Edit comment LC-3030 for Data on the Web Best Practices Working Group

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Comment LC-3030

Comment Shortname:

Commenter: Maurino Andrea <maurino@disco.unimib.it>

Message-id:

Section of the document concerned:

[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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Refinement of the section concerned:

Status:

open proposal pending resolved_yes resolved_no resolved_partial other assigned to Nobody

Type: substantive editorial typo question general comment undefined

Resolution status:

Response drafted Resolution implemented Reply sent to commenter

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No response from Commenter yet Commenter approved disposition Commenter objected to disposition
Commenter's response (URI):

Comment:

Issue 7 I suggest to draw some strategies related to how attach quality information. In some case such information are defined inside data (for example when the time of last modification of an item is part of the dataset itself), in other situations there are the need to express quality dimensions related to schema description only (e.g. conciseness of schema) , or related to the dataset. I also suggest (but it is clear that I'm a little biased on such topic :) ) to better describe how to describe the quality information (including quality dimensions, adopted quality metric, and quality value see for example as starting point [1])

Related issues: (space separated ids)

WG Notes:

Resolution: To keep this discussion for the Quality and Granularity Vocabulary document.

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