At Hakai, we view data mobilization as the process of making data available for appropriate reuse. Whether reuse of data is appropriate depends on whether the user has enough information to understand the context and methods of data collection, limitations to data interpretation and the considerations under which data reuse is permitted or licensed. The Hakai Institute is committed to ensuring that data generated by or in collaboration with Hakai researchers is made available to the broader science community, where legal and ethical considerations allow, as detailed by the Hakai Open Science Data Policy. Foremost, we apply the CARE principles for Indigenous Data Governance and the First Nations Principles of OCAP, and where possible the FAIR Data Principles, while respecting and retaining intellectual property policies of projects and participants.
In practice, mobilizing Hakai data constitutes 1) creating a Data and Research Output Management Plan; 2) publishing data to appropriate repositories; 3) publishing metadata records to the Hakai Institute Metadata Catalogue.
Data Mobilization Recommended Practices
- Use dmptool.org to create your Project or Program’s Data and Research Output Management Plan (DMP), identifying where and how datasets and other research outputs will be stored, shared, accessed, published, and the expectations and responsibilities of those involved. Register for an account with dmptool.org using your Hakai Institute email address to access the Hakai Data Management Plan template.
- Publish a data package to an appropriate data repository specific to data type or Hakai research program. See Publishing Data for details on appropriate repositories.
- Submit a metadata record to the Hakai Metadata Catalogue using the Metadata Entry Tool, which includes a section to provide a link to download the data package(s) or other research outputs, where they are hosted. The Hakai Data Mobilization team will be notified when you submit a metadata record and will work with you to review and publish metadata, other research outputs and data.
Created: November 20, 2023