Open ChLaaboudi opened 2 years ago
@ChLaaboudi in coos there are classes that could represent datasets and organisations. Legal basis and methodologies could be documents (prov:entity) that would be produced by activities that would probably fall under corporate support or strategy and leadership of GAMSO. how would you model the subject area, some kind of statistical activity area ?
@flo7894
Statistical Activity Areas can be modelled in SKOS/XKOS.
In XKOS,
Hi @flo7894, When you'll have time, may I ask you to add the conclusions of our meeting from 19/05? Thanks a lot, Christine
Thanks @flo7894 for the update.
About Subject Area : CSA. If Eurostat implements the CSA as a ConceptScheme, the resources will be defined in the namespace data.europa.eu. It will be more relevant if the namespace is defined in the COOS, UNECE or UNSD domain.
Responsible Unit: see dataset https://showvoc.op.europa.eu/#/datasets/ESTAT_Statistical_Organisations_Unit/data
In your schema, references to the Legal basis or Methodology are missing.
Eurostat has a skos:ConceptScheme for Legal Acts and one for Methodologies. In GSIM revision a class has been introduced "Reference Documents". In issue #78 there is a proposition to introduce a property coos:informs. With these we could represent Legal Acts and Methodologies at the program level or dataset level
It is also possible with prov using a prov:Association
If GSIM class "Reference Document" is to be added in COOS, GSIM currently has following definition and explanatory text:
which is in line with Florian's diagram above
Following 9/7 meeting: Florian to write a "COOS use case" document summarizing use case and proposed solution.
The Statistical Compendium is a reference tool for producers of official statistics. The Compendium is organised by Statistical Subject Areas, derived from the CSA (Classification of Statistical Activities). Each subject area is described with the following components:
For some section, a dataset exists (Yellow Circle in the picture).
The Use Case will consist of representing a Statistical Subject Area linked with its components.