Negotiated Sharing of Pandemic Data, Models, and Resources

Urgent responses to the COVID‐19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scie...

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Published in:Negotiation journal Vol. 36; no. 4; pp. 497 - 534
Main Authors: Cutcher‐Gershenfeld, Joel, Baker, Karen S., Berente, Nicholas, Berkman, Paul Arthur, Canavan, Pat, Feltus, F. Alex, Garmulewicz, Alysia, Hutchins, Ron, King, John Leslie, Kirkpatrick, Christine, Lenhardt, Chris, Lewis, Spencer, Maffe, Michael, Mittleman, Barbara, Sampath, Rajesh, Shin, Namchul, Stall, Shelley, Winter, Susan, Veazey, Pips
Format: Journal Article
Language:English
Published: United States Blackwell Publishing Ltd 01-09-2020
John Wiley and Sons Inc
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Abstract Urgent responses to the COVID‐19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long‐standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases—where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed—the rules of the game are “on the table” for institutional‐level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID‐19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre‐competitive initiatives.
AbstractList Urgent responses to the COVID-19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long-standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases-where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed-the rules of the game are "on the table" for institutional-level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID-19pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre-competitive initiatives.
Urgent responses to the COVID‐19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long‐standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases—where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed—the rules of the game are “on the table” for institutional‐level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID‐19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre‐competitive initiatives.
Urgent responses to the COVID-19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long-standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases-where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed-the rules of the game are "on the table" for institutional-level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID-19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre-competitive initiatives.Urgent responses to the COVID-19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In many scientific fields and disciplines, institutional norms treat data, models, and resources as proprietary, emphasizing competition among scientists and researchers locally and internationally. Concurrently, long-standing norms of open data and collaboration exist in some scientific fields and have accelerated within the last two decades. In both cases-where the institutional arrangements are ready to accelerate for the needed collaboration in a pandemic and where they run counter to what is needed-the rules of the game are "on the table" for institutional-level renegotiation. These challenges to the negotiated order in science are important, difficult to study, and highly consequential. The COVID-19 pandemic offers something of a natural experiment to study these dynamics. Preliminary findings highlight: the chilling effect of politics where open sharing could be expected to accelerate; the surprisingly conservative nature of contests and prizes; open questions around whether collaboration will persist following an inflection point in the pandemic; and the strong potential for launching and sustaining pre-competitive initiatives.
Author Cutcher‐Gershenfeld, Joel
Berente, Nicholas
Mittleman, Barbara
Lenhardt, Chris
Berkman, Paul Arthur
Stall, Shelley
Canavan, Pat
Sampath, Rajesh
King, John Leslie
Shin, Namchul
Winter, Susan
Veazey, Pips
Garmulewicz, Alysia
Kirkpatrick, Christine
Maffe, Michael
Lewis, Spencer
Hutchins, Ron
Baker, Karen S.
Feltus, F. Alex
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/38607846$$D View this record in MEDLINE/PubMed
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crossref_primary_10_1016_j_compbiomed_2021_104372
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2020 President and Fellows of Harvard College.
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Issue 4
Keywords models
COVID‐19
data
resources
rules of the game
negotiated order
negotiations
stakeholders
pandemic
institutions
forums
alignment
interests
Language English
License 2020 President and Fellows of Harvard College.
This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.
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Notes Stakeholder Alignment Collaborative (J. Cutcher‐Gershenfeld, K.S. Baker, N. Berente, P. A. Berkman, P. Canavan, F. A. Feltus, A. Garmulewicz, R. Hutchins, J. L. King, C. Kirkpatrick, C. Lenhardt, S. Lewis, M. Maffe, B. Mittleman, R. Sampath, N. Shin, S. Stall, S. Winter, P. Veazey). 2020. Negotiated Sharing of Pandemic Data, Models, and Resources. Negotiation Journal. 36:4 (Fall).
Recommended Citation
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Recommended Citation: Stakeholder Alignment Collaborative (J. Cutcher‐Gershenfeld, K.S. Baker, N. Berente, P. A. Berkman, P. Canavan, F. A. Feltus, A. Garmulewicz, R. Hutchins, J. L. King, C. Kirkpatrick, C. Lenhardt, S. Lewis, M. Maffe, B. Mittleman, R. Sampath, N. Shin, S. Stall, S. Winter, P. Veazey). 2020. Negotiated Sharing of Pandemic Data, Models, and Resources. Negotiation Journal. 36:4 (Fall).
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Snippet Urgent responses to the COVID‐19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In...
Urgent responses to the COVID-19 pandemic depend on increased collaboration and sharing of data, models, and resources among scientists and researchers. In...
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SubjectTerms alignment
Collaboration
Competition
Coronaviruses
COVID-19
COVID-19 vaccines
data
Famine
forums
institutions
interests
Medical research
Medical supplies
negotiated order
Negotiation
Negotiations
Norms
pandemic
Pandemics
Politics
Proprietary
Public health
Regulatory approval
resources
rules of the game
Science
Severe acute respiratory syndrome coronavirus 2
Special Section
Special Section: Negotiations and Conflict Resolution During the Global Pandemic
stakeholders
Vaccines
World War II
Title Negotiated Sharing of Pandemic Data, Models, and Resources
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fnejo.12340
https://www.ncbi.nlm.nih.gov/pubmed/38607846
https://www.proquest.com/docview/2456878097
https://www.proquest.com/docview/3038438272
https://pubmed.ncbi.nlm.nih.gov/PMC7537168
Volume 36
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