Search Results

Now showing 1 - 7 of 7
Loading...
Thumbnail Image
Item

Designing a Mobility Data Trustee (MDT) : Findings From a Multi-Disciplinary Analysis of Requirements of an MDT

2023, Czech, Andreas, Geenen, Vivien, Breß, Constantin, Turkovic Popovski, Marija, Krauß, Peter, Riedel, Till, Gauterin, Frank

A large amount of different data is currently collected in the mobility sector. However, due to technical, legal, and economic hurdles, it cannot be made usable. The "TreuMoDa" project, in which a Mobility Data Trustee (MDT) is being designed and tested as a prototype in the autonomous driving test area in Baden-Württemberg, provides a solution to this problem. Data trustees are a pioneering option to enable cross-sectoral data exchange between different actors from industry, science, and society. We provide an insight into the concept of the MDT. Specifically, the requirements of various stakeholders from the automotive industry, software developers, infrastructure, cities, and transport companies are analyzed with regard to the expected organizational, legal, and technical functions of such an MDT. The concept of a data trustee is particularly relevant to research data infrastructures, as it can enable the flow of data from research to industry and vice versa. Our work therefore also will look at the MDT as part of a larger research data management scheme.

Loading...
Thumbnail Image
Item

RADAR: Building a FAIR and Community Tailored Research Data Repository

2023, Bach, Felix, Soltau, Kerstin, Göller, Sandra, Bonatto Minella, Christian, Hofmann, Stefan

The research data repository RADAR is designed to support the secure management, archiving, publication and dissemination of digital research data from completed scientific studies and projects. Developed as a collaborative project funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (2013-2016), the system is operated by FIZ Karlsruhe - Leibniz Institute for Information Infrastructure - and currently serves as a generic cloud service for about 20 universities and non-university research institutions. Since its launch, RADAR has witnessed significant changes in the landscape of research data repositories and the evolving needs of researchers, research communities and institutions. In our presentation within the “Enabling RDM” Track, we will show how RADAR is responding to these dynamic changes. In order to create a sufficiently large user base for the sustainable operation of the system, we have moved RADAR away from its previous single focus on a discipline-agnostic cloud service and towards a demand-driven functional optimisation. In 2021, we introduced an additional operating model for institutions (RADAR Local), where we operate a separate RADAR instance locally at the institution site exclusively using the institutional IT-infrastructure. In 2022 we opened up RADAR to new target groups with community-specific service offerings, in particular in the context of the National Research Data Infrastructure (NFDI). Beside the expansion of the functional scope, our ongoing development work focuses also on strengthening the system's support for the FAIR principles [1] and the concepts of FAIR Digital Objects (FDO) [2] and Schema.org. Our presentation will outline recent RADAR developments and achievements as well as future plans thus providing solutions and synergy potential for the scientific community and for other service providers.

Loading...
Thumbnail Image
Item

Digitalizing the Chemical Landscape: A Comprehensive Overview and Progress Report of NFDI4Chem

2023, Koepler, Oliver, Steinbeck, Christoph, Bach, Felix, Herres-Pawlis, Sonja, Jung, Nicole, Liermann, Johannes, Neumann, Steffen, Razum, Matthias

The Chemistry consortium NFDI4Chem aims to digitalise key steps in chemical research, supporting scientists in managing research data throughout its life cycle. The SmartLab, embedded in a federation of services, integrates various tools such as electronic lab notebooks, data repositories, and search services, to create a smart lab environment for structured data gathering. Utilizing terminology services and adhering to data format standards, NFDI4Chem promotes secure and FAIR data sharing, fostering collaboration and expediting scientific discoveries. This development is supported by community building measures, workshops, and training initiatives, along with collaboration on international minimum information standards.

Loading...
Thumbnail Image
Item

Data Steward Service Center (DSSC): FAIRagro RDM-Expertise Hub

2023, Svoboda, Nikolai, Vedder, Lucia, Böhm, Franziska, Möller, Markus, Rey-Mazón, Elena, Schmidt, Marcus, Lindstädt, Birte, Stahl, Ulrike

The Data Steward Service Center (DSSC) is the central institution within FAIRagro to develop data management tools based on the needs of the scientific community. The DSSC organizes the continuous exchange of RDM knowledge and experience with other institutions, channels user requests from the community, and transfers knowledge from the FAIRagro task areas to the FAIRagro data stewards. FAIRagro data stewards are experts in the field of RDM for agrosystems research supervising and will train data curators in our community. Data stewards have core competencies in research data management (e.g., cross-scale from genes, phenomics, management to region; sensitive data, remote sensing, time series, plant, soil and related FAIRagro data). Knowledge and expertise is pooled to provide the full range of expertise to the community in one place to foster the coalescence of the community. The DSSC is headed by a coordinator and will house five data stewards, who are active in the community e.g. train data curators, give legal support. In the course of the project, further institutional or project data stewards will be integrated and the pool of experts will be further expanded. The network to the other NFDI consortia is continuously growing.

Loading...
Thumbnail Image
Item

The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI

2023, Rossenova, Lozana, Schubotz, Moritz, Shigapov, Renat

The Strategic Research and Innovation Agenda (SRIA) of the European Commission identifies Knowledge Graphs (KGs) as one of the most important technologies for building an interoperability framework and enabling data exchange among users across countries, sectors, and disciplines [1]. KG is a graph-structured knowledge base containing a terminology (vocabulary or ontology) and data entities interrelated via the terminology [2]. KGs are based on semantic web technologies (RDF, SPARQL, etc.) and often used for agile data integration. KGs also play an essential role within Germany as a vehicle to connect research data and research-related entities and make those accessible – examples include the GESIS Knowledge Graph Infrastructure, TIB Open Research Knowledge Graph, and GND.network. Furthermore, the Wikidata knowledge graph, maintained by Wikimedia Germany, contains a large number of research-related entities and is widely used in scientific knowledge management in addition to being an important advocacy tool for open data [3]. Extending domain-specific ontology-supported KGs with the multidisciplinary, crowdsourced knowledge in Wikidata KG would enable significant applications. The linking between expert knowledge systems and world knowledge empowers lay persons to benefit from high-quality research data and ultimately contributes to increasing confidence in scientific research in society.

Loading...
Thumbnail Image
Item

Harmonising, Harvesting, and Searching Metadata Across a Repository Federation

2023, Neumann, Steffen, Bach, Felix, Castro, Leyla Jael, Fischer, Tillmann, Hofmann, Stefan, Huang, Pei-Chi, Jung, Nicole, Katabathuni, Bhavin, Mauz, Fabian, Meier, René, Nainala, Venkata Chandra Sekhar, Rayya, Noura, Steinbeck, Christoph, Koepler, Oliver

The collection of metadata for research data is an important aspect in the FAIR principles. The schema.org and Bioschemas initiatives created a vocabulary to embed markup for many different types, including BioChemEntity, ChemicalSubstance, Gene, MolecularEntity, Protein, and others relevant in the Natural and Life Sciences with immediate benefits for findability of data packages. To bridge the gap between the worlds of semantic-web-driven JSON+LD metadata on the one hand, and established but separately developed interface services in libraries, we have designed an architecture for harmonising, federating and harvesting metadata from several resources. Our approach is to serve JSON+LD embedded in an XML container through a central OAI-Provider. Several resources in NFDI4Chem provide such domain-specific metadata. The CKAN-based NFDI4Chem search service can harvest this metadata using an OAI-PMH harvester extension that can extract the XML-encapsulated JSON+LD metadata, and has search capabilities relevant in the chemistry domain. We invite the community to collaborate and reach a critical mass of providers and consumers in the NFDI.

Loading...
Thumbnail Image
Item

“Hello ELSA, how are you?” : Legal and Ethical Challenges in RDM, Current and Future Tasks of ELSA Activities Against the Background of AI and Anonymisation

2023, Boehm, Franziska, Sax, Ulrich, Vettermann, Oliver, Kamocki, Paweł, Stoilova, Vasilka

The proposed contribution will shed light on current and future challenges on legal and ethical questions in research data infrastructures. The authors of the proposal will present the work of NFDI’s section on Ethical, Legal and Social Aspects (hereinafter: ELSA), whose aim is to facilitate cross-disciplinary cooperation between the NFDI consortia in the relevant areas of management and re-use of research data.