Taxonomy and metadata for wind energy Research &Development

The Open Access (OA) to knowledge is a principle established by the European Commission, underlying the H2020 EU Framework Programme for Research and Innovation. OA aims at optimizing the impact of publicly funded projects, by making information openly available and reusable to everyone in Europe. The Open Data (OD) policy is part of the OA strategy and is widely acknowledged as a fundamental step to support a fast track from research to innovation. Although there is a general acknowledgment for the need of OD, a mindset similar to the "not-in-my-backyard" holds back the scientific and industrial communities to implement a joint OD policy. This is partly due to the fear that sensitive and proprietary data could be misused.
To overcome this problem, the European Commission posed an important milestone by declaring that data must be at the same time “Findable, Accessible, Interoperable and Reusable (FAIR)” and “as much open as possible, and as closed as necessary”.

The Joint Programme on Wind Energy of the European Energy Research Alliance (EERA JPWind), represents the largest public European scientific community in the Wind Energy (WE) sector. JP WIND recognises the necessity of implementing an OD plan by setting the goal to create a data portal. The data portal will a) collect information on data from “cloud distributed” data centers, b) catalogue the collected information and c) provide end-users with tools to find data for their needs.
In this report, we focus on the first phase that lays the basis for the implementation of a Data Web Portal i.e. the information architecture to make data Findable and Interoperable. 
The first phase relates to making data “Findable” and “Interoperable” helping data owners to describe the data and end-users to accurately locate and retrieve the needed data. There are two components for this task: (i) Metadata (data tagging) and (ii) taxonomy for the WE sector topics, the topic related data and descriptive types of metadata.