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OPEN SCIENCE: SHARING DATA, TOOLS AND WORKFLOWS A STRATEGY TO INSPIRE EFFICIENT COLLABORATION
OPEN SCIENCE: SHARING DATA, TOOLS AND WORKFLOWS A STRATEGY TO INSPIRE EFFICIENT COLLABORATION
The H2020 Work Programme is a milestone for the transition to Science 2.0: the era of Open Science (OS) will increase the drive towards collaboration through knowledge sharing across the European Research Area. In particular, the Open Data (OD) policy aims at making digital assets, i.e. data, tools and workflows FAIR (Findable, Accessible, Interoperable and Re-usable) [1]: available to everyone in Europe. FAIR assets allow to reuse data in multiple applications which multiplies the data value thus optimizing the impact of projects funded by public money. NO PANIC: to respect Industry foregrounds Research data must be as open as possible and as closed s necessary! The wind energy community generally agrees that sharing assets would shorten the time from new ideas to innovation, making the work more efficient; BUT assets provide a competitive advantage, leading to a reluctance to sharing important data. WHAT TO DO THEN? We suggest a simple strategy to energize the free flow of information amongst the European wind energy stakeholders, increasing collaboration by sharing research data including data, software and workflows.
{"references": ["Sempreviva, A. M., Vesth, A., Bak, C., Verelst, R. D., Giebel, G., Danielsen, K. H., et al. (2017). Taxonomy and metadata for wind energy Research & Development (p. 28).", "Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016)."]}
Poster Award in section Wind Energy Digitalization at the WindEurope 2019 Conference, Pamplona, 2-4 April 2019. The authors acknowledge DTU Wind Energy funding from the Cross-cutting actions on digitalization
- Technical University of Denmark Denmark
FAIR data, Open data, Workflow efficiency, Wind Energy
FAIR data, Open data, Workflow efficiency, Wind Energy
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 15 download downloads 9 - 15views9downloads
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