@prefix adms: <http://www.w3.org/ns/adms#> .
@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://fdp-acc.healthdata.nl/dataset/66b9c86c-c96a-45b1-b38b-481c6fbf84b7> a dcat:Dataset ;
    dct:creator [ a foaf:Agent ;
            dct:identifier <http://example.com> ;
            foaf:name "Dr. ir. Stefan Klein" ],
        [ a foaf:Agent ;
            dct:identifier <http://example.com> ;
            foaf:name "Dr. Martijn Starmans" ] ;
    dct:description ""@en,
        """This collection contains the WORC Database: imaging data, segmentations, and ground truth labels (e.g. diagnosis, phenotype, genetics) of 930 anonymized patients collected at the Erasmus Medical Center (Rotterdam, the Netherlands) with a variety of tumor types (e.g. liver, soft tissue, lung metastases) as published in the following two papers:\r
\r
1) Starmans et al. "Reproducible radiomics through automated machine learning validated on twelve clinical applications", submitted, preprint available from https://arxiv.org/abs/2108.08618; and \r
2) Starmans et al. "The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies", submitted, preprint available from https://doi.org/10.1101/2021.08.19.21262238.\r
\r
By downloading the data, you agree to the following Data Usage Policy: \r
\r
The dataset is freely available under the following license: https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf. This license dictates among others that:\r
\r
1) others can remix, adapt and build upon this work only non-commercially;\r
2) the data may not be redistributed.\r
3) when using (part of) this dataset, please cite the two above mentioned papers.\r
\r
See the license for all conditions (https://xnat.bmia.nl/data/projects/worc/resources/License/files/WORC_data_license.pdf).\r
\r
Code to download the data and reproduce the radiomics experiments as detailed in the above papers can be found at https://github.com/MStarmans91/WORCDatabase.\r
"""@nl ;
    dct:identifier <https://xnat-acc.health-ri.nl/data/archive/projects/worc> ;
    dct:issued "2025-06-30T00:00:14+00:00"^^xsd:dateTime ;
    dct:language <http://id.loc.gov/vocabulary/iso639-1/en> ;
    dct:modified "2025-06-30T00:00:14+00:00"^^xsd:dateTime ;
    dct:provenance [ a dct:ProvenanceStatement ;
            rdfs:label ""@en,
                ""@nl ] ;
    dct:publisher [ a foaf:Agent ;
            dct:identifier <https://health-ri.nl> ;
            foaf:name "Health-RI" ] ;
    dct:title ""@en,
        "WORC"@nl ;
    adms:versionNotes ""@en,
        ""@nl ;
    dcat:contactPoint [ a vcard:Kind ;
            vcard:fn "Health-RI servicedesk" ;
            vcard:hasEmail <mailto:servicedesk@health-ri.nl> ;
            vcard:hasUID <http://example.com/> ] ;
    dcat:keyword "artificial"@nl,
        "classification"@nl,
        "intelligence"@nl,
        "learning"@nl,
        "machine"@nl,
        "oncology"@nl,
        "radiomics"@nl,
        "segmentation"@nl ;
    dcat:theme <http://publications.europa.eu/resource/authority/data-theme/HEAL> .

<http://id.loc.gov/vocabulary/iso639-1/en> a dct:LinguisticSystem .