy.org/assessments/prizes-global-health-technologies. Retrieved 25 April 2013. 
  13. 13.0 13.1 Good, B.M.; Su, A.I. (2011). "Games with a scientific purpose". Genome Biology 12 (12): 135. doi:10.1186/gb-2011-12-12-135. PMID 22204700. 
  14. Jefferson, R. (2006). "Science as social enterprise: The CAMBIA BiOS Initiative". Innovations: Technology, Governance, Globalization 1 (4): 13–44. doi:10.1162/itgg.2006.1.4.13. 
  15. "HowOpenIsIt?". Public Library of Science. 2013. Archived from the original on 01 March 2013. http://web.archive.org/web/20130301193758/http://www.plos.org/about/open-access/howopenisit/. Retrieved 25 April 2013. 
  16. 16.0 16.1 Vashisht, R.; Mondal, A.K.; Jain, A. et al. (2012). "Crowd sourcing a new paradigm for interactome driven drug target identification in Mycobacterium tuberculosis". PLOS One 7 (7): e39808. doi:10.1371/journal.pone.0039808. PMC PMC3395720. PMID 22808064. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395720. 
  17. Munos, B.H.; Chin, W.W. (2011). "How to revive breakthrough innovation in the pharmaceutical industry". Science Translational Medicine 3 (89): 89cm16. doi:10.1126/scitranslmed.3002273. PMID 21715677. 
  18. Woelfle, M.; Seerden, J.P.; de Gooijer, J. et al. (2011). "Resolution of praziquantel". PLOS Neglected Tropical Diseases 5 (9): e1260. doi:10.1371/journal.pntd.0001260. PMC PMC3176743. PMID 21949890. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3176743. 

Notes

This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added. In a few cases, the URLs from 2013 were dead; they were updated with current URLs, and, when applicable, archived URLs from the Internet Archive.