Search Results
BEXIS2: A FAIR-aligned data management system for biodiversity, ecology and environmental data
2021, Chamanara, Javad, Gaikwad, Jitendra, Gerlach, Roman, Algergawy, Alsayed, Ostrowski, Andreas, König-Ries, Birgitta
Obtaining fit-to-use data associated with diverse aspects of biodiversity, ecology and environment is challenging since often it is fragmented, sub-optimally managed and available in heterogeneous formats. Recently, with the universal acceptance of the FAIR data principles, the requirements and standards of data publications have changed substantially. Researchers are encouraged to manage the data as per the FAIR data principles and ensure that the raw data, metadata, processed data, software, codes and associated material are securely stored and the data be made available with the completion of the research.
RADAR - A repository for long tail data
2015, Kraft, Angelina, Neumann, Janna
The way knowledge is shared is experiencing a paradigm shift: Digital networks allow new degrees of openness for research and its resources, accompanied by a huge potential for scientists, inventors, industry and the general public. Accessible data will allow all groups to participate in innovation and value creation regardless of their geographical location or individual background. However, for researchers who are evaluated by their academic performance and scientific excellence, there is a fine balance between benefits and concerns regarding the openness of resources such as knowledge and data. With the Research Data Repository (RADAR) project we provide solutions to maintain this balance: In RADAR, an interdisciplinary infrastructure for the preservation, publication, creditability and traceability of research data from the fields of the 'long tail of science' is developed. Here we present the first RADAR prototype: A robust, generic end-point data repository which enables clients to preserve research results up to 15 years and assign well-graded access rights, or to publish and preserve data with a DOI assignment for an unlimited period of time. Potential clients include libraries, research institutions, publishers and open platforms which require an adaptable digital infrastructure to archive and publish data according to their institutional needs and workflows. In a nutshell, RADAR can help clients to handle following issues: - Secure storage of research data. - Preservation of information after a project is completed, a grant ends or employees leave. - Traceable and citable data publication across communities via a discipline-agnostic metadata scheme. - Ensuring that data are ‘stable’ after publication e.g. to allow accurate comparisons later. - Provision of data management services for their customers up front while using RADAR as a back-end system.
Archivierung und Publikation von Forschungsdaten: Die Rolle von digitalen Repositorien am Beispiel des RADAR-Projekts
2016, Kraft, Angelina, Razum, Matthias, Potthoff, Jan, Porzel, Andrea, Engel, Thomas, Lange, Frank, van den Broek, Karina
Disziplinübergreifendes Forschungsdatenmanagement für Hochschulbibliotheken und Projekte zu vereinfachen und zu etablieren – das ist das Ziel von RADAR. Im Sommer 2016 geht mit ‚RADAR – Research Data Repository‘ ein Service an den Start, der Forschenden, Institutionen verschiedener Fachdisziplinen und Verlagen eine generische Infrastruktur für die Archivierung und Publikation von Forschungsdaten anbietet. Zu den Dienstleistungen gehören u. a. die Langzeitverfügbarkeit der Daten mit Handle oder Digital Object Identifier (DOI), ein anpassbares Rollen- und Zugriffsrechtemanagement, eine optionale Peer-Review-Funktion und Zugriffsstatistiken. Das Geschäftsmodell ermutigt Forschende, die anfallenden Nutzungsgebühren des Repositoriums in Drittmittelanträge und Datenmanagementpläne zu integrieren. Publizierte Daten stehen als Open Data zur Nachnutzung wie etwa Data Mining, Metadaten-Harvesting und Verknüpfung mit Suchportalen zur Verfügung. Diese Vernetzung ermöglicht ein nachhaltiges Forschungsdatenmanagement und die Etablierung von Dateninfrastrukturen wie RADAR.
Knowledge Graphs - Working Group Charter (NFDI section-metadata) (1.2)
2023, Stocker, Markus, Rossenova, Lozana, Shigapov, Renat, Betancort, Noemi, Dietze, Stefan, Murphy, Bridget, Bölling, Christian, Schubotz, Moritz, Koepler, Oliver
Knowledge Graphs are a key technology for implementing the FAIR principles in data infrastructures by ensuring interoperability for both humans and machines. The Working Group "Knowledge Graphs" in Section "(Meta)data, Terminologies, Provenance" of the German National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur (NFDI) e.V.) aims to promote the use of knowledge graphs in all NFDI consortia, to facilitate cross-domain data interlinking and federation following the FAIR principles, and to contribute to the joint development of tools and technologies that enable transformation of structured and unstructured data into semantically reusable knowledge across different domains.
The RADAR Project - A Service for Research Data Archival and Publication
2016, Kraft, Angelina, Razum, Matthias, Potthoff, Jan, Porzel, Andrea, Engel, Thomas, Lange, Frank, van den Broek, Karina, Furtado, Filipe
The aim of the RADAR (Research Data Repository) project is to set up and establish an infrastructure that facilitates research data management: the infrastructure will allow researchers to store, manage, annotate, cite, curate, search and find scientific data in a digital platform available at any time that can be used by multiple (specialized) disciplines. While appropriate and innovative preservation strategies and systems are in place for the big data communities (e.g., environmental sciences, space, and climate), the stewardship for many other disciplines, often called the “long tail research domains”, is uncertain. Funded by the German Research Foundation (DFG), the RADAR collaboration project develops a service oriented infrastructure for the preservation, publication and traceability of (independent) research data. The key aspect of RADAR is the implementation of a two-stage business model for data preservation and publication: clients may preserve research results for up to 15 years and assign well-graded access rights, or to publish data with a DOI assignment for an unlimited period of time. Potential clients include libraries, research institutions, publishers and open platforms that desire an adaptable digital infrastructure to archive and publish data according to their institutional requirements and workflows.