Working as a Data Librarian
eBook - ePub

Working as a Data Librarian

A Practical Guide

  1. 256 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Working as a Data Librarian

A Practical Guide

About this book

Many librarians' job responsibilities increasingly require them to understand and handle data. Learn how to be an effective data librarian—even if you never expected to need data skills. The field of data librarianship is rapidly growing, and some librarians may feel that their training and experience does not cover data questions asked by patrons seeking advice. With this gentle guide for librarians moving—sometimes unexpectedly—into the world of data librarianship, all you need is a willingness to learn the skills required for the rapidly growing number of jobs requiring data librarianship. Working as a Data Librarian focuses on transferable skills and understanding and does not assume extensive knowledge. It introduces tasks and concepts needed to be an effective data librarian, such as best practices for data reference interviewing, finding data sources, data visualization, data literacy, the data lifecycle, metadata design, database design, understanding data management, and preparing data management plans. Additional sections focus on supporting creativity (Makerspaces and Fablabs, 3-D modeling), supporting analysis (GIS, data visualization, text mining, statistical methods), supporting research (digital scholarship, digital preservation, institutional data repositories, scholarly communication), and outreach (data librarian liaisonship, hackathons, developing outreach programs).

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Yes, you can access Working as a Data Librarian by Eric O. Johnson in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Data Modelling & Design. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. One: Introduction
  6. Two: Finding and Obtaining Data
  7. Three: Database Design
  8. Four: Data Collection Techniques
  9. Five: Using Data for Visualization
  10. Six: Using Data for Scholarship
  11. Seven: Public Programs
  12. Eight: Conclusion
  13. Appendix 1: Data Sources
  14. Appendix 2: Database Platforms
  15. Appendix 3: Visualization Resources
  16. Appendix 4: Software Tools
  17. Glossary
  18. Index