Date: 15. September 2020
Time: 15:30 - 17:00 hrs (CEST)
Presentation 1 - EngMeta and metadata creator ‘Extracting’ - Dorothea Iglezakis (Competence Centre for research Data -University of Stuttgart) and Björn Schembera (High Performance Computing Center Stuttgart - HLRS)
EngMeta is an XML-based formal definition of information necessary to find, understand, reproduce and reuse data from engineering disciplines. The schema was defined together with engineers from aerodynamics and thermodynamics and lies a focus on computational engineering, but is general enough to cover other engineering disciplines. EngMeta defines metadata-fields for the description of the components of the observed system (object of research), the observed variables, the spatial and temporal resolution of the observation and the steps taken in the research process to generate, process, analyse and visualize the data. It is based on existing standards like DataCite, PREMIS, CodeMeta and ExptML and is implemented as two metadata blocks for repositories based on the open-source repository platform Dataverse. The content model of EngMeta currently flows into the development of an ontology for engineering data within the Metadata4Ing working group within NFDI4Ing, a german consortium for research data management in Engineering.
ExtractIng is a prototypical tool developed at the HLRS to parse existing metadata out of textual files like input or log-files and convert this information into the EngMeta-Scheme. It can be used to automate metadata capture within the research process. ExtractIng is configurable in a very flexible way to support different input formats.
Presentation 2 - DTU Wind energy metadata and terminology - Nikola Vasiljevic (DTU Wind Energy - RDA Ambassador)
The main focus of the wind energy domain is to provide practical solutions that will result in cost-effective electricity produced from the wind. To achieve such goals, the wind energy domain is characterized as a multi-disciplinary domain, reusing, mixing and contributing to solutions in fields of Earth Sciences, Mechanical and Electrical Engineering, Material Science, Computer Science and Social Science. Due to multidisciplinarity it is essential to establish common terminology to boost sharing and reuse of data, and general understanding across the domain.
In 2017, through the international collaboration with domain experts, several wind energy related taxonomies (e.g., research topics, external conditions, etc.) were developed to enable better description of published datasets. These taxonomies have been initially implemented in 2018 in DTU Data (university instance of figshare), and later in sharewind (instance of b2share). Recently, in the Marinet2 project we have proposed metadata schemas , by generalizing seadatanet standard, for data streams (i.e., recorded parameters) and datasets (collection of data streams) for preparing datasets in NetCDF format for publishing and preservation. To establish a controlled vocabulary of parameters, and thus assure same naming convention across datasets, we are fusing existing vocabularies from Earth Ocean domain (e.g., CF standard name convention, BODC) and terminologies used in IEC standards for wind turbine performance assessment. Follow up steps will be to build a collection of ‘standards’ for wind energy domain under FAIRsharing.org, work towards their implementation during the AWAKEN project, disseminate them through IEA Wind and EERA JP WIND.
Any questions/further information please email: firstname.lastname@example.org (IG-RDMinEng)