Research collaboration in Large Scale Research Infrastructures: Collaboration types and policy implications

TY - JOUR

T1 - Research collaboration in Large Scale Research Infrastructures: Collaboration types and policy implications

AU - D'Ippolito, Beatrice

AU - Rüling, Charles-Clemens

N1 - © 2019 Published by Elsevier B.V. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy.

PY - 2019/6

Y1 - 2019/6

N2 - Over the past decades, Large Scale Research Infrastructures (LSRIs) have come to play a central role in providing scientist-users access to highly specialised scientific instrumentation and experimental conditions. Collaborations between (permanent) instrument scientists and users are at the core of these organisations, yet knowledge about the nature of such collaborations and their development over time is surprisingly scarce. In particular, we know very little about the interrelation between the individual and organisational drivers of collaboration. Based on a qualitative study of scientists and their collaborations at Institut Laue-Langevin, a world-leading neutron source, we identify four typical collaboration patterns, which reflect particular configurations of (dis)similarity between instrument scientists and users in terms of perceived expertise gap and co-development focus. Our findings suggest that the co-existence of multiple collaboration types within the same organisation plays an important role in the long-term success of LSRIs. In addition, we contend that dissimilarity can generate productive collaboration to the same extent as partner similarity; not only at the organisational level – co-existence of different types of collaborations across the LSRI, favouring the co-existence of a broad range of instrumentation – but also at the individual level – where instrument scientists benefit in terms of more productive collaborations over time despite the cost of learning involved.

AB - Over the past decades, Large Scale Research Infrastructures (LSRIs) have come to play a central role in providing scientist-users access to highly specialised scientific instrumentation and experimental conditions. Collaborations between (permanent) instrument scientists and users are at the core of these organisations, yet knowledge about the nature of such collaborations and their development over time is surprisingly scarce. In particular, we know very little about the interrelation between the individual and organisational drivers of collaboration. Based on a qualitative study of scientists and their collaborations at Institut Laue-Langevin, a world-leading neutron source, we identify four typical collaboration patterns, which reflect particular configurations of (dis)similarity between instrument scientists and users in terms of perceived expertise gap and co-development focus. Our findings suggest that the co-existence of multiple collaboration types within the same organisation plays an important role in the long-term success of LSRIs. In addition, we contend that dissimilarity can generate productive collaboration to the same extent as partner similarity; not only at the organisational level – co-existence of different types of collaborations across the LSRI, favouring the co-existence of a broad range of instrumentation – but also at the individual level – where instrument scientists benefit in terms of more productive collaborations over time despite the cost of learning involved.

KW - Collaboration pattern

KW - Large Scale Research Infrastructures (LSRIs)

KW - Partner (dis)similarity

KW - Research collaboration

UR - http://www.scopus.com/inward/record.url?scp=85060345698&partnerID=8YFLogxK

U2 - 10.1016/j.respol.2019.01.011

DO - 10.1016/j.respol.2019.01.011

M3 - Article

VL - 48

SP - 1282

EP - 1296

JO - Research policy

JF - Research policy

SN - 0048-7333

IS - 5

ER -