A5056489452- Research Data Management Practices
- Scientific Computing and Data Management
- Semantic Web and Ontologies
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Species Distribution and Climate Change
- Distributed and Parallel Computing Systems
- Service-Oriented Architecture and Web Services
- demographic modeling and climate adaptation
- Geological Modeling and Analysis
- Business Process Modeling and Analysis
- Image Processing and 3D Reconstruction
- Environmental Monitoring and Data Management
- Environmental DNA in Biodiversity Studies
- Engineering Applied Research
- Peatlands and Wetlands Ecology
- Geochemistry and Geologic Mapping
- Nuclear Physics and Applications
- Environmental Impact and Sustainability
- Biomedical and Engineering Education
- Legal Systems and Judicial Processes
- Data Mining Algorithms and Applications
- Forest Ecology and Biodiversity Studies
- Libraries and Information Services
- Property Rights and Legal Doctrine
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
2024
GO FAIR Foundation
2022-2024
Helmholtz Centre for Environmental Research
2024
Environment Agency Austria
2019-2024
Juliana Kinderziekenhuis
2024
Hersenstichting
2023
CSC - IT Center for Science (Finland)
2023
Istituto per il Rilevamento Elettromagnetico dell'Ambiente
2023
Czech Technical University in Prague
2022
Vrije Universiteit Amsterdam
2022
The FAIR principles have been widely cited, endorsed and adopted by a broad range of stakeholders since their publication in 2016. By intention, the 15 guiding do not dictate specific technological implementations, but provide guidance for improving Findability, Accessibility, Interoperability Reusability digital resources. This has likely contributed to adoption principles, because individual stakeholder communities can implement own solutions. However, it also resulted inconsistent...
Safe and sustainable chemicals/materials are critical for achieving European green goals. The novel SSbD framework aims to harmonize assessments during innovation. Here, we discuss the essential role of FAIR data tools in operationalizing SSbD.
We present ten simple rules that support converting a legacy vocabulary—a list of terms available in print-based glossary or table not accessible using web standards—into FAIR vocabulary. Various pathways may be followed to publish the vocabulary, but we emphasise particularly goal providing globally unique resolvable identifier for each term concept. A standard representation concept should returned when individual is resolved, SKOS OWL serialised an RDF-based machine-interchange and...
The FAIR2Adapt European-funded project (grant number: 101188256) aims to transform data into actionable knowledge shape effective Climate Change Adaptation (CCA) strategies. By collaborating with the European Open Science Cloud (EOSC), we leverage its broad range of services and resources, aligning EOSC interoperability framework FAIR Implementation Framework Catalogue Resources. This collaboration enhances accessibility, interoperability, usability crucial environmental data, supporting...
Global climate change requires urgent and actionable adaptation planning.Current Climate Change Adaptation (CCA) strategies often lack the necessary data other relevant information to be scientifically competent. These limitations can complicate effective action evaluation locally, in combination with regions. The recently awarded FAIR2Adapt Project aims establish a comprehensive FAIR open framework for CCA demonstrate impact of on strategies. By making FAIR, will accelerate actions that are...
Numerous implementations of FAIR Digital Objects (FDOs) are actively emerging and being evaluated against FDO specifications. Here, we focus on the Nanopublication Framework as a possible implementation FDOs. Nanopublications unitary, standardised, self-contained RDF-based knowledge graphs consisting three subgraphs: an assertion graph that includes main content, provenance metadata graph, publication information graph. In thorough analysis specifications (represented by efforts Forum) based...
When researchers analyze data, it typically requires significant effort in data preparation to make the analysis ready. This often involves cleaning, pre-processing, harmonizing, or integrating from one multiple sources and placing them into a computational environment form suitable for analysis. Research infrastructures their repositories host available researchers, but rarely offer Published are persistently identified, such identifiers resolve onto landing pages that must be (manually)...
The FAIR principles articulate the behaviors expected from digital artifacts that are Findable, Accessible, Interoperable and Reusable by machines people. Although now widely accepted, Principles design do not explicitly consider actual implementation choices enabling behaviors. As different communities have their own, often well-established preferences priorities for data reuse, coordinating a broadly used approach remains global challenge. In an effort to accelerate broad community...
Powerful incentives are driving the adoption of FAIR practices among a broad cross-section stakeholders. This process must factor in numerous considerations regarding use both domain-specific and infrastructural resources. These be made for each Guiding Principles include supra-domain objectives such as maximum reuse existing resources (i.e., minimised reinvention wheel) or interoperation with data services. Despite complexity this task, it is likely that majority decisions will repeated...
FIP2DMP is a mapping resource between FAIR Implementation Profile (FIP) and Data Management Plan (DMP) template implemented in the Stewardship Wizard. The main benefit of this to facilitate easier adoption community choices from FIP by researcher their DMP.
Central for research is the capability to build on existing outcomes and aggregate data from different sources create new findings. This particularly true environmental research, which tries face global challenges like climate change biodiversity loss by integrating diverse long-term monitoring experimental data. Interoperability ability of computer systems exchange information but get a shared understanding meaning that semantic interoperability required. Shared between all parties involved...
Within the scope of Helmholtz Metadata Collaboration (HMC), ADVANCE project – Advanced metadata standards for biodiversity survey and monitoring data: supporting research conservation aimed at rich generation with interoperable semantic artefacts that facilitate data access, integration reuse across terrestrial, freshwater marine realms. HMC's mission is to discovery, machine-readability, beyond Association. We revised, adapted expanded existing schemas, vocabularies thesauri build a FAIR...
Environmental research infrastructures (RIs) support data-intensive by integrating large-scale sensor/observer networks with dedicated data curation services and analytical tools. However the diversity of scientific disciplines coupled lack an accepted methodology for constructing new RIs inevitably leads to incompatibilities between models, metadata standards service descriptions used different RIs, inhibiting their usefulness interdisciplinary research. In absence a common global ontology...
The ENVRI Reference Model (ENVRI RM) and its ontological representation Open Information Linking for Environmental RIs (OIL-E) allow architects engineers to describe the architecture operational behavior of environmental earth science research infrastructures (RIs) in a standardized way using community-agreed terminology. RI descriptions can be published as linked data, allowing discovery, querying comparison established Semantic Web technologies. Knowledge Base is community knowledge base...
<ns3:p>Research infrastructures play an increasingly essential role in scientific research. They provide rich data sources for scientists, such as services and software packages, via catalog virtual research environments. However, are typically domain-specific often not connected. Accordingly, researchers practitioners face fundamental challenges introduced by fragmented knowledge from heterogeneous, autonomous with complicated uncertain relations particular domains. Additionally, the...
Beginning in 1995, early Internet pioneers proposed Digital Objects as encapsulations of data and metadata made accessible through persistent identifier resolution services (Kahn Wilensky 2006). In recent years, this Object Architecture has been extended to include the FAIR Guiding Principles (Wilkinson et al. 2016), resulting concept a (FDO), minimal, uniform container making any digital resource machine-actionable. Intense effort is currently underway by global community experts clarify...