IUPUI DataWorks: Curation Services

Curation Services

IUPUI DataWorks is a fully curated open access data repository. IUPUI researchers, students, and staff may deposit data to IUPUI DataWorks subject to our collection policies. Data sets submitted to IUPUI DataWorks are immediately reviewed by a data curator to ensure that data are in a format and structure that facilitates long-term access, discovery, and reuse. Repository services include curation, discovery and access, and preservation.

Curation

All data submitted undergo data-level curation procedures as described by the Data Curation Network project. Curation includes:

  • Documentation: Work with authors to create additional data documentation, e.g., readme template
  • Metadata creation: Apply standardized metadata to enhance discovery 
  • Quality control/Quality assurance: Open files, detect/request missing files and/or information (e.g., what do “blank” cells mean?)
  • Creative Commons Licenses: Assist authors in choosing an appropriate license
  • DataCite DOIs: Register metadata with unique persistent URLs that ensure long-term citability
  • Chain of custody: Maintains the chain of custody for datasets via our repository technology system, DSpace, which is based on the OAIS standard for tracking the integrity and authenticity of all digital objects housed in the system

Discovery and access

IUPUI DataWorks is a publicly available collection of digital research data generated by IUPUI researchers, students, and staff. Anyone can search and download the data housed in the repository, instantly or by request. All data sets are fully indexed and search engine optimized for broad findability. During the deposit process, we will create rich dataset-level metadata and a DOI (via DataCite) to maximize discovery.

Preservation

IUPUI DataWorks provides long-term preservation of digital data files using services such as migration (limited format types), secure backup, bit-level checksums, and disaster recovery mechanisms in place.

Note: Adapted from The Data Repository for U of M