This book is a resource for understanding issues related to data collection, storage, and sharing practices across disciplines.

The book has three parts: “Data and Scholarship,” “Case Studies in Data Scholarship,” and “Data Policy and Practice.” It also has a rich references section. Part 1 consists of four chapters: “Provocations,” “What are Data?” “Data Scholarship,” and “Data Diversity.” In the “Provocations” chapter, the author lists the six provocations explored in the book’s ten chapters, which include reproducibility, transferring knowledge, the dissemination of scholarly work, and the evolution and development of knowledge infrastructures.

Part 2’s three chapters are about data scholarship in the sciences, in the social sciences, and in the humanities. They discuss the various practices of collecting, using, sharing, modifying, and citing data in the different sciences and in diverse subject areas such as Buddhist studies and sensor studies. Many questions are answered for scholars who intend to use datasets from different disciplines.

Part 3, which includes three chapters, covers principles on sharing, releasing, and reusing data; giving credit to data; and what data to keep.

This book does not consist of technical information about working on datasets, but instead gives valuable insight into the big picture of data from social and policy perspectives across different academic disciplines.

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