Data Curation for Digital Humanists

Description

Carrying out computational research with digital materials requires that humanists understand how to manage and curate data over its entire lifetime of interest—not only for their own project but also for reviewers and other scholars seeking to reuse data and publications. Effective data curation involves gaining fluency with publication practices and norms, metadata standards, and the technical characteristics of digital data. Data Curation for Digital Humanists will cover four key areas of data curation: modeling and capturing information for successful curation; understanding infrastructure and systems; navigating legal and ethical issues; and policy, planning and outreach. Participants will understand how to conduct data curation assessments, write and implement data management plans, better integrate their projects with community standards and technologies, and coordinate with Libraries and IT Groups for access to data curation tools and infrastructure.