Why data matters to librarians and how to educate the next generation
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Why data matters to librarians – and how to educate the next generation. Christine L. Borgman Professor & Presidential Chair in Information Studies, UCLA. NRC Board on Research Data and Information Symposium on The Changing Role of Libraries in Support of Scientific Data Activities

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Why data matters to librarians – and how to educate the next generation

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Why data matters to librarians and how to educate the next generation

Why data matters to librarians – and how to educate the next generation

Christine L. Borgman

Professor & Presidential Chair in Information Studies, UCLA

NRC Board on Research Data and Information

Symposium on The Changing Role of Libraries in Support of Scientific Data Activities

June 3, 2010


Overview

Overview

  • Why data matters to librarians

    • Reflections on prior speakers

    • Implications for educating librarians, archivists, and educators

  • How to educate the next generation

    • UCLA graduate courses in Information Studies

    • Course objectives, topics, and goals


Data data practices and data curation course objectives

Data, Data Practices, and Data Curation: Course Objectives

  • Students will learn to distinguish between the many forms of data, how data vary by scholarly discipline, and how they are used throughout the scholarly life cycle.

  • Students will learn the roles that data play in research collaborations.

  • Students will learn to distinguish among different types of data collections, repositories, and services.

  • Students will learn basic principles of public policies for data.

  • Students will gain a basic knowledge of data curation practices in the library and archive fields.

  • Students will learn professional criteria for selecting and appraising data.


Data data practices and data curation course topics

Data, Data Practices, and Data Curation: Course topics

  • Overview of Data, Data Practices, and Data Curation

  • Role of data in research: Katie Mika, PhD Student in Environmental Engineering, UCLA. How clean are your beaches? Source tracking, watersheds, and public health

  • Definitions of Data and the Nature of Evidence

  • Data-driven scholarship: Dr. Catherine van Ingen, Microsoft eScience. Mashing up big data; seamless science

  • Data Lifecycle & Collaboration

  • Data Archives and Repositories: Libbie Stephenson, Institute for Social Research Data Archive, UCLA

  • Data Sharing

  • DataCuration

  • Public Policy for Research Data: Paul F. Uhlir, National Academies

  • The Role of Libraries & Archives in Data Management: Peter Young and eScience team, Library of Congress


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