Enabling Technical Interoperability in the ETH Domain

Enabling Technical Interoperability in the ETH Domain Ionut Iosifescu Enescu (WSL), Henry Lütcke (ETHZ), Fabian Felder (Lib4RI) Acknowledgements: M. Töwe (ETHZ) and G. Baud-Vittoz (EPFL) 27.11.2025 | SRDSN Fall Meeting The ETH Domain 27.11.2025 | SRDSN Fall Meeting https://ethrat.ch/en/eth-domain/portrait-eth-domain/ The ETH Domain ORD Program 27.11.2025 | SRDSN Fall Meeting CHF 15 Mio 2021 –2024 (Projects run to 2026) Position 95 Research Data Projects (M1) 10 Infrastructure, Support & Community Projects (M2) RDM Training modules (M3) Legal Basis for ORD (M4) Careers for ORD Professionals (M5) ORD Program 5 Measures Open sharing of research data is essential for progress and excellence in all scientific fields and research disciplines Steering Committee (SC) Expert Group Services & Infrastructure (EG-SI) Expert Group Research (EG-R) https://open-research-data-portal.ch/ ETH Domain ORD Program –Measure 2 Coordination of Access to RDM S&I •Standardization, federation, or mutualization of existing ORD services & infrastructures across the ETH Domain •Improvement of interoperability of existing services •Consideration of full research data life cycle •Implemented by EG-SI •Total of 3.7 mCHF (50% funded by ETH Board + 50% covered from within institutions) •First deliverable: ORD landscape report (2021 –2022) •Further implementation with 10 different projects •3 completed / 7 ongoing Generated with Bing Image Creator 27.11.2025 | SRDSN Fall Meeting ETH Domain ORD Program –Measure 2 Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning •Data Management Systems •Electronic Lab Notebooks •Version Control Systems •Computational Notebooks •Reproducibility Platforms •Research Data Archives •Research Data Repositories •Publication Repositories •Research Data Repositories •Reproducibility Platforms 27.11.2025 | SRDSN Fall Meeting ETH Domain ORD Program –Measure 2 Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning ELN A ELN B ELN C ELN Interoperability Call ELN Adopt Gatekeeper 27.11.2025 | SRDSN Fall Meeting ETH Domain ORD Program –Measure 2 Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning ELN A ELN B ELN C ELN Interoperability Call EnviDat SciCat Materials Cloud IntER Project 27.11.2025 | SRDSN Fall Meeting ELN Adopt Gatekeeper ETH Domain ORD Program –Measure 2 Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning ELN A ELN B ELN C ELN Interoperability Call Active Data 27.11.2025 | SRDSN Fall Meeting ELN Adopt Gatekeeper EnviDat SciCat Materials Cloud IntER Project ELN2Repo Project SciCat SciLog openBIS ETH Domain ORD Program –Measure 2 Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning ELN A ELN B ELN C ELN Interoperability Call Active Data RI-ADP Project EnviDat SciCat Renku 27.11.2025 | SRDSN Fall Meeting ELN Adopt Gatekeeper EnviDat SciCat Materials Cloud IntER Project ELN2Repo Project SciCat SciLog openBIS 27.11.2025 | SRDSN Fall Meeting How about Metadata for all possible Use Cases? 27.11.2025 | SRDSN Fall Meeting Technical Interoperability –Measure 2 Recommendations S3 data links: All ETH metadata recommendations should support S3 data links. Describing research data in the DataCite metadata schema: Following the recommendations of ETH data repositories is strongly recommended when minting a DOI for S3 data, as this ensures metadata integrity and validation. RO-Crate: RO-Crate should be used when additional metadata is required, such as domain-specific information, or when sharing non-S3 data that doesn’t have a DOI. RO-Crate should include the ETH Datacite metadata fields. JSON-LD: Zenodo-style JSON-LD should be used when implementation simplicity is prioritized when sharing S3 data, and additional metadata complexity is not required. JSON-LD should include the ETH Datacite metadata fields. S3 27.11.2025 | SRDSN Fall Meeting Technical Interoperability –Measure 2 Recommendations S3 data links: All ETH metadata recommendations should support S3 data links. Describing research data in the DataCite metadata schema: Following the recommendations of ETH data repositories is strongly recommended when minting a DOI for S3 data, as this ensures metadata integrity and validation. RO-Crate: RO-Crate should be used when additional metadata is required, such as domain-specific information, or when sharing non-S3 data that doesn’t have a DOI. RO-Crate should include the ETH Datacite metadata fields. JSON-LD: Zenodo-style JSON-LD should be used when implementation simplicity is prioritized when sharing S3 data, and additional metadata complexity is not required. JSON-LD should include the ETH Datacite metadata fields. S3 Technical Interoperability –Measure 2 Recommendations Data Creation Storage & Documentation Processing & Analysis Long-term Preservation Publication Re-use Data Management Planning ELN A ELN B ELN C ELN Interoperability Call Active Data PSI CSAA Project CSCS WSL Common access API 27.11.2025 | SRDSN Fall Meeting ELN Adopt Gatekeeper EnviDat SciCat Materials Cloud IntER Project ELN2Repo Project SciCat SciLog openBIS RI-ADP Project EnviDat SciCat Renku 27.11.2025 | SRDSN Fall Meeting Describing research data in the DataCite metadata schema S3 Goals •Data should be available via opendata.swiss, but we should not just build a solution that works for one data repository •Harvesting information on the relationship between research data and publications should be easy, but we don’t want to customize queries for every data repository Metadata should be harmonized to DataCite when data repositories mint a DOI or update their records 27.11.2025 | SRDSN Fall Meeting Describing research data in the DataCite metadata schema S3 Making research data FAIR – Findable, Accessible, Interoperable, and Reusable – is complex and challenging. Create the potential for both humans and machines to find, access, understand, and reuse research data. All projects are committed to ensure that the proposed solutions work alongside each other. 27.11.2025 | SRDSN Fall Meeting Describing research data in the DataCite metadata schema S3 Recommended <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Journal Article"></relatedIdentifier> </relatedIdentifiers> DataCite link https://datacite-metadataschema.readthedocs.io/en/4.6/properties/relatedidentifier/ 1. Linking Datasets to Publications 27.11.2025 | SRDSN Fall Meeting Describing research data in the DataCite metadata schema S3 Mandatory <!--Exception retractions--> <relatedItem relatedItemType="Other" relationType="References"> <relatedItemIdentifier relatedItemIdentifierType="URL"> </relatedItemIdentifier> </relatedItem> Recommended <!--Exception retractions--> <relatedItem relatedItemType="Other" relationType="References"> <relatedItemIdentifier relatedItemIdentifierType="URL"> </relatedItemIdentifier> <titles> <title></title> </titles> </relatedItem> Data Cite link https://datacite-metadata-schema.readthedocs.io/en/4.6/properties/relateditem/ 27.11.2025 | SRDSN Fall Meeting