Workshop Content

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.

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

Target Audience

The Digital Humanities Data Curation Institute workshops are aimed at humanities researchers — whether traditional faculty or alternative (alt-ac) professionals — as well as librarians, archivists, other information professionals, and advanced graduate students.

Institute Model

To give participants both a theoretical framework for data curation as well as exposure to real world scenarios, learning will be largely case-based, supplemented by short lectures, guest presentations, and practical exercises. The content of each of the three workshops will be substantially the same but case studies and guest lectures will vary by location.

All participants will also have access to online resources about data curation for the humanities. These resource will incorporate teaching materials from all three workshops and will build on material from the existing DH Curation Guide.