Hakai Data Mobilization Strategy
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 Management Plan; 2) publishing data to appropriate repositories; 3) publishing metadata records to the Hakai Institute Data Catalogue.
Data Mobilization Recommended Practices:
Use dmptool.org to create your Project or Program's Data Management Plan (DMP), identifying where and how datasets 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.
Identify long-term, high value data and publish this as a data package to the Hakai GitHub Repository (see here for how to publish to GitHub) and/or to a data repository specific to the data type. For other Hakai data products and their publication workflows, see section 02 - Publishing Data.
Submit a metadata record to the Hakai Data Catalogue using the Metadata Entry Tool, which includes a section to provide a link to download the data package(s) wherever they are hosted. Work with the catalogue team (catalogue-team@hakai.org) to publish and review metadata.