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Abstract

This chapter provides an overview of the history and benefits of big social research, then explores six key issues in big social research—context, data quality and trustworthiness, data comparability, informed consent, privacy and confidentiality, and intellectual property and data ownership. The chapter then outlines data curation implications of these issues, including data curation practices that could help alleviate some aspects of the issues.

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Mannheimer, S. (2024). Big Social Research in Practice. In: Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research. Synthesis Lectures on Information Concepts, Retrieval, and Services. Springer, Cham. https://doi.org/10.1007/978-3-031-49222-8_4

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  • DOI: https://doi.org/10.1007/978-3-031-49222-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49221-1

  • Online ISBN: 978-3-031-49222-8

  • eBook Packages: Synthesis Collection of Technology (R0)

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