A conceptual framework for studying science research careers
| Autor: | Carolina Cañibano, Eric J. Iversen, Stefan Hornbostel, Jakob Tesch, Sybille Hinze, Richard Woolley |
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| Rok vydání: | 2018 |
| Předmět: |
Typology
Research careers Open science Open data 05 social sciences General Engineering Commercial law 050905 science studies Data science RISIS platform Empirical research Science research Conceptual framework Accounting 0502 economics and business Sociology 0509 other social sciences Business and International Management Construct (philosophy) 050203 business & management |
| Zdroj: | Journal of Technology Transfer |
| ISSN: | 1573-7047 0892-9912 |
| DOI: | 10.1007/s10961-018-9659-3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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