Dataverse provides provenance facilities on dataset level and file level. A Dataverse installation accepts provenance information in two forms: a Provenance File or a free-text Provenance Description. Specification of the service can be found at: https://guides.dataverse.org/en/latest/user/dataset-management.html#dataset-versions Dataverse Support for Dataset Versions The Dataverse Data Access API provides programmatic download access to the files stored in a Dataverse installation. More advanced features of the Access API include format-specific transformations (thumbnail generation/resizing for images; converting tabular data into alternative file formats) and access to the data-level metadata that describes the contents of the tabular files. Dataverse Web API The manual contains information on how data is processed by DANS data station SSH. DANS Data Stations Data Processing Manual Dataverse software provides an export to various metadata formats and performs the mapping between the Dataverse fields and these exports. An overview of the Datavers Crosswalk can be found at: https://docs.google.com/spreadsheets/d/1VAhZ83hKURX_4T-bOkn7XCb9h62Gr2gcJI1fWe4Rl4c/ https://guides.dataverse.org/en/latest/admin/metadataexport.html Dataverse Metadata Crosswalk A research community focused on smart beehives, precision beekeeping, bee colony monitoring, environmental sensing, and FAIR data practices for apicultural research. Smart Beehive and Beekeeping Research Community 2026-05-05T17:30:00.0+01:00 2026-05-05T15:00:00.0+01:00 FIP.38.T.6 | FAIR Implementation Profile Training Session 6 2.5 2026-04-29T17:30:00.0+01:00 2026-04-29T15:00:00.0+01:00 FIP.38.T.5 | FAIR Implementation Profile Training Session 5 2.5 2026-04-29T15:00:00.0+01:00 FA.9.T.5 | FAIR2Adapt FAIR Awareness Session 5 2,5h 2026-04-29T15:00:00.0+01:00 FA.9.T.5 | FAIR2Adapt FAIR Awareness Session 5 2,5h Beacon is an open-source data lake query engine designed to make large collections of scientific data files directly, easily, and quickly queryable. It focuses primarily on environmental and observational datasets such as oceanographic and climate data but is extendible and proven to work well for other domains as well, as long as the input data follows any standard-like way of describing its contents. Beacon | High Performance Data Lake for Scientific Data 2026-04-20T17:30:00.0+01:00 2026-04-20T15:00:00.0+01:00 FIP.38.T.4 | FAIR Implementation Profile Training Session 4 2.5 2026-04-15T17:30:00.0+01:00 2026-04-15T15:00:00.0+01:00 FIP.38.T.3 | FAIR Implementation Profile Training Session 3 2.5 GitHub Inc. is a Git-based software repository that provides version control. It offers all of the distributed version control and source code management (SCM) functionality of Git as well as adding its own features. It provides access control and several collaboration features such as bug tracking, feature requests, task management, and wikis for each project. It provides a number of different access levels, from free through to paid services. GitHub Source Control 2026-04-08T17:30:00.0+01:00 2026-04-08T15:00:00.0+01:00 FIP.38.T.2 | FAIR Implementation Profile Training Session 2 2.5 2026-04-01T17:30:00.0+01:00 2026-04-01T15:00:00.0+01:00 FIP.38.T.1 | FAIR Implementation Profile Training Session 1 2.5 Python library for ingesting and processing Personal Exposure and Health research data that follows PEH Data Model structure Personal Exposure and Health Python library (pypeh) Dataverse functions as a comprehensive metadata editor (and repository) for research data. It allows users to create, edit, and manage detailed metadata at both the dataset and file levels, supporting metadata standards. Dataverse Editor The I-ADOPT Framework acts as a semantic broker and is based on an ontology in order to facilitate interoperability between existing variable description models. It offers core atomic components and relations between them that can be applied to define machine-interpretable variable descriptions that reuse FAIR terminology concepts. I-ADOPT Framework 2026-03-13T13:00:00.0+01:00 2026-03-13T09:00:00.0+01:00 M4M.45.T.2 | Data Stewards TU Wien 4 2026-03-06T13:00:00.0+01:00 2026-03-06T09:00:00.0+01:00 M4M.45.T.1 | Data Stewards TU Wien 4 2026-02-19 MUSICC FIP Workshop day 1 16.00 (CET) 10.00 (CET) 6 2025-11-17 FIP.35.T.8 | FAIR2Adapt FIP Training Session 8 16:00 14:00 2 The scope of the DANS Data Stations Policy (“the Policy”) is limited to datasets for which DANS performs ingestion, curation, archiving, long-term preservation, and dissemination. Such datasets are stored and managed in the repository services referred to as a ‘DANS Data Station’, which combines a public facing, domain specific repository based on Dataverse software where the datasets are managed and made accessible, and a service referred to as ‘the Vault’ where datasets are archived for long-term preservation. The Policy does not consider archiving and preservation of other materials, such as DANS’s web pages, internal and external documents, and digital objects in any other services that DANS provides. The Policy governs the obligations, responsibilities, and expectations of the role players. DANS Data Station Policy 0 The scope of the DANS Data Stations Policy (“the Policy”) is limited to datasets for which DANS performs ingestion, curation, archiving, long-term preservation, and dissemination. Such datasets are stored and managed in the repository services referred to as a ‘DANS Data Station’, which combines a public facing, domain specific repository based on Dataverse software where the datasets are managed and made accessible, and a service referred to as ‘the Vault’ where datasets are archived for long-term preservation. The Policy does not consider archiving and preservation of other materials, such as DANS’s web pages, internal and external documents, and digital objects in any other services that DANS provides. The Policy governs the obligations, responsibilities, and expectations of the role players. DANS Data Station Policy 0 The goal of the ACTRIS Data Management Plan is to outline the strategy and process towards making ACTRIS data FAIR at ACTRIS Data Centre Level. ACTRIS Data Management Plan 10 RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on schema.org annotations in JSON-LD. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations. RO-Crate | Research Object Crate This service allows to add semantic context about the observable property described in digital objects in a structured way semi-automatically and enables multi-faceted search in catalogs. Automated I-ADOPT Service 2025-11-24 FIP.35.T.9 | FAIR2Adapt FIP Training Session 9 11:00 09:00 2 2025-12-01 FIP.35.T.10 | FAIR2Adapt FIP Training Session 10 11:00 09:00 2 2025-11-24 FIP.35.T.9 | FAIR2Adapt FIP Training Session 9 11:00 09:00 2 2025-11-13 M4M.44.T.8 | FAIR2Adapt Vocabulary training session 8 11:00 (CEST) 09:00 (CEST) 2 This tool can be used to assess FAIR Research Objects. It is integrated in the Rohub platform. FAIROs service measures the FAIRness of Research Objects, by calculating the FAIRness of individual aggregated resources, including the Research Object itself, and then aggregating those results to calculate the over FAIR score. The service has been recently deployed, and it is currently being integrated in ROHub. The service functionality will be available via the ROHub portal and python library in a similar way as the checklist service functionalities, i.e., in the portal the overall score will be displayed in the overview tab of the Research Object, and there will be a dedicated tab to show details of the FAIRness evaluation. FAIROS 2025-11-10 FIP.35.T.7 | FAIR2Adapt FIP Training Session 7 11:00 09:00 2 2025-10-23 M4M.44.T.6 | FAIR2Adapt Vocabulary training session 6 11:00 (CEST) 09:00 (CEST) 2 2025-10-30 M4M.44.T.7 | FAIR2Adapt Vocabulary training session 7 11:00 (CEST) 09:00 (CEST) 2 The WorkflowHub is a registry of scientific workflows. WorkflowHub aims to facilitate discovery and re-use of workflows in an accessible and interoperable way. This is achieved through extensive use of open standards and tools, including CWL, RO-Crate, Bioschemas and GA4GH's TRS API, in accordance with the FAIR principles. WorkflowHub supports workflows of any type in its native repository. WorkflowHub 2025-10-29 FIP.35.T.6 | FAIR2Adapt FIP Training Session 6 11:00 09:00 2 2025-10-27 FIP.35.T.5 | FAIR2Adapt FIP Training Session 5 11:00 09:00 2 2025-10-23 FAIR2Adapt Vocabulary Training 11:00 (CEST) 09:00 (CEST) 2 2025-10-22 FIP.35.T.2 | FAIR2Adapt FIP Training Session 2 11:00 09:00 2 2025-10-22 FIP.35.T.2 | FAIR2Adapt FIP Training Session 4 11:00 09:00 2 2025-10-20 FIP.35.T.3 | FAIR2Adapt FIP Training Session 3 11:00 09:00 2 2025-10-16 M4M.44.T.5 | FAIR2Adapt Vocabulary training session 5 11:00 (CEST) 09:00 (CEST) 2 2025-10-15 FIP.35.T.2 | FAIR2Adapt FIP Training Session 2 11:00 09:00 2 2025-10-14 poliTO Workshop FAIR Implementation Profile (FIP) 15:30 10:00 4 2025-10-13 FIP.35.T.1 | FAIR2Adapt FIP Training Session 1 12:00 10:00 2 2025-10-08 FA.9.T.5 | FAIR2Adapt FAIR Awareness Session 5 11:00 09:00 2 2025-10-02 M4M.44.T.4 | Finding a vocabulary 11:00 (CEST) 09:00 (CEST) 2 2025-10-01 FA.9.T.4 | FAIR2Adapt FAIR Awareness session 4 11:00 09:00 2 2025-09-29 FA.9.T.3 | FAIR2Adapt FAIR Awareness session 3 11:00 09:00 2 A service for taxonomy, ontology and data management. Graphologi nanodash is a client to publish and browse nanopublications. nanodash nanodash is a client to publish and browse nanopublications. nanodash ROHub is a holistic solution for the storage, lifecycle management and preservation of scientific investigations, campaigns and operational processes via research objects. It makes these resources available to others, allows to publish and release them through a DOI, and allows to discover and reuse pre-existing scientific knowledge. Built entirely around the research object concept and inspired by sustainable software management principles, ROHub is the reference platform implementing natively the full research object model and paradigm, which provides the backbone to a wealth of RO-centric applications and interfaces across different scientific communities. ROHub | Research Object Hub 2025-09-29 FAIR Awareness Session 3 11:00 09:00 2 2025-09-29 FAIR Awareness Session 3 11:00 09:00 2 2025-09-29 FAIR Awareness Session 3 11:00 09:00 2 2025-09-25 M4M.44.T.3 | FAIR vocabularies 11:00 (CEST) 09:00 (CEST) 2 2025-09-24 FA.9.T.2 | FAIR2Adapt FAIR Awareness session 2 11:00 09:00 2 2025-09-22 FA.9.T.1 | FAIR2Adapt FAIR Awareness session 1 11:00 09:00 2 2025-09-18 M4M.44.T.2 | FAIR2Adapt Vocabulary training session 2 11:00 (CEST) 09:00 (CEST) 2 Given a version number MAJOR.MINOR.PATCH, increment the: MAJOR version when you make incompatible API changes MINOR version when you add functionality in a backward compatible manner PATCH version when you make backward compatible bug fixes Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format. SemVer | Semantic Versioning for software 2025-09-11 M4M.44.T.1 | FAIR2ADAPT M4M vocabulary training session 1 11:00 (CEST) 09:00 (CEST) 2 2025-02-24 M4M.36.W.1 | PARC Indoor Environment Metadata 11:00 10:00 1 2024-12-11 M4M.35.W.13 | PARC Environmental Metadata 11:30 10:00 1.5 2024-11-27 M4M.35.W.12 | PARC Environmental Metadata 11:30 10:00 1.5 2024-11-13 M4M.35.W.11 | PARC Environmental Metadata 11:30 10:00 1.5 2024-10-30 M4M.35.W.10 | PARC Environmental Metadata 11:30 10:00 1.5 2024-10-04 M4M.35.W.9 | PARC Environmental Metadata 12:00 09:00 3 2024-09-18 M4M.35.W.8 | PARC Environmental Metadata 11:30 10:00 1.5 2024-09-04 M4M.35.W.7 | PARC Environmental Metadata 11:30 10:00 1.5 2024-08-21 M4M.35.W.6 | PARC Environmental Metadata 11:30 10:00 1.5 2024-08-07 M4M.35.W.5 | PARC Environmental Metadata 11:30 10:00 1.5 2025-06-30 M4M.43.W.1 | FAIR2Adapt Case Study 3 Metadata 13:00 10:00 3 2025-08-29 M4M.40.W.4 | FAIR2Adapt Case Study 2 Metadata 10:00 09:00 1 2025-08-26 M4M.40.W.3 | FAIR2Adapt Case Study 2 Metadata 11:00 09:00 2 2025-07-29 M4M.40.W.2 | FAIR2Adapt Case Study 2 Metadata 17:00 16:00 1 2025-08-25 M4M.42.W.2 | FAIR2Adapt Case Study 5 Metadata 14:00 13:00 1 2025-06-27 M4M.42.W.1 | FAIR2Adapt Case Study 5 Metadata 13:00 10:00 3 2025-06-26 M4M.41.W.1 | FAIR2Adapt Case Study 4 Metadata 17:00 14:00 3 2025-06-20 M4M.40.W.1 | FAIR2Adapt Case Study 2 Metadata 17:00 14:00 3 2025-06-16 M4M.39.W.1 | FAIR2Adapt Case Study 1 Metadata 17:00 14:00 3 2025-08-04 M4M.38.W.2 | FAIR2Adapt Case Study 6 Metadata 12:00 11:00 1 FIP Check is a structured assessment tool designed to evaluate FAIR Implementation Profiles (FIPs) by examining the individual FAIR Enabling Resources (FERs) they contain. It uses FAIR Principle-aligned questions set to score each FER, giving a detailed view of how specific FERs contribute to overall FAIRness of FIP. FIP Check DEIMS-SDR (Dynamic Ecological Information Management System - Site and Dataset Registry) is an information management system for the discovery of long-term environmental research and monitoring facilities around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR includes metadata such as site location, ecosystem, facilities, parameters measured and research themes. DEIMS-SDR | Dynamic Ecological Information Management System - Site and Dataset Registry A community of highly skilled interdisciplinaty scientist interested in early detection of cardiovascular risk n women suffering from depression ConsortiumEMPOVER Consortium of experienced researchers interested in developing and validating new electrophysiology and metallomics combined biomarkers for CVD risks in depression PerNeuroCard Consortium NetCDF compliant with Climate and Forecasts (CF) Metadata Convention v1.10 NetCDF CF-1.10 FAIRsharing is a FAIR-supporting resource that provides an informative and educational registry on data standards, databases, repositories and policy, alongside search and visualization tools and services that interoperate with other FAIR-enabling resources. FAIRsharing guides consumers to discover, select and use standards, databases, repositories and policy with confidence, and producers to make their resources more discoverable, more widely adopted and cited. Each record in FAIRsharing is curated in collaboration with the maintainers of the resource themselves, ensuring that the metadata in the FAIRsharing registry is accurate and timely. Every record is manually reviewed at least once a year. Records can be collated into collections, based on a project, society, organisation or other community. FAIRsharing This is the persistency policy of the DataCite DOIs. DataCite Policy 50 NetCDF compliant with Climate and Forecasts (CF) Metadata Convention v1.6 NetCDF CF-1.6 1.6.0 Ontologies within the BioPortal repository have many applications and can for example be used as vocabularies in metadata and data. BPOnto | BioPortal ontologies In RSpace, a global ID is a unique identifier assigned to every object in the system. These IDs serve as permanent references that remain consistent throughout an object's lifecycle, regardless of whether it is moved, renamed, or otherwise modified. In contrast to globally unique PIDs, such as DOIs, IGSNs, ePIC, etc., which are provided as globally managed services, the persistence of the RSpace global IDs relies on the management of the individual RSpace instance. As long as an RSpace instance is maintained and accessible, the global IDs remain resolvable. RSpaceGID | RSpace Global Identifier The PubChem Compound identifier (CID) Persistence Policy describs how the PubChem CIDs are made persistent, meaning they do not change over time. Once a CID is assigned to a structure, it remains associated with that structure indefinitely within the PubChem database. PubChemCID_Persistence | PubChem Compound ID Persistence Policy 30 2025-06-24 M4M.37.T.8 | FAIR2Adapt M4M Training Session 8 15:00 13:00 2 2025-06-19 M4M.37.T.7 | FAIR2Adapt M4M Training Session 7 15:00 13:00 2 2025-06-13 M4M.38.W.1 | FAIR2Adapt CS6 Design Thinking Workshop 17:00 14:00 3 The goal of Unidata's Thematic Real-time Environmental Distributed Data Services (THREDDS) is to provide students, educators and researchers with coherent access to a large collection of real-time and archived datasets from a variety of environmental data sources at a number of distributed server sites. The THREDDS Data Server (TDS) is a web server that provides metadata and data access for scientific datasets, using a variety of remote data access protocols. The THREDDS Data Server (TDS) provides catalog, metadata, and data access services for scientific data. Every TDS publishes THREDDS catalogs that advertise the datasets and services it makes available. THREDDS catalogs are XML documents that list datasets and the data access services available for the datasets. Catalogs may contain metadata to document details about the datasets. TDS configuration files provide the TDS with information about which datasets and data collections are available and what services are provided for the datasets. The available remote data access protocols include OPeNDAP, OGC WCS, OGC WMS, and HTTP. The ncISO service allows THREDDS catalogs to be translated into ISO metadata records. The TDS also supports several dataset collection services including some sophisticated dataset aggregation capabilities. This allows the TDS to aggregate a collection of datasets into a single virtual dataset, greatly simplifying user access to that data collection. The TDS is open source and runs inside the open source Tomcat Servlet container. THREDDS | Thematic Real-time Environmental Distributed Data Services ERDDAP is a scientific data server that gives users a simple, consistent way to access and download subsets of gridded and tabular scientific datasets in common file formats and make graphs and maps. ERDDAP is a Free and Open Source (Apache and Apache-like) Java Servlet from NOAA NMFS SWFSC Environmental Research Division (ERD). ERDDAP | Environmental Research Division Data Access Program 2025-06-10 M4M.37.T.6| FAIR2Adapt M4M Training Session 6 15:00 13:00 2