54 research outputs found
IAM4NFDI â Identity Management Service for NFDI
An overview of the current status of the IAM4NFDI, one of the base services provided by Base4NFDI.Funded by DFG as part of NFDI. Grant Numbers: 521453681, 521460392, 521462155, 521463400, 521466146, 521471126, 521473512, 521474032, 521475185, 52147623
Exploiting FAIR Data to Enhance Data Analysis
In times of continuously increasing data intensive research, good management of data becomes inevitable. This talk outlines some technologies and Coscine as a tool that are available to researchers to manage their data according to the FAIR principles and to make the best use of it.NFDI-MatWerk is funded as part of the National Research Data Infrastructure (NFDI) following a recommendation of the German Joint Science Conference (GWK). The funding is provided by the Federal Government and the Heads of Government of the LĂ€nder and managed by the German Research Foundation (DFG) - project number 460247524
Digital Materials Environment â An Architecture and Tools based on FAIR Digital Objects for the NFDI-MatWerk
The NFDI-MatWerk consortium, a part of the German National Research Data Infrastructure, focuses on serving the Material Science community. Within the consortium the Task Area Materials Data Infrastructure develops the Digital Materials Environment (DME) to offer access to data storage, sharing, searching, and analysis capabilities based on "off-the-shelf" and "enterprise ready" hardware and software building blocks. This presentation showcases the implementation of the DME through integrated platforms (Coscine and MatWerk Data Repository), tools for creating FAIR Digital Objects (FDO Maker), and exploration tools (FAIR-DOscope). These implementations align with the recommended FAIR Digital Objects concept by the RDA and the European Commission. By combining service offerings and installable applications, the FAIR principles can be effectively incorporated into existing research data infrastructures based on enterprise solutions. The results presented adhere to W3C standards and are currently undergoing evaluation within the participant projects of the NFDI-MatWerk consortium.NFDI-MatWerk is funded as part of the National Research Data Infrastructure (NFDI) following a recommendation of the German Joint Science Conference (GWK). The funding is provided by the Federal Government and the Heads of Government of the LĂ€nder and managed by the German Research Foundation (DFG) - project number 460247524
Interactive Web Pages with GitLab (âŠ, R and Shiny)
A condensed wrap-up of how to use GitLab and GitLab Runner to create static interactive web pages for research data.NFDI4Ing is funded as part of the National Research Data Infrastructure (NFDI) following a recommendation of the German Joint Science Conference (GWK). The funding is provided by the Federal Government and the Heads of Government of the LĂ€nder and managed by the German Research Foundation (DFG) - project number 442146713.
FAIR Data Spaces is funded by Bundesministerium fĂŒr Bildung und Forschung under funding reference FAIRDS1
Forschungsdaten managen â Bausteine fĂŒr eine dezentrale, forschungsnahe UnterstĂŒtzung
(Inter-)Nationale Infrastrukturen fĂŒr Forschungsdaten sind aktuell im Entstehen begriffen. Zentrale Infrastruktureinrichtungen mĂŒssen aber bereits jetzt den Bedarf der Wissenschaftlerinnen und Wissenschaftler der eigenen UniversitĂ€t nach forschungsnaher UnterstĂŒtzung erfĂŒllen. Gemeinsam ist beiden, dass erst die fachspezifische Anpassung und AusprĂ€gung des Forschungsdatenmanagements (FDM) zu einer wirklichen UnterstĂŒtzung fĂŒr die Forschenden fĂŒhrt. Aktuell sind gerade die Plattformen erfolgreich, die ganz auf die BedĂŒrfnisse einer wissenschaftlichen Community ausgerichtet sind. Analog ist die Situation an der RWTH Aachen University ebenfalls durch Vielfalt und DezentralitĂ€t geprĂ€gt. Die einzelnen Institute und LehrstĂŒhle sind unterschiedlich weit bei der UnterstĂŒtzung ihrer Forschenden. Wie können zentrale Infrastruktureinrichtungen wie die Bibliothek und das Rechenzentrum in diesem Kontext UnterstĂŒtzung leisten? Dieser Beitrag stellt das bausteinbasierte Lösungskonzept der RWTH vor, benennt konkrete Dienste, die zentral angeboten werden, und argumentiert, warum technologieunabhĂ€ngige, prozessorientierte Schnittstellen geeignet sind, um forschungsnahe UnterstĂŒtzung sicherzustellen und sich zugleich in die gerade in der Entstehung befindlichen (inter-) nationalen Forschungsdaten-Infrastrukturen einzubringen
A push for better RDM
Die Versionskontrollsoftware git und die Serversoftware GitLab wurden fĂŒr die Softwareentwicklung konzipiert, ermöglichen aber auch kooperatives Arbeiten an Forschungsdaten entlang der FAIR-Prinzipien, beides elementare Herausforderungen im Forschungsdatenmanagement (FDM). Koordiniert durch die Landesinitiative fdm.nrw wurden in den vergangenen Jahren daher AblĂ€ufe und Schulungen zum FDM mit git und GitLab erprobt und durchgefĂŒhrt.
Eine HĂŒrde bei der Verwendung von git und GitLab im FDM kann die Anwendung der zugrundeliegenden Software mittels Kommandozeilenbefehlen darstellen. Zwar wird das VerstĂ€ndnis der VersionierungsvorgĂ€nge erhöht, einige Forschende bevorzugen aber die intuitiven graphischen Interfaces. In jedem Fall ist fĂŒr die Adaption Einarbeitungszeit einzuplanen. FĂŒr datengetriebene Forschung werden Versionsverwaltung und andere Digitalkompetenzen mittelfristig einen ebenso hohen Stellenwert wie das âwissenschaftliche Schreibenâ im Bereich der Sprachkompetenzen einnehmen mĂŒssen.
Es gilt daher zunĂ€chst ein grundlegendes VerstĂ€ndnis fĂŒr git und die Möglichkeiten zur Nutzung im FDM darzustellen. ErgĂ€nzend zu etablierten Schulungen wurden kurze, konkrete Beispiele in einer Best Practice Sammlung zusammengetragen: öffentliche GitLab-Projekte realisieren und dokumentieren einzelne AnwendungsfĂ€lle mit Hilfe der gebotenen Werkzeuge. Dadurch soll die Anwendungs- und Digitalkompetenz der Forschenden, aber auch der Infrastrukturmitarbeitenden und der Schulenden gesteigert werden und so git und GitLab zu einer besseren Umsetzung des FDM beitragen
NFDI MatWerk / Materials Data Infrastructure
The German National Research Data Infrastructure (NFDI) aims to systematically develop sustainably secure and make accessible the data holdings of science and research. It is being established as a networked structure of consortia acting on their own initiative. In NFDI-MatWerk, a reliable digital platform for the materials and nanosciences is being established, which enables the digital representation of materials data and specific metadata. Within NFDI-MatWerk the Task Area Materials Data Infrastructure will provide services to easily store, share, search, and analyze data and metadata while ensuring data integrity, provenance, and authorship.
The concept of FAIR Digital Objects, developed in the Research Data Alliance and in the FAIR Data Commons of HMC, will be utilized to represent data objects. Data sets and metadata documents will be stored in research data repositories and metadata repositories, respectively.
Metadata is one of the key elements to implement both human-readable as well as machine-actionable representations of materials-related information. Additional services will be provided for metadata enrichment and annotation, harvesting and indexing, as well as for documenting the provenance of the data objects. Collections of FAIR Digital Objects will be fed into a knowledge graph based on relevant Materials Science and Engineering ontologies connecting materials information and data.
Web front-ends will provide access to data, optimized for the particular perspectives of the user groups. Support and training will be provided for the use as well as the operation of the Materials Data Infrastructure services and tools.
First adopters of the research data and metadata infrastructures are participant projects providing data sets from various fields that will be transformed into exemplary reference data sets.
This research has been supported by the research program âEngineering Digital Futuresâ of the Helmholtz Association of German Research Centers, the Helmholtz Metadata Collaboration (HMC) Platform, the German National Research Data Infrastructure (NFDI), and the German Research Foundation (DFG)
Conceptual Map of TA-MDI Results
The poster shows a conceptual map of the results offered or under development in the Task Area Materials Data Infrastructure (TA-MDI) of the NFDI-MatWerk consortium. The results are associated to the most relevant Participant Projects (PPs) and Infrastructure Use Cases (IUCs) in which they have been already adopted or they are planned to be used in future. In this way, a structured overview of the TA-MDI contributions is depicted
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