Theories and Methods in Data Science Librarianship

May 2019 | 224pp

Paperback
9781783304080
Price: £59.95
CILIP members price: £47.95

FORTHCOMING
Pre-order at Bookpoint:
phone +44 (0)1235 827702
email facet@bookpoint.co.uk
fax +44 (0)1235 827703

eBook (PDF)
9781783304103
How to buy eBooks turqoise_arrow


Share this page


Join our mailing list

Theories and Methods in Data Science Librarianship

Edited by Jeannette Ekstrøm and Lorna Wildgaard

This book is a practical guide to how to get started as a data librarian with little time, no money but great enthusiasm.

Theories and Methods in Data Science Librarianship describes and extends the role of the data science librarian through real-world cases and proposes several methods employed by public and academic libraries to develop and further educate the librarian. It is a collection of the best knowledge from published literature and experts in one place, creating an easy to read overview.

The perspectives offered in the book are critical, in that they are reflexive about the role of the librarian and consider challenges and multidimensionality of the librarians profile. This multidimensionality requires theories that address data services as research objects (data-management, definition of concepts, researchers as individual agents, accessibility, funding, profile and education). 

The book covers:

  • how to get started as a data librarian
  • the history and the motivations of the data science librarianship community
  • how data librarians can close the data literacy divide
  • library policy and data science
  • untangling the jungle of copyright and laws surrounding data use and data protection
  • data ethics
  • how library leaders can support and develop data science librarianship
  • managing data science projects and services on no budget
  • inspiring data science projects at the public library
  • library carpentry skills and teaching
  • how to identify user needs and develop relevant data science services.

Readership: The book will be essential reading for librarians and information specialists working working with data related tasks including, research librarians, embedded librarians, metadata librarians, cataloguers, public librarians mediating the possibilities in data for library users and students of library and information science.  It will also be of interest to those working in archives, museums and other cultural heritage institutions.

1. Introduction
2. State of the art
3. Literacy in the age of data
4. Library policy and data science
5. Law, copyright and data protection
6. Data ethics
7. Practicalities
8. Managing data science projects and services on no budget!
9. Public libraries
10. Library carpentry skills and teaching
11. Needs
12. Data Science is a team sport
13. The future: students and education

Jeannette Ekstrøm is working as a Senior Information Officer at the Technical University of Denmark. She graduated as a Librarian back in 1994 from the Royal School of Library and Information Science (IVA), and has been working ever since in Academic Libraries. During 2007 - 2010 she completed a Masters program at IVA and graduated as MLis. Her primary focus is teaching and communication. Jeannette is very passionate about teaching, knowledge sharing and the educational development of new librarians as well as the Librarianship in general. She is no stranger to participating in projects, national and international, and from 2009-2014 she participated in an EU project, OpenAire, with the purpose of assisting researchers with Open Access publication and Open Science issues. Open Science is a big part of her professional work as an academic librarian.
She is very dedicated in everything she does, and thrives on sharing knowledge, organizing events and learning new skills, including setting focus on developing data science competencies for librarians and information specialists,  most recently as a co-organiser of DST4L2016 (www.dst4l.info) and a co-founder of a new Data Science network in Denmark for Librarians and others working with and interested in developing Data Savvy skills.

Lorna Wildgaard is an Assistant Professor at the Royal School of Library and Information Science, Copenhagen, Denmark with an academic background in librarianship. She obtained her Ph.D. in bibliometrics in 2015. Her Ph.D. thesis is on the extent author-level bibliometric indicators are appropriate measures of individual researcher performance. Her research areas are: bibliometrics and research evaluation, medical informatics, research methods, information seeking, communication of information through visual media and most recently the potentials of eyetracking in understanding the communication of information. All areas are strongly influenced by her skills in visual interpretation and presentation of research, a trait from her previous career in Fashion. She is passionate about teaching and dedicated to promoting data science competencies for future librarians and information specialists, most recently as a co-organiser of DST4L2016 (www.dst4l.info) and also a co-founder of a new Data Science network in Denmark for Librarians and others working with and interested in developing Data Savvy skills.

More titles in this category >>