ABSTRACT

Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility.

Written for postgraduate students and early-career researchers in the social sciences and management, the volume also supports instructors and research support staff who need a grounded, course-ready guide to modern data practices, including links to evidence-based management and real-world research settings.

chapter |9 pages

Introduction

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chapter 1|17 pages

The Data-Driven Transformation of Research

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chapter 2|11 pages

Data Literacy and Researcher Competencies

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chapter 3|12 pages

Data Governance, Fair Principles, and Ethics

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chapter 5|19 pages

Data Formats, Structures, and Metadata Standards

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chapter 6|14 pages

Data Platforms and Digital Infrastructure

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chapter 7|16 pages

Building and Managing Data Pipelines

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chapter 9|9 pages

Data Sharing, Reuse, and Open Science

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chapter |9 pages

Conclusion

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