- Primary Domain: Natural Sciences
- Group Focus: Data Management, Disseminate, Link, and Find
- Group Technology Focus: Performing Research
- RDA Pathways: Other
Group Description
The goal of the WG is to reduce data management overhead within and between organisations working with wind energy. This will be done by firstly creating a recommendation “Guidelines for improving FAIR data maturity in wind energy in practice”. This will then be used to create a wind energy FAIR Implementation Profile (FIP)1 , which is a methodology developed within the GO FAIR initiative. FIP will give the scientific and research communities the opportunity to express their choices of standards, technologies, tools and procedures by which they fulfil the FAIR principles.
We will achieve these goals by first reviewing and evaluating the current data sharing and publishing landscape in wind energy. This landscaping step will be based on a review paper we recently wrote about knowledge engineering in wind energy [1], but will extend the review of semantic artefacts to data sharing and publishing in general. For example, we will verify to which degree these artefacts can be described using the available controlled vocabularies. This includes, for example the WEAVE and NEAT controlled vocabularies, as well as the Task 43 WRA Data Model [1]. We will also will apply the “FAIR Data Maturity Model” [2] and the “Guidelines for publishing structured metadata on the Web” [3] to a choice of existing open data sets as well as data with access restrictions provided to WG members by commercial organisations such as wind farm owner/operators or service providers or governmental organisations (maintaining confidentiality). The choice of datasets will be made by taking a range of different data sets across the wind energy project lifecycle at different FAIRness levels based on the results of the above-mentioned review.
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Rationale Summary
The goal of the WG is to reduce data management overhead within and between organisations working with wind energy. This will be done by firstly creating a recommendation “Guidelines for improving FAIR data maturity in wind energy in practice”. This will then be used to create a wind energy FAIR Implementation Profile (FIP)1 , which is a methodology developed within the GO FAIR initiative. FIP will give the scientific and research communities the opportunity to express their choices of standards, technologies, tools and procedures by which they fulfil the FAIR principles.
We will achieve these goals by first reviewing and evaluating the current data sharing and publishing landscape in wind energy. This landscaping step will be based on a review paper we recently wrote about knowledge engineering in wind energy [1], but will extend the review of semantic artefacts to data sharing and publishing in general. For example, we will verify to which degree these artefacts can be described using the available controlled vocabularies. This includes, for example the WEAVE and NEAT controlled vocabularies, as well as the Task 43 WRA Data Model [1]. We will also will apply the “FAIR Data Maturity Model” [2] and the “Guidelines for publishing structured metadata on the Web” [3] to a choice of existing open data sets as well as data with access restrictions provided to WG members by commercial organisations such as wind farm owner/operators or service providers or governmental organisations (maintaining confidentiality). The choice of datasets will be made by taking a range of different data sets across the wind energy project lifecycle at different FAIRness levels based on the results of the above-mentioned review.
Secretariat Liason(s)
Bridget WalkerGroup Visibility
PublicGroup Creation Date
02/02/2024Endorsement Date
04/04/2024Estimated End Date
04/10/2025Actual End Date
Group Email
wind-energy@rda-groups.org
- Group Type: Working Group
- Group Status: recognised-and-endorsed
- Co-Chair(s): Sarah Barber, Shawn Sheng
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