Re: [sdw] [SDW Best Practices Update]: Add FAIR principles to the document (#1290)

Gathering some thoughts:

**1. FAIR gets a few mentions in the UNGGIM Standards Guide**. Here's the trial online version (likely to move to a different location at some point): For example:

"The Guide also underscores the importance of standards in facilitating the application of the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles - promoting improved policymaking, decision making and government effectiveness in addressing key social, economic, and environmental topics, including attainment of Sustainable Development Goals."

"Developed in 2016, the ' FAIR Guiding Principles for data management and stewardship' can be used to help with development of these capabilities. These guidelines intend to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets, and emphasize machine-actionability (the capacity of computational systems to find and interrogate data with none or minimal human intervention) to support humans in dealing with increased volume, complexity, and creation speed of data. The FAIR Principles provide a very comprehensive framework for applying standards and dealing with all aspects of the data lifecycle, including the ability to collect, organize, describe, and manage geospatial information."

"There are a wide range of FAIR data training resources and courses offered on the internet and by various organizations worldwide. One such example is provided by the [Australian Research Data Commons]("

**2. Natural Resources Canada** advocate extending that concentration on "machine-actionability" to remember humans: for web publication, being accessible to humans is important. Human accessibility (readability) helps "findability" because search engine crawlers are designed to prioritise human-readable pages. But also, "web accessibility" emphasises users with a range of abilities being able to access the data (information) using a variety of assistive technologies.

_I'm sure I heard about that at OGC December 2021, but I can't find anything just now!_

**3. UK Geospatial Commission** adds Q - it's not that useful to find & access data unless the quality is appropriate. (This is somewhat reminiscent of a criticism of "five star data" that could be "five star" but of very low quality).; 

**4. Earth Sciences Information Partnership "FAIR Data Quality Information"** also looks to add information about data quality to that "required by" the FAIR principles - whilst arguing that (therefore!) the 'dataset quality information' about a dataset (& its supporting material) has also be FAIR. No point in having a quality report & then not making it accessible to (potential) users

"When data can be discovered based on information about certain quality attributes, the findability of the data is improved for users who need data that contain such attributes. Accessibility and usability of data is improved by describing issues and conditions that could affect the use of the data. Describing quality information in standardized formats, schemas, and terminology with controlled and even harmonized vocabularies, improves the interoperability of the data. The reusability of data is facilitated by describing limitations on use as well as appropriate and inappropriate uses and usage of the data" (Ivana Ivanova et al)

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Received on Tuesday, 14 December 2021 16:13:13 UTC