Meaningful Data Counts research project

New upload


Meaningful Data Counts research project

The Meaningful Data Counts research project, led by Stefanie Haustein (University of Ottawa, ScholCommLab) and Isabella Peters (ZBW, University of Kiel) and funded by the Alfred P. Sloan Foundation, aims to provide empirical evidence on data usage and data citation behaviour and seeks to improve the understanding of the role that datasets play in scholarly communication. We explore data sharing and citation patterns across academic disciplines and researchers’ career stages as well as underlying motivations to (not) share or cite datasets.

The Meaningful Data Counts project is part of the larger Make Data Count (MDC) initiative, which drives adoption of the building blocks for open data metrics and a community of practice around open, normalized data usage and data citation.

Curated by:
Curation policy:

This community page lists all scholarly outputs by the Meaningful Data Counts research project.

September 16, 2020
Harvesting API:
OAI-PMH Interface

Want your upload to appear in this community?

  • Click the button above to upload a record directly to this community.
    To add one of your existing records to the community, edit the record, add this community under the "Communities" section, save, and finally publish.
  • The community curator will then be notified to either accept or reject your upload (see community curation policy below).
  • If your upload is rejected by the curator, it will still be available on Zenodo, just not in this community.