Material Detail

The goal of this book is to both introduce terminology and techniques for working with data, as well as foreground principles in effective data stewardship. In doing so, we will try to help reduce the complexity of managing and providing services for data across DOL.

The book is structured around three chapters:

• Data Stewardship - Fundamental Concepts: In this chapter a working definition of data is introduced. We will discuss how data and collections of data can be differentiated by types and roles. We will also cover metadata and the process of organizing and structuring documentation to make data more accessible and useful to stakeholders. We will conclude with an overview of data governance (and where a data steward fits into governance at DOL) as well as data ethics.

• Data Stewardship - In Practice: The second chapter covers best practices in data management and records management and disposal, and how to apply concepts of data quality. We will also cover the selection and use of standards related to data and metadata, and how to serve stakeholders of data at DOL through data interviews.

• Data Stewardship - Applications: In the final chapter we will discuss data infrastructures including repositories for storing and preserving data, how to select and apply standards to data (and metadata), techniques for cleaning or tidying data, and some general applications for managing databases, understanding emerging technologies like artificial intelligence, and principles of visualizing data.

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