Open data partnerships between firms and universities: The role of boundary organizations

•Firms increasingly participate in open data initiatives where scientific data and results are published with no restriction.•Studying the case of the Structural Genomics Consortium, we explore how firms can overcome the key challenges of open data to benefit from it.•We find that boundary organizat...

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Vydané v:	Research policy Ročník 44; číslo 5; s. 1133 - 1143
Hlavní autori:	Perkmann, Markus, Schildt, Henri
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 01.06.2015 Elsevier Sequoia S.A
Predmet:	Boundary organization Companies Competitiveness Competitors Consortia Data Disclosure Educational partnerships Genomics Industrial R&D Information sharing Motivation Open data Open innovation Organizations Partnerships R&D Research & development Research and development Research partnership Research partnerships Science Scientists Selective revealing Structural change Studies Universities University–industry relations Boundary organization Selective revealing Industrial R&D University–industry relations Open innovation Research partnership Open data
ISSN:	0048-7333, 1873-7625
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Abstract	•Firms increasingly participate in open data initiatives where scientific data and results are published with no restriction.•Studying the case of the Structural Genomics Consortium, we explore how firms can overcome the key challenges of open data to benefit from it.•We find that boundary organizations facilitate open data by reconciling the goals of firms, academics, and science funders.•Boundary organizations enable firms to reveal R&D problems by minimizing adverse information leaks and motivating academics to pursue research agendas shaped by corporations. Science-intensive firms are experimenting with ‘open data’ initiatives, involving collaboration with academic scientists whereby all results are published with no restriction. Firms seeking to benefit from open data face two key challenges: revealing R&D problems may leak valuable information to competitors, and academic scientists may lack motivation to address problems posed by firms. We explore how firms overcome these challenges through an inductive study of the Structural Genomics Consortium. We find that the operation of the consortium as a boundary organization provided two core mechanisms to address the above challenges. First, through mediated revealing, the boundary organization allowed firms to disclose R&D problems while minimizing adverse competitive consequences. Second, by enabling multiple goals the boundary organization increased the attractiveness of industry-informed agendas for academic scientists. We work our results into a grounded model of boundary organizations as a vehicle for open data initiatives. Our study contributes to research on public–private research partnerships, knowledge revealing and boundary organizations.
AbstractList	•Firms increasingly participate in open data initiatives where scientific data and results are published with no restriction.•Studying the case of the Structural Genomics Consortium, we explore how firms can overcome the key challenges of open data to benefit from it.•We find that boundary organizations facilitate open data by reconciling the goals of firms, academics, and science funders.•Boundary organizations enable firms to reveal R&D problems by minimizing adverse information leaks and motivating academics to pursue research agendas shaped by corporations. Science-intensive firms are experimenting with ‘open data’ initiatives, involving collaboration with academic scientists whereby all results are published with no restriction. Firms seeking to benefit from open data face two key challenges: revealing R&D problems may leak valuable information to competitors, and academic scientists may lack motivation to address problems posed by firms. We explore how firms overcome these challenges through an inductive study of the Structural Genomics Consortium. We find that the operation of the consortium as a boundary organization provided two core mechanisms to address the above challenges. First, through mediated revealing, the boundary organization allowed firms to disclose R&D problems while minimizing adverse competitive consequences. Second, by enabling multiple goals the boundary organization increased the attractiveness of industry-informed agendas for academic scientists. We work our results into a grounded model of boundary organizations as a vehicle for open data initiatives. Our study contributes to research on public–private research partnerships, knowledge revealing and boundary organizations. Science-intensive firms are experimenting with 'open data' initiatives, involving collaboration with academic scientists whereby all results are published with no restriction. Firms seeking to benefit from open data face two key challenges: revealing R&D problems may leak valuable information to competitors, and academic scientists may lack motivation to address problems posed by firms. We explore how firms overcome these challenges through an inductive study of the Structural Genomics Consortium. We find that the operation of the consortium as a boundary organization provided two core mechanisms to address the above challenges. First, through mediated revealing, the boundary organization allowed firms to disclose R&D problems while minimizing adverse competitive consequences. Second, by enabling multiple goals the boundary organization increased the attractiveness of industry-informed agendas for academic scientists. We work our results into a grounded model of boundary organizations as a vehicle for open data initiatives. Our study contributes to research on public-private research partnerships, knowledge revealing and boundary organizations. Science-intensive firms are experimenting with 'open data' initiatives, involving collaboration with academic scientists whereby all results are published with no restriction. Firms seeking to benefit from open data face two key challenges: revealing RD problems may leak valuable information to competitors, and academic scientists may lack motivation to address problems posed by firms. We explore how firms overcome these challenges through an inductive study of the Structural Genomics Consortium. We find that the operation of the consortium as a boundary organization provided two core mechanisms to address the above challenges. First, through mediated revealing, the boundary organization allowed firms to disclose RD problems while minimizing adverse competitive consequences. Second, by enabling multiple goals the boundary organization increased the attractiveness of industry-informed agendas for academic scientists. We work our results into a grounded model of boundary organizations as a vehicle for open data initiatives. Our study contributes to research on public-private research partnerships, knowledge revealing and boundary organizations. All rights reserved, Elsevier
Author	Schildt, Henri Perkmann, Markus
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Snippet	•Firms increasingly participate in open data initiatives where scientific data and results are published with no restriction.•Studying the case of the... Science-intensive firms are experimenting with 'open data' initiatives, involving collaboration with academic scientists whereby all results are published with...
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SubjectTerms	Boundary organization Companies Competitiveness Competitors Consortia Data Disclosure Educational partnerships Genomics Industrial R&D Information sharing Motivation Open data Open innovation Organizations Partnerships R&D Research & development Research and development Research partnership Research partnerships Science Scientists Selective revealing Structural change Studies Universities University–industry relations
Title	Open data partnerships between firms and universities: The role of boundary organizations
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