Anna Maria Sempreviva FAIR IMPACT ON IEAWIND ENERGY TASKS Date 17 June

Anna Maria Sempreviva FAIR IMPACT ON IEAWIND ENERGY TASKS Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research 1

OPEN SCIENCE: SHARING DATA, TOOLS AND WORKFLOWS A STRATEGY TO INSPIRE EFFICIENT COLLABORATION TERMINOLOGY Research Data Data, Codes, Workflows (Academia) Digital Object (RDA) Assets (Industry) Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research 2

FAIR data principle in sharing: Ideas meet data Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research 3

ACCESSIBLE? DO NOT PANIC! Only data funded by H2020 and/or public funders Findable does not mean directly accessible. Data must be as open as possible as closed as necessary WHAT TO DO? Clearly state IP protected Backgrounds and Foregrounds in the Data Management Plan Elaborate a Strategy for making data Findable but not directly accessible Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research 4

FAIR data sharing: the stakeholders The data owner demands: Control on data as assets Recognition Protection of competitive advantage The data user needs: Improved efficiency Money saving But willing to expose his data Willing to sign NDAs & reward Control – Recognition – Visibility – Efficiency - Reward Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research

1st Problem: data are not findable Datasets are spread in the “cloud”, saved and organized in different ways Datasets often miss documentation (Metadata) Data is meaningless without Metadata Action: Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Create metadata standards for domains Create controlled vocabularies (Taxonomies) for specific metadata Tag data with taxonomy Design a data portal with metadata catalogues Fair data principle in wind energy research

Metadat a Dublin Core (DC) metadata element set Topic Taxonomy: Core elements Wind power plant ACCESS RIGHTS Additional Metadata 7 specific taxonomies as Controlled Vocabularies to describe the Wind Energy data Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research 7

Metadata catalogue ADVANTAGES Data are visible without being accessible No uploading data and storage By applying filters users can accurately locate needed data Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research

Creating a taxonomy Expert licitation 8 Experts from DTU were engaged in the task of creating taxonomy for WE topics Results were submitted and discussed to the IRPWind core group from Forwind, CENER, ECN, SINTEF Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland L O R T N O C D E L L U B A C VO Y R A Fair data principle in wind energy research

Conclusions: controlled data sharing Taxonomies and metadata: connecting stakeholders A web portal with a metadata catalog has potentiality to connect users to data owners Data owner /creator Data user Can choose from vocabularies the terms for describing data Can make visible data via metadata without uploading any data, and maintain control on data access Data Can find data accurately by searching the same terms used by the data owner Can retrieve information on available data Can save time dedicated to the task Market Place? ? Services? Co-creation? Metadata catalogue Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research

Future perspectives Integrating now disconnected high and specific low level taxonomies Dynamic Taxonomy: tracking new trends NEXT TALK 11 Date 17 June 2019 DTU – CENER WESC Conference – Cork Ireland Fair data principle in wind energy research