Edit comment LC-3036 for Data on the Web Best Practices Working Group

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Comment LC-3036

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[Free text description]Document as a wholeAbstract 1. Introduction Note 2. Conformance 3. Audience 4. Scope 5. Data on the Web Challenges Issue 1 6. Best Practices Template Best Practice Template Issue 2 7. Best Practices Summary 8. The Best Practices Issue 3 Issue 4 8.1 Metadata Best Practice 1: Document data Issue 5 Best Practice 2: Use machine-readable formats to provide met... Best Practice 3: Use standard terms to define metadata Issue 6 8.1.1 Data Discovery Best Practice 4: Provide discovery metadata 8.1.2 Locale Parameters Best Practice 5: Provide locale parameters metadata 8.1.3 Data Licenses Best Practice 6: Provide data license information 8.1.4 Data Provenance Best Practice 7: Provide data provenance information 8.1.5 Data Quality Best Practice 8: Provide data quality information Issue 7 8.1.6 Data Versioning Best Practice 9: Provide versioning information Best Practice 10: Provide version history 8.2 Data Identification Best Practice 11: Use unique identifiers 8.3 Data Formats Best Practice 12: Use machine-readable standardized data for... Issue 8 Best Practice 13: Use open data formats Best Practice 14: Provide data in multiple formats 8.4 Data Vocabularies Issue 9 The section needs terminolog... 8.4 Data Vocabularies Issue 9 Issue 10 Best Practice 15: Document vocabularies Best Practice 16: Share vocabularies in an open way Best Practice 17: Vocabulary versioning Best Practice 18: Re-use vocabularies Best Practice 19: Choose the right formalization level Issue 11 8.5 Sensitive Data Best Practice 20: Preserve people's right to privacy Preserve organization's security Best Practice 21: Provide data unavailability reference Issue 12 8.6 Data Access Best Practice 22: Provide bulk download Best Practice 23: Follow REST principles when designing APIs Best Practice 24: Provide real-time access Best Practice 25: Provide data up to date Best Practice 26: Maintain separate versions for a data API 8.7 Data Preservation Issue 13 8.8 Feedback Best Practice 27: Gather feedback from data consumers
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open proposal pending resolved_yes resolved_no resolved_partial other assigned to Nobody

Type: substantive editorial typo question general comment undefined

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# Preservation
There are existing guidelines about the process of preservation itself. Those could be cited to guide people on how to do preservation. There is also a lot of repositories that exist to preserve data at different levels (institution, national, ...).
There should be something there! In terms of BPs, the following points should be addressed:
* As a data publisher, do you want to, or have to, preserve your data ?
* If yes, what to preserve ?
* Who to give it to ? Only to one archive or several ? One could be mandated to do preservation whatever is quality as an archive is. There are existing certifications (DSA, etc) that can be used to help publishers make informed choices about who to trust.
* Think about the level of access for the preserved copy (public, private, ...)
* The type of data matter for preservation. Publishers need to be aware of that. It is also important to think about preserving with context and thus push not only a dataset alone but also preserve the resources that are needed to make sense of it (documentation, schemas, ...)

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WG Notes: A data preservation section was included in the document. http://w3c.github.io/dwbp/bp.html#dataPreservation

Resolution: A data preservation section was included in the document. http://w3c.github.io/dwbp/bp.html#dataPreservation

(Please make sure the resolution is adapted for public consumption)