- From: Antoine Isaac <aisaac@few.vu.nl>
- Date: Fri, 8 May 2015 09:11:10 +0200
- To: Public DWBP WG <public-dwbp-wg@w3.org>
Dear all, Maybe this can be a part of my action: ACTION-153: Look at completeness as one of the quality dimensions Should we continue to keep the two following requirements: - R-DataMissingIncomplete: Publishers should indicate if data is partially missing or if the dataset is incomplete - R-QualityCompleteness: Data should be complete It seems that according to all we say on metadata best practice, if there's a quality criterion then publishers should try their best to publish metadtaa about it, and thus R-DataMissingIncomplete is redundant. Plus, in the current formulation of R-DataMissingIncomplete, I'm not sure I grasp the difference between "data is partially missing" and "the dataset is incomplete". What do you think? Best, Antoine
Received on Friday, 8 May 2015 07:11:38 UTC