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Fern\u00e1ndez", "type": "personal" } }, { "affiliations": [ { "name": "Ontology Engineering Group, Universidad Polit\u00e9cnica de Madrid, Madrid, ES" } ], "person_or_org": { "family_name": "Daniel Garijo", "identifiers": [ { "identifier": "0000-0003-0454-7145", "scheme": "orcid" } ], "name": "Daniel Garijo", "type": "personal" } }, { "affiliations": [ { "name": "Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, DE" } ], "person_or_org": { "family_name": "Bj\u00f6rn Gr\u00fcning", "identifiers": [ { "identifier": "0000-0002-3079-6586", "scheme": "orcid" } ], "name": "Bj\u00f6rn Gr\u00fcning", "type": "personal" } }, { "affiliations": [ { "name": "PARADISEC, Melbourne, Australia" } ], "person_or_org": { "family_name": "Marco La Rosa", "identifiers": [ { "identifier": "0000-0001-5383-6993", "scheme": "orcid" } ], "name": "Marco La Rosa", "type": "personal" } }, { "affiliations": [ { "name": "Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA) , Italy" } ], "person_or_org": { "family_name": "Simone Leo", "identifiers": [ { "identifier": "0000-0001-8271-5429", "scheme": "orcid" } ], "name": "Simone Leo", "type": "personal" } }, { "affiliations": [ { "name": "University College Cork, IE" } ], "person_or_org": { "family_name": "Eoghan \u00d3 Carrag\u00e1in", "identifiers": [ { "identifier": "0000-0001-8131-2150", "scheme": "orcid" } ], "name": "Eoghan \u00d3 Carrag\u00e1in", "type": "personal" } }, { "affiliations": [ { "name": "Vlaams Instituut voor de Zee}, Oostende, BE" } ], "person_or_org": { "family_name": "Marc Portier", "identifiers": [ { "identifier": "0000-0002-9648-6484", "scheme": "orcid" } ], "name": "Marc Portier", "type": "personal" } }, { "affiliations": [ { "name": "Institute for Quantitative Social Science, Harvard University, Cambridge, MA, US" } ], "person_or_org": { "family_name": "Ana Trisovic", "identifiers": [ { "identifier": "0000-0003-1991-0533", "scheme": "orcid" } ], "name": "Ana Trisovic", "type": "personal" } }, { "person_or_org": { "family_name": "RO-Crate Community", "name": "RO-Crate Community", "type": "personal" } }, { "affiliations": [ { "name": "Informatics Institute, Faculty of Science, University of Amsterdam, NL" } ], "person_or_org": { "family_name": "Paul Groth", "identifiers": [ { "identifier": "0000-0003-0183-6910", "scheme": "orcid" } ], "name": "Paul Groth", "type": "personal" } }, { "affiliations": [ { "name": "Department of Computer Science, The University of Manchester, UK" } ], "person_or_org": { "family_name": "Carole Goble", "identifiers": [ { "identifier": "0000-0003-1219-2137", "scheme": "orcid" } ], "name": "Carole Goble", "type": "personal" } } ], "description": "
An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific articles may be ambiguous, incomplete and difficult to process by automated systems. In this paper we introduce RO-Crate, an open, community-driven, and lightweight approach to packaging research artefacts along with their metadata in a machine readable manner. RO-Crate is based on Schema.org annotations in JSON-LD, aiming to establish best practices to formally describe metadata in an accessible and practical way for their use in a wide variety of situations.
\n\nAn RO-Crate is a structured archive of all the items that contributed to a research outcome, including their identifiers, provenance, relations and annotations. As a general purpose packaging approach for data and their metadata, RO-Crate is used across multiple areas, including bioinformatics, digital humanities and regulatory sciences. By applying "just enough" Linked Data standards, RO-Crate simplifies the process of making research outputs FAIR while also contributes to enhancing research reproducibility.
\n\nAn RO-Crate for this article is available.
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Self-contained executable Research Objects (i.e., including execution environment description)
Submissions must use an open license, if you are not sure use Creative Commons Attribution 4.0 (for text, figures, data, metadata) or Apache License 2.0 (for software, workflows, scripts).
", "description": "For and about Research Objects using the RO-Crate standard, classic RO ontologies and other related work on scholarly communication.", "organizations": [ { "id": "027m9bs27" }, { "id": "00rqy9422" } ], "page": "Scholarly Communication has evolved significantly in recent years, with an increasing focus on Open Research, data sharing and community-developed open source methods. The concepts of authorship and citation are changing, as researchers are increasingly reusing and evolving common software tools and datasets. Yet with a growing amount of cloud compute power and open platforms available, reproducibility of computational analyses becomes more challenging, and often overlooked in peer review. While recent advances in scientific workflows and provenance capture systems have improved on this situation, a question remains on how to publish, archive and explore digital research outputs, as academic authors and publishers remain focused on PDFs and the occasional CSV file, with the Web and Open Research often left to \"best effort\" rather than being the expected norm.
To this mean the community initiative Research Object (RO) have been proposed as a way to package and describe research outputs, data, methods, workflows, provenance and structured metadata, reusing existing Web standards and formats.
Accepting published peer-reviewed publications; recommendations and standards; open source software; vocabularies and ontologies; linked data datasets; theses and student reports.
\r\n", "page": "Linked Data is a way to publish structured information on the Web, using well-defined properties with links related resources, all identified with accessible URIs.
\r\n\r\nLinked Data builds on (and includes) Semantic Web technologies like RDF, HTTP, REST and JSON-LD, and has a strong emphasis on openess and reuse of identifiers. Interoperability and ease of use has higher priority than reaching ideal semantic clarity.
\r\n\r\nLinked Data is also an important part of the Open Data movement, as it standardizes how to structure data and merging multiple disparate data sets is made possible using common identifiers and vocabularies.
\r\n\r\nThis community's logo is adapted from the Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/
", "title": "Linked Data" }, "revision_id": 0, "slug": "linkeddata", "updated": "2018-03-07T16:51:40.482257+00:00" }, { "access": { "member_policy": "open", "members_visibility": "restricted", "record_policy": "open", "review_policy": "closed", "visibility": "public" }, "children": { "allow": true }, "created": "2022-11-23T15:53:29.436323+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "links": {}, "metadata": { "curation_policy": "The EU Open Research Repository serves as a repository for research outputs (data, software, posters, presentations, publications, etc) which have been funded under an EU research funding programme such as Horizon Europe, Euratom or earlier Framework Programmes.
\nThe community is managed by CERN on behalf of the European Commission.
\nZenodo’s general policies and Terms of Use apply to all content.
\nThe EU Open Research Repository accepts all digital research objects which is a research output stemming from one of EU’s research and innovation funding programmes. The funding programmes currently include:
\nHorizon Europe (including ERC, MSCA), earlier Framework Programmes (eg Horizon 2020) as well as Euratom.
\nIn line with the principle as open as possible, as closed as necessary both public and restricted content is accepted. See note on how Zenodo handles restricted content.
\nEU programme beneficiaries are eligible to submit content to the community. The community supports three types of content submissions:
\nSubmission via an EU Project Community (through user interface or programmatic APIs).
\nSubmission directly to the EU Open Research Repository.
\nAutomated harvesting from existing Zenodo content.
\nA representative of an EU project may request an EU Project Community and invite other project participants as members of the community. The project community is linked to one or more European Commission grants. All records in the project community are automatically integrated into the EU Open Research Repository immediately upon acceptance into the project community.
\nAny user may submit a record directly to the EU Open Research Repository. The submission will be moderated by Zenodo staff for compliance with the minimal required metadata requirements and its correctness.
\nRecords found among Zenodo’s existing content will on a regular basis automatically be integrated if they are found to comply with the requirements. The submissions through this method are integrated into the EU Open Research Repository with delay in a fully automated way.
\nRecords in the EU Open Research Repository are required to comply with the following minimal metadata requirements:
\nVisibility: Both public and restricted (with or without embargo and/or access request)
\nResource types: All resource types.
\nLicenses: Public and embargoed records MUST specify a license.
\nFunding information: Records MUST specify at least one grant from the European Commission.
\nCreators: Creators SHOULD be identified with a persistent identifier (e.g. ORCID, GND, …), and affiliations SHOULD be identified with a persistent identifier (e.g. ROR, ISNI, …)
\nSubjects: Records SHOULD specify one or more fields of science from the European Science Vocabulary.
\nAll submissions will undergo automated curation checks for compliance with the policy. Submissions through project communities are reviewed by the project community. Submission directly to the EU Open Research Repository is reviewed by Zenodo staff.
\nCommunity curators may at any point edit metadata of the records in the community without notice through human or automated processing. The curators may at their sole discretion remove records from the community that are deemed not to comply with the content and curation policy or which are deemed of insufficient quality.
\nThe content and curation policy is subject to change by the community owner at any time and without notice, other than through updating this page.
", "description": "Open repository for EU-funded research outputs from Horizon Europe, Euratom and earlier Framework Programmes.", "organizations": [ { "id": "00k4n6c32" } ], "page": "The EU Open Research Repository is a Zenodo-community dedicated to fostering open science and enhancing the visibility and accessibility of research outputs funded by the European Union. The community is managed by CERN on behalf of the European Commission.
\nThe mission of the repository is to support the implementation of the EU's open science policy, providing a trusted and comprehensive space for researchers to share their research outputs such as data, software, reports, presentations, posters and more. The EU Open Research Repository simplifies the process of complying with open science requirements, ensuring that research outputs from Horizon Europe, Euratom, and earlier Framework Programmes are freely accessible, thereby accelerating scientific discovery and innovation.
\nThe EU Open Research Repository serves as a complementary platform to the Open Research Europe (ORE) publishing platform. Open Research Europe focuses on providing a publishing venue for peer-reviewed articles, ensuring that research meets rigorous academic standards. The EU Open Research Repository provides a space for all the other research outputs including data sets, software, posters, and presentations that are out of scope for ORE. This holistic approach enables researchers to not only publish their findings but also share the underlying data and materials that support their work, fostering transparency and reproducibility in the scientific process.
\nCurrently in its pilot phase and set to be fully operational during autumn 2024, the EU Open Research Repository is constantly evolving. Efforts are committed to integrating cutting-edge features, including automated curation checks and FAIR (Findable, Accessible, Interoperable, and Reusable) assistance, to further support the research community. The goal is to provide researchers with a simple goto solution for making their publicly funded research open and as FAIR as possible.
\nThe EU Open Research Repository is funded by the European Union under grant agreement no. 101122956(HORIZON-ZEN). For more information about the project see https://about.zenodo.org/projects/horizon-zen/.
", "title": "EU Open Research Repository (Pilot)", "type": { "id": "organization" }, "website": "https://research-and-innovation.ec.europa.eu" }, "revision_id": 16, "slug": "eu", "theme": { "brand": "horizon", "enabled": true, "style": { "font": { "family": "Arial, sans-serif", "size": "16px", "weight": 600 }, "mainHeaderBackgroundColor": "#FFFFFF", "primaryColor": "#004494", "primaryTextColor": "#FFFFFF", "secondaryColor": "#FFD617", "secondaryTextColor": "#000000", "tertiaryColor": "#e3eefd", "tertiaryTextColor": "#1c5694" } }, "updated": "2024-03-20T06:47:47.577483+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2016-09-16T09:22:02.863128+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "fe037ff6-6dac-4d56-afde-704f1f800893", "links": {}, "metadata": { "description": "The leading European Centre of Excellence for Computational Biomolecular Research. Established in 2015, the centre has grown into a major research and innovation hub for scientific computing.", "funding": [ { "award": { "id": "00k4n6c32::823830" }, "funder": { "id": "00k4n6c32" } }, { "award": { "id": "00k4n6c32::675728" }, "funder": { "id": "00k4n6c32" } }, { "award": { "id": "00k4n6c32::101093290" }, "funder": { "id": "00k4n6c32" } } ], "page": "BioExcel (www.bioexcel.eu) is the leading European Centre of Excellence for computational biomolecular research. We develop world-class applications for modelling and simulations; methods for extreme scaling on modern supercomputing architectures; user-friendly automation workflows and extensive program for training and support of academic and industrial researchers in the use of high-performance computing (HPC) and high-throughput computing (HTC) in biomolecular research.
\n\nBioExcel is funded by the European Union Horizon 2020 program under grant agreements 823830, 675728.
", "title": "BioExcel Centre of Excellence for Computational Biomolecular Research", "type": { "id": "organization" }, "website": "https://bioexcel.eu" }, "revision_id": 1, "slug": "bioexcel", "updated": "2023-11-03T17:08:06.861102+00:00" } ], "ids": [ "23d53652-d7fb-467a-9e6e-3c0714cc35c9", "586a09f6-1c6a-4589-8589-82eafb705b1c", "b638e3e5-64a3-451b-a2cd-1e27ffa319a3", "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c", "fe037ff6-6dac-4d56-afde-704f1f800893" ] }, "id": "5146227", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.5146227", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.5146228", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:5146228", "provider": "oai" } }, "revision_id": 13, "stats": { "all_versions": { "data_volume": 1256861432.0, "downloads": 1116, "unique_downloads": 909, "unique_views": 1675, "views": 1798 }, "this_version": { "data_volume": 451688587.0, "downloads": 462, "unique_downloads": 394, "unique_views": 735, "views": 786 } }, "status": "published", "updated": "2022-01-10T11:45:27.307465+00:00", "versions": { "index": 1, "is_latest": false } }