Talk:WS1UC4: Difference between revisions

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Małgorzatam (talk | contribs)
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* difference between terms in different languages - how to align the wording and taxonomy
* difference between terms in different languages - how to align the wording and taxonomy
* COMETS --> still needs FAIRification, so going from all red to all green. Database is not so complicated, so may be a good example / case for works.
* IEA Policy Database --> second to be chosen, it's close to FAIR. The main problem was with PIDs.

Revision as of 09:58, 3 June 2020

  • Perhaps, we should decide initially, if we want to only focus on databases that actually contain information on policies or if we want to include databases that include information that is not directly related to policies, but can provide information that is useful for the development of policies? E.g. The COMETS database does not contain information on policies directly, but the information contained in the COMETS database could be valuable for policy development.
  • good point we have policy relevant databases and data bases with policy, but for sure both of them are important regarding the topic of uc
  • i'm thinking about IEA Policy database regarding the use case it's fit perfect


I have started segmenting databases into 2 categories:

  1. policy relevant databases, eg. COMETS, EU Merci,
  2. policy databases, eg. IEA Policy database, EUR-Lex, OECD, MURE

From both categories, the most suitbale databases may be chosen. This will enable us to have a full spectrum - how energy policies may use both types of databases.

i'm thinking about IEA Policy database regarding the use case it's fit perfect


  • Maria: My proposition is IEA Policy Database. We already have the decription and rationale for choosing this database. My proposion of assesment is: F1: 50%, F2: 100%, F3: 100%, F4: 100%, A1: 100% A1.1: 100%, A2: 100%, I1: ? I2:? I3: 100%, R1: 100%, R1.1: 100%, R1.2. 100%, R1.3: 50%
  • difference between terms in different languages - how to align the wording and taxonomy
  • COMETS --> still needs FAIRification, so going from all red to all green. Database is not so complicated, so may be a good example / case for works.
  • IEA Policy Database --> second to be chosen, it's close to FAIR. The main problem was with PIDs.