Buch, Englisch, 150 Seiten, Format (B × H): 174 mm x 246 mm
Buch, Englisch, 150 Seiten, Format (B × H): 174 mm x 246 mm
Reihe: New Methodologies of Research for PhD and Beyond
ISBN: 978-1-041-33949-6
Verlag: Taylor & Francis Ltd
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.
Zielgruppe
Postgraduate
Autoren/Hrsg.
Weitere Infos & Material
Introduction, 1. The Data-Driven Transformation of Research, 2. Data Literacy and Researcher Competencies, 3. Data Governance, FAIR Principles, and Ethics, 4. Navigating Diverse Data Sources (Surveys, Sensors, Social Media, and Beyond), 5. Data Formats, Structures, and Metadata Standards, 6. Data Platforms and Digital Infrastructure (APIs, Repositories, and Data Lakes), 7. Building and Managing Data Pipelines, 8. Data Lifecycle Management – Provenance, Versioning, and Quality Assurance, 9. Data Sharing, Reuse, and Open Science, 10. Conclusion, 11. References.




