Organized Communities as a Hybrid Form of Data Sharing: Experiences from the Global STEP Project

  • Isabell Stamm Technische Universität Berlin
Keywords: data sharing, qualitative research, secondary analysis, archiving, research collaboration

Abstract

With this article, I explore a new way of how social scientists can share primary qualitative data with each other. More specifically, I examine organized research communities, which are small membership groups of scholars. This hybrid form of data sharing is positioned between informal sharing through collaboration and institutionalized sharing through accessing research archives. Using the global "Successful Transgenerational Entrepreneurship Practices" (STEP) project as an example, I draw attention to the pragmatic practices of data sharing in such communities. Through ongoing negotiations, organized communities can, at least temporarily, put forward sharing policies and create a culture of data sharing that elevates the re-use of qualitative data while being mindful of the data's intersubjective and processual character.

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Author Biography

Isabell Stamm, Technische Universität Berlin

Dr. Isabell STAMM is head of the research group "Entrepreneurial Group Dynamics," founded by Volkswagen Foundation and located at the Department for Sociology at the Technical University Berlin. Beside her engagement in sociology of entrepreneurship, she is interested in cooperative aspects of social research. In the past she has been a fellow at the Berkeley Institute of Data Science, a member of the D-LAB Qualitative working group and has taught qualitative methods on all levels. She has engaged in data sharing at the STEP project and is currently combining online teaching and crowdsourcing to generate data about the trajectories of entrepreneurial groups.

Published
2018-01-16
Section
Single Contributions