Data Science in the Library - Tools and Strategies for Supporting Data-Driven Research and Instruction

Table des matières

PART 1: DATA SCIENCE AND RESEARCH LIBRARIES – PERSPECTIVES; Sustainability and Success Models for Informal Data Science Training within Libraries; The Fundación Juan March DataLab: A Data Science Unit within a Research Support Library; PART 2: DATA SCIENCE INSTRUCTION; Toward Reproducibility: Academic Libraries and Open Science; Start with Data Science; PART 3: DATA SCIENCE SERVICES; In Support of Data-Intensive Science at the University of Washington; From a Data Archive to Data Science: Supporting Current Research; PART 4: DESIGNING AND STAFFING DATA SCIENCE; In-House Training as the First Step to Becoming a Data Savvy Librarian; Designing for Data Science: Planning for Library Data Services

A propos de l'auteur

Joel Herndon leads Duke Libraries' Data and Visualization Services, a consulting and training service providing support for data science, data management, data visualization, digital mapping, and data analysis. His recent research considers the evolution of data management requirements in social science journals and how research libraries can provide consultation and training to meet those requirements (Herndon and O'Reilly, 2016). He has a strong interest in how libraries engage with their communities in digital research and training. Recent projects include leading the launch of the Edge research space in Duke Libraries, active involvement in Duke's DataFest competitions, and serving as a principal investigator on the Data Curation Network.

Résumé

This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.

Détails du produit

• Collaboration: Joel Herndon (Editeur)
• Edition: Taylor and Francis
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 31.08.2021
• EAN: 9781783304592
• ISBN: 978-1-78330-459-2
• Catégories: Sciences sociales, droit, économie > Médias, communication > Librairies, bibliothèques; Data Mining, Library & information services, Archiving, preservation & digitisation, Library and information services, Library, archive and information management, COMPUTERS / Data Science / Data Modeling & Design, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / General, Library, Archive & Information Management, Data capture and analysis, Data Capture & Analysis, IT, Internet and electronic resources in libraries, IT, Internet & electronic resources in libraries, Archiving, preservation and digitization