{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2022-02-18T23:08:20.867024+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "SIMCor_D7.3_First_version_of_definition_of_input_space_TUE_21-12-2021_sig.pdf": { "checksum": "md5:4b103654261f0855d72a974bb587e29b", "ext": "pdf", "id": "eda50c89-8296-4840-a285-50af898ca499", "key": "SIMCor_D7.3_First_version_of_definition_of_input_space_TUE_21-12-2021_sig.pdf", "metadata": null, "mimetype": "application/pdf", "size": 1189811 } }, "order": [], "total_bytes": 1189811 }, "id": "6150327", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/6150327/access", "access_links": "https://zenodo.org/api/records/6150327/access/links", "access_request": "https://zenodo.org/api/records/6150327/access/request", "access_users": "https://zenodo.org/api/records/6150327/access/users", "archive": "https://zenodo.org/api/records/6150327/files-archive", "archive_media": "https://zenodo.org/api/records/6150327/media-files-archive", "communities": "https://zenodo.org/api/records/6150327/communities", "communities-suggestions": "https://zenodo.org/api/records/6150327/communities-suggestions", "doi": "https://doi.org/10.5281/zenodo.6150327", "draft": "https://zenodo.org/api/records/6150327/draft", "files": "https://zenodo.org/api/records/6150327/files", "latest": "https://zenodo.org/api/records/6150327/versions/latest", "latest_html": "https://zenodo.org/records/6150327/latest", "media_files": "https://zenodo.org/api/records/6150327/media-files", "parent": "https://zenodo.org/api/records/6150326", "parent_doi": "https://zenodo.org/doi/10.5281/zenodo.6150326", "parent_html": "https://zenodo.org/records/6150326", "requests": "https://zenodo.org/api/records/6150327/requests", "reserve_doi": "https://zenodo.org/api/records/6150327/draft/pids/doi", "self": "https://zenodo.org/api/records/6150327", "self_doi": "https://zenodo.org/doi/10.5281/zenodo.6150327", "self_html": "https://zenodo.org/records/6150327", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:6150327/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:6150327/sequence/default", "versions": "https://zenodo.org/api/records/6150327/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "additional_descriptions": [ { "description": "SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.", "type": { "id": "notes", "title": { "de": "Anmerkungen", "en": "Notes" } } } ], "creators": [ { "affiliations": [ { "name": "Technische Universiteit Eindhoven" } ], "person_or_org": { "family_name": "Huberts", "given_name": "Wouter", "name": "Huberts, Wouter", "type": "personal" } } ], "description": "
The deliverable describes the first version of the definition of the input space that will be used to feed the virtual cohort generators. Accurate definition of the input space depends on available clinical data, the model used for virtual cohort generation and model parameter prioritization based on advanced sensitivity analysis techniques. The final models to be used will be part of future deliverables, which also holds for the sensitivity analysis. In this document we will describe the envisioned strategy for input space definition and how this strategy will result in an input distribution that captures realistic aortic valve disease and heart failure patients. The feasibility of the input space definition as envisioned by the project methodology will be supported by preliminary results of virtual cohort generation of aortic valve patients. Here we also discuss how clinical data is transformed into data that can be fed into our virtual cohort generator. This preliminary use case nicely demonstrates our approach but is not yet completely validated. However, it is already integrated into the Virtual Research Environment as a typical example. How integration is done will also be shown. Moreover, we present preliminary results on the geometric input definition of porcine pulmonary arteries.
", "funding": [ { "award": { "acronym": "SIMCOR", "id": "00k4n6c32::101017578", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/101017578", "scheme": "url" } ], "number": "101017578", "program": "H2020", "title": { "en": "In Silico testing and validation of Cardiovascular Implantable devices" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "publication_date": "2021-12-31", "publisher": "Zenodo", "resource_type": { "id": "publication-deliverable", "title": { "de": "Projektergebnis", "en": "Project deliverable" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "title": "SIMCor. Deliverable 7.3: First version of the definition of the input space (TUE, M12)" }, "parent": { "access": { "owned_by": { "user": 29325 } }, "communities": { "default": "e4d19c70-eb87-4175-a15d-6509ccf93c40", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2021-01-28T17:20:18.880406+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "e4d19c70-eb87-4175-a15d-6509ccf93c40", "links": {}, "metadata": { "curation_policy": "The community is meant to serve as an archive of all the open access material produced throughout the project, including journal articles, conference proceedings, presentations, posters, public deliverables and reports.
\r\n\r\nAll above-mentioned materials are accepted providing they are strictly relevant to the project and open access publishing is allowed within the publishing agreement.
\r\n", "page": "SIMCor is a 3-year (2021-2023) Research and Innovation Action funded under the topic SC1-DTH-06-2020 (Accelerating the uptake of computer simulations for testing medicines and medical devices) of the Horizon 2020 Framework Programme. The project is developing an open, reusable, cloud-based platform for in-silico development, validation and regulatory approval of cardiovascular implantable devices. The platform will support device verification and validation along the whole research and development pipeline: from initial modelling and in-vitro experiments to animal studies, device implantation and effect simulation on human cohorts.
\r\n\r\nThe growing standards for clinical safety and performance of medical devices and the complexity and speed of technological innovation, with increasingly short product cycles, create a huge demand for innovative, computer-based solutions, standards and guidelines for a statistically robust, repeatable and efficient validation of biomedical devices, to become closer to the market and the clinics. SIMCor will address this challenge by providing manufacturers of cardiovascular implantable devices with an open, reusable, cloud-based platform for in-silico testing to accelerate development, validation and regulatory approval of their products. The platform will support device verification and validation along the whole research and development pipeline: from initial modelling and in-vitro experiments, to animal studies, device implantation and effect simulation on human cohorts. In particular, SIMCor’s innovative virtual cohort technology will allow to generate and expose new or existing devices to a range of clinically-realistic and diversified anatomies and (patho)physiological conditions, also including extensive paediatric populations, meeting the critical need of testing devices in young patients. A standardized multi-level validation process and sensitivity analysis will guarantee statistical credibility for in-silico tests and the platform as a whole, proving solid experimental ground for regulatory authorities, thus accelerating approval and time to market for new products, reducing the burden of human and animal studies and boosting innovation at large. High-priority safety, efficacy and usability endpoints will be investigated, focusing on device implantation and effect simulations in two representative areas: transcatheter aortic valve implantation (TAVI) and pulmonary artery pressure sensors (PAPS). Based on proof-of-validation results and regulatory approval for these use cases, SIMCor will define standard operational procedures (SOPs) and a generalised technical framework for the in-silico testing, validation and regulatory approval of cardiovascular devices, to be put at the service of researchers, medical device manufacturers and regulatory bodies. SIMCor is a 3-year (1 January 2021 - 31 December 2023), 7.2 M€ Research and Innovation Action (RIA) funded under the topic SC1-DTH-06-2020 (Accelerating the uptake of computer simulations for testing medicines and medical devices) of the call H2020-SC1-DTH-2018-2020 (Digital transformation in Health and Care), in the Health, Demographic Change and Wellbeing area of the Horizon 2020 Framework Programme.
", "title": "SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices)" }, "revision_id": 0, "slug": "simcor", "updated": "2021-01-28T17:21:02.768173+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" } ], "ids": [ "e4d19c70-eb87-4175-a15d-6509ccf93c40", "f0a8b890-f97a-4eb2-9eac-8b8a712d3a6c" ] }, "id": "6150326", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.6150326", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.6150327", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:6150327", "provider": "oai" } }, "revision_id": 2, "stats": { "all_versions": { "data_volume": 63059983.0, "downloads": 53, "unique_downloads": 50, "unique_views": 69, "views": 74 }, "this_version": { "data_volume": 61870172.0, "downloads": 52, "unique_downloads": 49, "unique_views": 69, "views": 74 } }, "status": "published", "updated": "2022-02-19T01:50:40.920144+00:00", "versions": { "index": 1, "is_latest": true } }