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These images have been made publicly accessible via The Cancer Imaging Archive (TCIA). There have been numerous requests for additional explanatory metadata on the following datasets \u2014 RIDER, Interobserver, Lung1, and Head\u2013Neck1. To support repeatability, reproducibility, generalizability, and transparency in radiomics research, we publish the subjects\u2019 clinical data, extracted radiomics features, and digital imaging and communications in medicine (DICOM) headers of these four datasets with descriptive metadata, in order to be more compliant with findable, accessible, interoperable, and reusable (FAIR) data management principles.<\/jats:p><\/jats:sec><jats:sec><jats:title>Acquisition and validation methods<\/jats:title><jats:p>Overall survival time intervals were updated using a national citizens registry after internal ethics board approval. Spatial offsets of the primary gross tumor volume (GTV) regions of interest (ROIs) associated with the Lung1 CT series were improved on the TCIA. GTV radiomics features were extracted using the open\u2010source Ontology\u2010Guided Radiomics Analysis Workflow (O\u2010RAW). We reshaped the output of O\u2010RAW to map features and extraction settings to the latest version of Radiomics Ontology, so as to be consistent with the Image Biomarker Standardization Initiative (IBSI). Digital imaging and communications in medicine metadata was extracted using a research version of Semantic DICOM (SOHARD, GmbH, Fuerth; Germany). Subjects\u2019 clinical data were described with metadata using the Radiation Oncology Ontology. All of the above were published in Resource Descriptor Format (RDF), that is, triples. Example SPARQL queries are shared with the reader to use on the online triples archive, which are intended to illustrate how to exploit this data submission.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data format<\/jats:title><jats:p>The accumulated RDF data are publicly accessible through a SPARQL endpoint where the triples are archived. The endpoint is remotely queried through a graph database web application at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/sparql.cancerdata.org\">http:\/\/sparql.cancerdata.org<\/jats:ext-link>. SPARQL queries are intrinsically federated, such that we can efficiently cross\u2010reference clinical, DICOM, and radiomics data within a single query, while being agnostic to the original data format and coding system. The federated queries work in the same way even if the RDF data were partitioned across multiple servers and dispersed physical locations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Potential applications<\/jats:title><jats:p>The public availability of these data resources is intended to support radiomics features replication, repeatability, and reproducibility studies by the academic community. The example SPARQL queries may be freely used and modified by readers depending on their research question. Data interoperability and reusability are supported by referencing existing public ontologies. The RDF data are readily findable and accessible through the aforementioned link. Scripts used to create the RDF are made available at a code repository linked to this submission: <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/gitlab.com\/UM-CDS\/FAIR-compliant_clinical_radiomics_and_DICOM_metadata\">https:\/\/gitlab.com\/UM\u2010CDS\/FAIR\u2010compliant_clinical_radiomics_and_DICOM_metadata<\/jats:ext-link>.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.14322","type":"journal-article","created":{"date-parts":[[2020,6,10]],"date-time":"2020-06-10T19:16:56Z","timestamp":1591816616000},"page":"5931-5940","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["FAIR\u2010compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head\u2010Neck1 TCIA collections"],"prefix":"10.1002","volume":"47","author":[{"given":"Petros","family":"Kalendralis","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenwei","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alberto","family":"Traverso","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ananya","family":"Choudhury","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthijs","family":"Sloep","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ivan","family":"Zhovannik","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"},{"name":"Department of Radiation Oncology Radboud University Medical Center Nijmegen 6525 GC The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martijn P.A.","family":"Starmans","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine Erasmus Medical Center Rotterdam 3015 GD The Netherlands"},{"name":"Department of Medical Informatics Erasmus Medical Center Rotterdam 3015 GD The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Detlef","family":"Grittner","sequence":"additional","affiliation":[{"name":"SOHARD Software GmbH Fuerth 90766 Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Feltens","sequence":"additional","affiliation":[{"name":"SOHARD Software GmbH Fuerth 90766 Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rene","family":"Monshouwer","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Radboud University Medical Center Nijmegen 6525 GC The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Klein","sequence":"additional","affiliation":[{"name":"Department of Radiology and Nuclear Medicine Erasmus Medical Center Rotterdam 3015 GD The Netherlands"},{"name":"Department of Medical Informatics Erasmus Medical Center Rotterdam 3015 GD The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rianne","family":"Fijten","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology (Maastro) GROW School for Oncology Maastricht University Medical Centre+ Maastricht 6229 ET The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hugo","family":"Aerts","sequence":"additional","affiliation":[{"name":"Artificial Intelligence in Medicine (AIM) Program Brigham and Women\u2019s Hospital Harvard Medical School Boston MA 02115 United States"},{"name":"Radiology and Nuclear Medicine CARIM &amp; 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