As the materials and analytical practices of humanities research become increasingly digital, the theoretical knowledge and practical skills of information science, librarianship, and archival science - which come together in the research, and practice of data curation - will become more vital to humanists.
Carrying out computational research with digital materials requires that both scholars and information professionals understand how to manage and curate data over its entire lifetime of interest. At the least, individual scholars must be able to document their data curation strategies and evaluate those of collaborators and other purveyors of humanities data. More fully integrating data curation into digital research involves fluency with topics such as disciplinary research cultures, publication, information sharing, and reward practices, descriptive standards, metadata formats, and the technical characteristics of digital data.
The Digital Humanities Data Curation Curriculum
The three-day workshop will provide a strong introductory grounding in data curation concepts and practices, focusing on the special issues and challenges of data curation in the digital humanities. Learning will be largely case-based, supplemented by short lectures, guest presentations, and practical exercises.
All participants will also have access to an online resource for sharing knowledge about data curation for the humanities. This resource will build on material from the existing DH Curation Guide.
Participants will learn how to:
- Model humanities data for sustainable computational research
- Identify, assess, and mitigate risks to their data
- Evaluate tools and systems for working with data from a curatorial perspective
- Plan and implement data management during all phases of a project's lifecycle
- Leverage data curation skills to improve scholarly publications, grant applications, and promotion dossiers
- Understand and stay current with the landscape of data curation research