Book Title: Data Primer: Making Digital Humanities Research Data Public

Book Description

Data management and curation are important processes for digital humanists: without proper planning and management, the value of the data as well as the labour involved in researching, collecting, and analyzing the data, could be lost!

Data Primer: Making Digital Humanities Research Data Public helps integrate best practices when writing a Data Management Plan for research funding applications; it will also improve data curation strategies for collecting, managing, and publishing digital files and formats alongside traditional textual scholarship.

This Data Primer was collaboratively authored by over 30 Digital Humanities researchers and research assistants, and was peer-reviewed by data professionals. It serves as an overview of the different aspects of data curation and management best practices for digital humanities researchers. The Data Flow and Discovery Tool and related best practices can be applied across the broad spectrum of digital humanities methodologies. A SSHRC-funded SpokenWeb partnership is used as an example throughout the Data Primer to illustrate how best practices were followed and incorporated into a data curation project.

Data Primer: Making Digital Humanities Research Data Public is endorsed by the National Training Expert Group of the Digital Research Alliance of Canada.

This book is a cloned version of Manuel d’introduction aux données : Rendre publiques les données de recherche en sciences humaines numériques by Felicity Tayler, Marjorie Mitchell, Chantal Ripp, et Pascale Dangoisse, published using Pressbooks under a CC BY (Attribution) license. It may differ from the original.