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Level | Nickname | Marketplace metaphor | Key Features | Picture |
1 | "Started the FAIR journey." | "Flea market" | Awareness started, and the first pilots for implementation. |
Table level 1 summary.Summary Profile: Level 1 “Started the FAIR journey”
Level 1 - Capabilities
The “F” principle is in focus, especially with the establishment and implementation of unique identifiers for key data sets, and the implementation of metadata catalogs.
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Speed and cost are the main benefits. Humans can more efficiently locate important data assets; for example, researchers take much less time to find data. There is also a reduction in redundant data collection. Data is recognised as a Strategic Asset. Level
Level 1 - Questions to ask
Are there Globally Universal Identifiers (GUID) for key data and their metadata? Are they unique?(WIP input needed): questions that speak to other dimensions?
How does heterogeneity manifest in the organization's data landscape, and what efforts are being made to address this?
What steps are being taken to deploy identifiers and metadata within the organization?
How are top-down and bottom-up leadership approaches contributing to FAIR data initiatives within the organization?
What initial steps are being taken to craft a vision and plan for FAIR data within the organization?
What emerging roles are being recognized within the organization's FAIR data initiatives?
How is the organization determining which data should be made FAIR retrospectively, and what processes are being established for this purpose?
How are individuals connecting with external communities of practice to further their understanding of FAIR data?
How are existing IT practices being enhanced to accommodate data and metadata creation and curation?
Level 1 - FAIR data
Some data is cataloged and hosted in a data lake, and there is governance for accessibility; however, data is generally "unconformed" (meaning that no domain model is used to constrain information).
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(Back to the FAIR Matrix).
Level 1 -
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FAIR processes
In recognizing FAIR data's potential (business) value, there are processes to consider and determine which data we should make FAIR retrospectively. Efforts are underway to establish processes that provide guidelines for creating FAIR data, including the policy development for globally unique identifiers to enable the "F" principle.
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