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A conceptual framework for studying science research careers

Carolina Cañibano (), Richard Woolley, Eric Iversen, Sybille Hinze, Stefan Hornbostel and Jakob Tesch
Additional contact information
Carolina Cañibano: INGENIO, CSIC- Universitat Politècnica de Valencia, Ciudad Politécnica de la Innovación
Richard Woolley: INGENIO, CSIC- Universitat Politècnica de Valencia, Ciudad Politécnica de la Innovación
Sybille Hinze: DZHW (German Centre for Higher Education Research and Science Studies)
Stefan Hornbostel: DZHW (German Centre for Higher Education Research and Science Studies)
Jakob Tesch: DZHW (German Centre for Higher Education Research and Science Studies)

The Journal of Technology Transfer, 2019, vol. 44, issue 6, No 13, 1964-1992

Abstract: Abstract The emergence of open science and new data practices is changing the way research is done. Opportunities to access data through purpose built platforms and repositories, combined with emerging data and meta-data curation practices are expanding data availability in many fields. This paper presents a conceptual framework for studying scientific research careers, motivated by opportunities to link empirical datasets to construct new analyses that address remaining and emerging knowledge gaps. The research career conceptual framework (RCCF) emerges from a review of relevant theories and empirical findings regarding research careers. The paper reviews existing models and develops a typology of research careers. It also compiles a list of variables drawn from the literature on research careers. Two preliminary demonstrations of linking datasets to address empirical questions are outlined. The final discussion advocates an approach to emerging data opportunities that combines theories and models with empirical research questions as being superior to an approach that produces ad hoc explanations on the basis of ‘data fishing’ exercises.

Keywords: Research careers; Open data; RISIS platform (search for similar items in EconPapers)
JEL-codes: I23 O33 Y10 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10961-018-9659-3

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