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Peer Review Report For: Social responsibility in research and innovation practice and policy across global regions, institutional types, and fields: Interview data and qualitative content analysis outputs revealing the perspectives and experiences of professionals [version 1; peer review: 2 approved, 1 approved with reservations]

Abstract

In conclusion, I believe the main re-use of the data (at all four levels) will be in interpreting the analytical and published output from the project and the generation of new ideas for related research. Which would be no mean feat. I would recommend indexing of the data note and a slight re-organization of the code count data to include the background variables in the dataset at interview level as described above (i.e., to be a 113x129 table).

Category

Academic article

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Technology Management

Year

2023

Published in

Open Research Europe

ISSN

2732-5121

Volume

3

Issue

65

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