The ICGC ARGO data dictionary for standardizing global cancer clinical data Article Swipe
Hardeep K. Nahal-Bose
,
Peter Lichter
,
Ursula Weber
,
Lincoln D Stein
,
Rosita Bajari
,
Linda Xiang
,
Edmund Su
,
Jon Eubank
,
Ciarán Schütte
,
Christina K. Yung
,
Melanie Courtot
,
Hardeep K. Nahal-Bose
,
Peter Lichter
,
Ursula Weber
,
Lincoln D Stein
,
Rosita Bajari
,
Linda Xiang
,
Edmund Su
,
Jon Eubank
,
Ciarán Schütte
,
Christina K. Yung
,
Melanie Courtot
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-025-06068-4
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41597-025-06068-4
The International Cancer Genome Consortium Accelerating Research in Genomic Oncology (ICGC ARGO) project is an international initiative to sequence germline and tumour genomes from 100,000 cancer patients across 13 countries and 22 tumour types. By integrating genomic data with comprehensive clinical information including treatment outcomes, lifestyle, environmental exposures and family history, ICGC ARGO aims to accelerate the application of genomic insights in cancer diagnosis, treatment and prevention. However, a major challenge is harmonizing clinical data from diverse tumour types worldwide. To address this, the ICGC ARGO Data Dictionary was developed to ensure consistent high-quality clinical data collection by defining a minimal set of clinical fields within an event-based data model to capture clinical relationships and support longitudinal data collection. Grounded in international standardized terminology, it is interoperable with other data standards such as Minimal Common Oncology Data Elements (mCODE). Its adoption by global initiatives such as the European-Canadian Cancer Network (EUCANCan) and the Marathon of Hope Cancer Centres Network (MOHCCN) underscores its broad impact on advancing precision oncology research.
Related Topics
Concepts
Interoperability
Cancer
Clinical Oncology
Data science
Argo
Precision oncology
Germline
Genome
Medicine
Genomics
Metadata
Computer science
Oncology
Data set
Computational biology
Medical physics
Set (abstract data type)
Data collection
MEDLINE
Genomic information
Precision medicine
Clinical trial
Bioinformatics
Cancer treatment
Translational research
Internal medicine
DNA sequencing
Clinical research
Data mining
Family medicine
Information repository
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41597-025-06068-4
- https://www.nature.com/articles/s41597-025-06068-4.pdf
- OA Status
- gold
- References
- 26
- OpenAlex ID
- https://openalex.org/W7106116732
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106116732Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41597-025-06068-4Digital Object Identifier
- Title
-
The ICGC ARGO data dictionary for standardizing global cancer clinical dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-20Full publication date if available
- Authors
-
Hardeep K. Nahal-Bose, Peter Lichter, Ursula Weber, Lincoln D Stein, Rosita Bajari, Linda Xiang, Edmund Su, Jon Eubank, Ciarán Schütte, Christina K. Yung, Melanie Courtot, Hardeep K. Nahal-Bose, Peter Lichter, Ursula Weber, Lincoln D Stein, Rosita Bajari, Linda Xiang, Edmund Su, Jon Eubank, Ciarán Schütte, Christina K. Yung, Melanie CourtotList of authors in order
- Landing page
-
https://doi.org/10.1038/s41597-025-06068-4Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41597-025-06068-4.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41597-025-06068-4.pdfDirect OA link when available
- Concepts
-
Interoperability, Cancer, Clinical Oncology, Data science, Argo, Precision oncology, Germline, Genome, Medicine, Genomics, Metadata, Computer science, Oncology, Data set, Computational biology, Medical physics, Set (abstract data type), Data collection, MEDLINE, Genomic information, Precision medicine, Clinical trial, Bioinformatics, Cancer treatment, Translational research, Internal medicine, DNA sequencing, Clinical research, Data mining, Family medicine, Information repositoryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
26Number of works referenced by this work
Full payload
| id | https://openalex.org/W7106116732 |
|---|---|
| doi | https://doi.org/10.1038/s41597-025-06068-4 |
| ids.doi | https://doi.org/10.1038/s41597-025-06068-4 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/41266369 |
| ids.openalex | https://openalex.org/W7106116732 |
| fwci | 0.0 |
| mesh[0].qualifier_ui | Q000235 |
| mesh[0].descriptor_ui | D009369 |
| mesh[0].is_major_topic | True |
| mesh[0].qualifier_name | genetics |
| mesh[0].descriptor_name | Neoplasms |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D006801 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Humans |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D023281 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Genomics |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D008495 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Medical Oncology |
| type | article |
| title | The ICGC ARGO data dictionary for standardizing global cancer clinical data |
| biblio.issue | 1 |
| biblio.volume | 12 |
| biblio.last_page | 1852 |
| biblio.first_page | 1852 |
| topics[0].id | https://openalex.org/T11287 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.4992412030696869 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1306 |
| topics[0].subfield.display_name | Cancer Research |
| topics[0].display_name | Cancer Genomics and Diagnostics |
| topics[1].id | https://openalex.org/T11297 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.07744210213422775 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2740 |
| topics[1].subfield.display_name | Pulmonary and Respiratory Medicine |
| topics[1].display_name | Ferroptosis and cancer prognosis |
| topics[2].id | https://openalex.org/T11642 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.03575288504362106 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1311 |
| topics[2].subfield.display_name | Genetics |
| topics[2].display_name | Genomics and Rare Diseases |
| is_xpac | False |
| apc_list.value | 1990 |
| apc_list.currency | USD |
| apc_list.value_usd | 1990 |
| apc_paid.value | 1990 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1990 |
| concepts[0].id | https://openalex.org/C20136886 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6810098886489868 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q749647 |
| concepts[0].display_name | Interoperability |
| concepts[1].id | https://openalex.org/C121608353 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5993680357933044 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q12078 |
| concepts[1].display_name | Cancer |
| concepts[2].id | https://openalex.org/C2776598537 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5428942441940308 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1812651 |
| concepts[2].display_name | Clinical Oncology |
| concepts[3].id | https://openalex.org/C2522767166 |
| concepts[3].level | 1 |
| concepts[3].score | 0.49368882179260254 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[3].display_name | Data science |
| concepts[4].id | https://openalex.org/C51614570 |
| concepts[4].level | 2 |
| concepts[4].score | 0.470283567905426 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q647931 |
| concepts[4].display_name | Argo |
| concepts[5].id | https://openalex.org/C3020497934 |
| concepts[5].level | 3 |
| concepts[5].score | 0.4237012565135956 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q17075943 |
| concepts[5].display_name | Precision oncology |
| concepts[6].id | https://openalex.org/C109825262 |
| concepts[6].level | 3 |
| concepts[6].score | 0.4090522527694702 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1139164 |
| concepts[6].display_name | Germline |
| concepts[7].id | https://openalex.org/C141231307 |
| concepts[7].level | 3 |
| concepts[7].score | 0.39939552545547485 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7020 |
| concepts[7].display_name | Genome |
| concepts[8].id | https://openalex.org/C71924100 |
| concepts[8].level | 0 |
| concepts[8].score | 0.3979499936103821 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[8].display_name | Medicine |
| concepts[9].id | https://openalex.org/C189206191 |
| concepts[9].level | 4 |
| concepts[9].score | 0.37793564796447754 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q222046 |
| concepts[9].display_name | Genomics |
| concepts[10].id | https://openalex.org/C93518851 |
| concepts[10].level | 2 |
| concepts[10].score | 0.366723895072937 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q180160 |
| concepts[10].display_name | Metadata |
| concepts[11].id | https://openalex.org/C41008148 |
| concepts[11].level | 0 |
| concepts[11].score | 0.36581405997276306 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[11].display_name | Computer science |
| concepts[12].id | https://openalex.org/C143998085 |
| concepts[12].level | 1 |
| concepts[12].score | 0.36179250478744507 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q162555 |
| concepts[12].display_name | Oncology |
| concepts[13].id | https://openalex.org/C58489278 |
| concepts[13].level | 2 |
| concepts[13].score | 0.3616351783275604 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q1172284 |
| concepts[13].display_name | Data set |
| concepts[14].id | https://openalex.org/C70721500 |
| concepts[14].level | 1 |
| concepts[14].score | 0.3614630699157715 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[14].display_name | Computational biology |
| concepts[15].id | https://openalex.org/C19527891 |
| concepts[15].level | 1 |
| concepts[15].score | 0.3459358811378479 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q1120908 |
| concepts[15].display_name | Medical physics |
| concepts[16].id | https://openalex.org/C177264268 |
| concepts[16].level | 2 |
| concepts[16].score | 0.3423013687133789 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[16].display_name | Set (abstract data type) |
| concepts[17].id | https://openalex.org/C133462117 |
| concepts[17].level | 2 |
| concepts[17].score | 0.3408414125442505 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q4929239 |
| concepts[17].display_name | Data collection |
| concepts[18].id | https://openalex.org/C2779473830 |
| concepts[18].level | 2 |
| concepts[18].score | 0.31631481647491455 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q1540899 |
| concepts[18].display_name | MEDLINE |
| concepts[19].id | https://openalex.org/C3020077223 |
| concepts[19].level | 4 |
| concepts[19].score | 0.31574657559394836 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q222046 |
| concepts[19].display_name | Genomic information |
| concepts[20].id | https://openalex.org/C163763905 |
| concepts[20].level | 2 |
| concepts[20].score | 0.30331969261169434 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q17075943 |
| concepts[20].display_name | Precision medicine |
| concepts[21].id | https://openalex.org/C535046627 |
| concepts[21].level | 2 |
| concepts[21].score | 0.2984859049320221 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q30612 |
| concepts[21].display_name | Clinical trial |
| concepts[22].id | https://openalex.org/C60644358 |
| concepts[22].level | 1 |
| concepts[22].score | 0.29789745807647705 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q128570 |
| concepts[22].display_name | Bioinformatics |
| concepts[23].id | https://openalex.org/C3019816032 |
| concepts[23].level | 3 |
| concepts[23].score | 0.2864026725292206 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q2575340 |
| concepts[23].display_name | Cancer treatment |
| concepts[24].id | https://openalex.org/C128544194 |
| concepts[24].level | 2 |
| concepts[24].score | 0.2830360233783722 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q474859 |
| concepts[24].display_name | Translational research |
| concepts[25].id | https://openalex.org/C126322002 |
| concepts[25].level | 1 |
| concepts[25].score | 0.28196796774864197 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[25].display_name | Internal medicine |
| concepts[26].id | https://openalex.org/C51679486 |
| concepts[26].level | 3 |
| concepts[26].score | 0.28191038966178894 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q380546 |
| concepts[26].display_name | DNA sequencing |
| concepts[27].id | https://openalex.org/C502991105 |
| concepts[27].level | 2 |
| concepts[27].score | 0.2609143853187561 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q5133849 |
| concepts[27].display_name | Clinical research |
| concepts[28].id | https://openalex.org/C124101348 |
| concepts[28].level | 1 |
| concepts[28].score | 0.2604126036167145 |
| concepts[28].wikidata | https://www.wikidata.org/wiki/Q172491 |
| concepts[28].display_name | Data mining |
| concepts[29].id | https://openalex.org/C512399662 |
| concepts[29].level | 1 |
| concepts[29].score | 0.25789394974708557 |
| concepts[29].wikidata | https://www.wikidata.org/wiki/Q3505712 |
| concepts[29].display_name | Family medicine |
| concepts[30].id | https://openalex.org/C3102742 |
| concepts[30].level | 3 |
| concepts[30].score | 0.2523651421070099 |
| concepts[30].wikidata | https://www.wikidata.org/wiki/Q6031177 |
| concepts[30].display_name | Information repository |
| keywords[0].id | https://openalex.org/keywords/interoperability |
| keywords[0].score | 0.6810098886489868 |
| keywords[0].display_name | Interoperability |
| keywords[1].id | https://openalex.org/keywords/cancer |
| keywords[1].score | 0.5993680357933044 |
| keywords[1].display_name | Cancer |
| keywords[2].id | https://openalex.org/keywords/clinical-oncology |
| keywords[2].score | 0.5428942441940308 |
| keywords[2].display_name | Clinical Oncology |
| keywords[3].id | https://openalex.org/keywords/argo |
| keywords[3].score | 0.470283567905426 |
| keywords[3].display_name | Argo |
| keywords[4].id | https://openalex.org/keywords/precision-oncology |
| keywords[4].score | 0.4237012565135956 |
| keywords[4].display_name | Precision oncology |
| keywords[5].id | https://openalex.org/keywords/germline |
| keywords[5].score | 0.4090522527694702 |
| keywords[5].display_name | Germline |
| keywords[6].id | https://openalex.org/keywords/genome |
| keywords[6].score | 0.39939552545547485 |
| keywords[6].display_name | Genome |
| keywords[7].id | https://openalex.org/keywords/genomics |
| keywords[7].score | 0.37793564796447754 |
| keywords[7].display_name | Genomics |
| keywords[8].id | https://openalex.org/keywords/metadata |
| keywords[8].score | 0.366723895072937 |
| keywords[8].display_name | Metadata |
| language | en |
| locations[0].id | doi:10.1038/s41597-025-06068-4 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2607323502 |
| locations[0].source.issn | 2052-4463 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2052-4463 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Data |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908 |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.nature.com/articles/s41597-025-06068-4.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Data |
| locations[0].landing_page_url | https://doi.org/10.1038/s41597-025-06068-4 |
| locations[1].id | pmid:41266369 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific data |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/41266369 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A4311085058 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-0774-2862 |
| authorships[0].author.display_name | Hardeep K. Nahal-Bose |
| authorships[0].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Hardeep K. Nahal-Bose |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[1].author.id | https://openalex.org/A2554577197 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2960-5279 |
| authorships[1].author.display_name | Peter Lichter |
| authorships[1].countries | DE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I17937529, https://openalex.org/I223822909 |
| authorships[1].affiliations[0].raw_affiliation_string | Division Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany |
| authorships[1].institutions[0].id | https://openalex.org/I17937529 |
| authorships[1].institutions[0].ror | https://ror.org/https://ror.org/04cdgtt98 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I1305996414, https://openalex.org/I17937529 |
| authorships[1].institutions[0].country_code | DE |
| authorships[1].institutions[0].display_name | German Cancer Research Center |
| authorships[1].institutions[1].id | https://openalex.org/I223822909 |
| authorships[1].institutions[1].ror | https://ror.org/https://ror.org/038t36y30 |
| authorships[1].institutions[1].type | education |
| authorships[1].institutions[1].lineage | https://openalex.org/I223822909 |
| authorships[1].institutions[1].country_code | DE |
| authorships[1].institutions[1].display_name | Heidelberg University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Peter Lichter |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Division Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany |
| authorships[2].author.id | https://openalex.org/A2120852514 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Ursula Weber |
| authorships[2].countries | DE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I223822909, https://openalex.org/I17937529 |
| authorships[2].affiliations[0].raw_affiliation_string | Division Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany |
| authorships[2].institutions[0].id | https://openalex.org/I223822909 |
| authorships[2].institutions[0].ror | https://ror.org/https://ror.org/038t36y30 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I223822909 |
| authorships[2].institutions[0].country_code | DE |
| authorships[2].institutions[0].display_name | Heidelberg University |
| authorships[2].institutions[1].id | https://openalex.org/I17937529 |
| authorships[2].institutions[1].ror | https://ror.org/https://ror.org/04cdgtt98 |
| authorships[2].institutions[1].type | facility |
| authorships[2].institutions[1].lineage | https://openalex.org/I1305996414, https://openalex.org/I17937529 |
| authorships[2].institutions[1].country_code | DE |
| authorships[2].institutions[1].display_name | German Cancer Research Center |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ursula Weber |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Division Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany |
| authorships[3].author.id | https://openalex.org/A2685245838 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Lincoln D Stein |
| authorships[3].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[3].affiliations[1].raw_affiliation_string | Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 3K3, Canada |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Lincoln D. Stein |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, ON, M5S 3K3, Canada |
| authorships[4].author.id | https://openalex.org/A2921723611 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-1402-7496 |
| authorships[4].author.display_name | Rosita Bajari |
| authorships[4].countries | US |
| authorships[4].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I4210097574, https://openalex.org/I4210114850 |
| authorships[4].affiliations[1].raw_affiliation_string | Element Biosciences, San Diego, CA, 92121, USA |
| authorships[4].institutions[0].id | https://openalex.org/I4210097574 |
| authorships[4].institutions[0].ror | https://ror.org/https://ror.org/00wph9g26 |
| authorships[4].institutions[0].type | company |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210097574 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Electronic BioSciences (United States) |
| authorships[4].institutions[1].id | https://openalex.org/I4210114850 |
| authorships[4].institutions[1].ror | https://ror.org/https://ror.org/02kh18p78 |
| authorships[4].institutions[1].type | education |
| authorships[4].institutions[1].lineage | https://openalex.org/I4210114850 |
| authorships[4].institutions[1].country_code | US |
| authorships[4].institutions[1].display_name | Elementary Institute of Science |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Rosita Bajari |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada, Element Biosciences, San Diego, CA, 92121, USA |
| authorships[5].author.id | https://openalex.org/A2740714488 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Linda Xiang |
| authorships[5].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Linda Xiang |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[6].author.id | https://openalex.org/A3012586798 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-3156-176X |
| authorships[6].author.display_name | Edmund Su |
| authorships[6].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Edmund Su |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[7].author.id | https://openalex.org/A5097357627 |
| authorships[7].author.orcid | https://orcid.org/0009-0003-2584-4912 |
| authorships[7].author.display_name | Jon Eubank |
| authorships[7].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Jon Eubank |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[8].author.id | https://openalex.org/A5080306053 |
| authorships[8].author.orcid | |
| authorships[8].author.display_name | Ciarán Schütte |
| authorships[8].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Ciarán Schütte |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[9].author.id | https://openalex.org/A1990479297 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-2958-150X |
| authorships[9].author.display_name | Christina K. Yung |
| authorships[9].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[9].affiliations[1].raw_affiliation_string | Indoc Systems, Toronto, ON, M5H 3W4, Canada |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Christina K. Yung |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada, Indoc Systems, Toronto, ON, M5H 3W4, Canada |
| authorships[10].author.id | https://openalex.org/A2225386764 |
| authorships[10].author.orcid | https://orcid.org/0000-0002-9551-6370 |
| authorships[10].author.display_name | Melanie Courtot |
| authorships[10].countries | CA |
| authorships[10].affiliations[0].raw_affiliation_string | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada |
| authorships[10].affiliations[1].raw_affiliation_string | Medical Biophysics Department, University of Toronto, Toronto, ON, M5G 2C4, Canada |
| authorships[10].affiliations[2].institution_ids | https://openalex.org/I185261750 |
| authorships[10].affiliations[2].raw_affiliation_string | Department of Computer Science, University of Toronto, Toronto, ON, M5S 2E4, Canada |
| authorships[10].institutions[0].id | https://openalex.org/I185261750 |
| authorships[10].institutions[0].ror | https://ror.org/https://ror.org/03dbr7087 |
| authorships[10].institutions[0].type | education |
| authorships[10].institutions[0].lineage | https://openalex.org/I185261750 |
| authorships[10].institutions[0].country_code | CA |
| authorships[10].institutions[0].display_name | University of Toronto |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Mélanie Courtot |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Ontario Institute for Cancer Research (OICR), Toronto, ON, M5G 1M1, Canada, Medical Biophysics Department, University of Toronto, Toronto, ON, M5G 2C4, Canada, Department of Computer Science, University of Toronto, Toronto, ON, M5S 2E4, Canada |
| authorships[11].author.id | https://openalex.org/A4311085058 |
| authorships[11].author.orcid | https://orcid.org/0000-0002-0774-2862 |
| authorships[11].author.display_name | Hardeep K. Nahal-Bose |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Hardeep K. Nahal-Bose |
| authorships[11].is_corresponding | False |
| authorships[12].author.id | https://openalex.org/A2554577197 |
| authorships[12].author.orcid | https://orcid.org/0000-0002-2960-5279 |
| authorships[12].author.display_name | Peter Lichter |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Peter Lichter |
| authorships[12].is_corresponding | False |
| authorships[13].author.id | https://openalex.org/A2120852514 |
| authorships[13].author.orcid | |
| authorships[13].author.display_name | Ursula Weber |
| authorships[13].author_position | middle |
| authorships[13].raw_author_name | Ursula Weber |
| authorships[13].is_corresponding | False |
| authorships[14].author.id | https://openalex.org/A2685245838 |
| authorships[14].author.orcid | |
| authorships[14].author.display_name | Lincoln D Stein |
| authorships[14].author_position | middle |
| authorships[14].raw_author_name | Lincoln D. Stein |
| authorships[14].is_corresponding | False |
| authorships[15].author.id | https://openalex.org/A2921723611 |
| authorships[15].author.orcid | https://orcid.org/0000-0002-1402-7496 |
| authorships[15].author.display_name | Rosita Bajari |
| authorships[15].author_position | middle |
| authorships[15].raw_author_name | Rosita Bajari |
| authorships[15].is_corresponding | False |
| authorships[16].author.id | https://openalex.org/A2740714488 |
| authorships[16].author.orcid | |
| authorships[16].author.display_name | Linda Xiang |
| authorships[16].author_position | middle |
| authorships[16].raw_author_name | Linda Xiang |
| authorships[16].is_corresponding | False |
| authorships[17].author.id | https://openalex.org/A3012586798 |
| authorships[17].author.orcid | https://orcid.org/0000-0003-3156-176X |
| authorships[17].author.display_name | Edmund Su |
| authorships[17].author_position | middle |
| authorships[17].raw_author_name | Edmund Su |
| authorships[17].is_corresponding | False |
| authorships[18].author.id | https://openalex.org/A5097357627 |
| authorships[18].author.orcid | https://orcid.org/0009-0003-2584-4912 |
| authorships[18].author.display_name | Jon Eubank |
| authorships[18].author_position | middle |
| authorships[18].raw_author_name | Jon Eubank |
| authorships[18].is_corresponding | False |
| authorships[19].author.id | https://openalex.org/A5080306053 |
| authorships[19].author.orcid | |
| authorships[19].author.display_name | Ciarán Schütte |
| authorships[19].author_position | middle |
| authorships[19].raw_author_name | Ciarán Schütte |
| authorships[19].is_corresponding | False |
| authorships[20].author.id | https://openalex.org/A1990479297 |
| authorships[20].author.orcid | https://orcid.org/0000-0003-2958-150X |
| authorships[20].author.display_name | Christina K. Yung |
| authorships[20].author_position | middle |
| authorships[20].raw_author_name | Christina K. Yung |
| authorships[20].is_corresponding | False |
| authorships[21].author.id | https://openalex.org/A2225386764 |
| authorships[21].author.orcid | https://orcid.org/0000-0002-9551-6370 |
| authorships[21].author.display_name | Melanie Courtot |
| authorships[21].author_position | last |
| authorships[21].raw_author_name | Mélanie Courtot |
| authorships[21].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.nature.com/articles/s41597-025-06068-4.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-11-20T00:00:00 |
| display_name | The ICGC ARGO data dictionary for standardizing global cancer clinical data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-23T05:10:03.516525 |
| primary_topic.id | https://openalex.org/T11287 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.4992412030696869 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1306 |
| primary_topic.subfield.display_name | Cancer Research |
| primary_topic.display_name | Cancer Genomics and Diagnostics |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1038/s41597-025-06068-4 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2607323502 |
| best_oa_location.source.issn | 2052-4463 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2052-4463 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Data |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.nature.com/articles/s41597-025-06068-4.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Data |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41597-025-06068-4 |
| primary_location.id | doi:10.1038/s41597-025-06068-4 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2607323502 |
| primary_location.source.issn | 2052-4463 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2052-4463 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Data |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908 |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.nature.com/articles/s41597-025-06068-4.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Data |
| primary_location.landing_page_url | https://doi.org/10.1038/s41597-025-06068-4 |
| publication_date | 2025-11-20 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W2786601674, https://openalex.org/W2892078063, https://openalex.org/W3135917060, https://openalex.org/W4308255668, https://openalex.org/W4379340007, https://openalex.org/W2121906867, https://openalex.org/W1996112954, https://openalex.org/W4409765253, https://openalex.org/W4300782170, https://openalex.org/W2573152477, https://openalex.org/W4387108118, https://openalex.org/W7084100845, https://openalex.org/W3118564271, https://openalex.org/W2746326048, https://openalex.org/W3097870063, https://openalex.org/W4293105950, https://openalex.org/W4396615038, https://openalex.org/W7084117082, https://openalex.org/W2099006033, https://openalex.org/W7084122695, https://openalex.org/W4283744982, https://openalex.org/W7084098898, https://openalex.org/W3139441155, https://openalex.org/W3217485783, https://openalex.org/W4315436138, https://openalex.org/W3099905215 |
| referenced_works_count | 26 |
| abstract_inverted_index.a | 69, 100 |
| abstract_inverted_index.13 | 29 |
| abstract_inverted_index.22 | 32 |
| abstract_inverted_index.By | 35 |
| abstract_inverted_index.To | 81 |
| abstract_inverted_index.an | 15, 107 |
| abstract_inverted_index.as | 133, 146 |
| abstract_inverted_index.by | 98, 142 |
| abstract_inverted_index.in | 8, 62, 121 |
| abstract_inverted_index.is | 14, 72, 126 |
| abstract_inverted_index.it | 125 |
| abstract_inverted_index.of | 59, 103, 155 |
| abstract_inverted_index.on | 165 |
| abstract_inverted_index.to | 18, 55, 91, 111 |
| abstract_inverted_index.Its | 140 |
| abstract_inverted_index.The | 1 |
| abstract_inverted_index.and | 21, 31, 49, 66, 115, 152 |
| abstract_inverted_index.its | 162 |
| abstract_inverted_index.set | 102 |
| abstract_inverted_index.the | 57, 84, 147, 153 |
| abstract_inverted_index.was | 89 |
| abstract_inverted_index.ARGO | 53, 86 |
| abstract_inverted_index.Data | 87, 137 |
| abstract_inverted_index.Hope | 156 |
| abstract_inverted_index.ICGC | 52, 85 |
| abstract_inverted_index.aims | 54 |
| abstract_inverted_index.data | 38, 75, 96, 109, 118, 130 |
| abstract_inverted_index.from | 24, 76 |
| abstract_inverted_index.such | 132, 145 |
| abstract_inverted_index.with | 39, 128 |
| abstract_inverted_index.(ICGC | 11 |
| abstract_inverted_index.ARGO) | 12 |
| abstract_inverted_index.broad | 163 |
| abstract_inverted_index.major | 70 |
| abstract_inverted_index.model | 110 |
| abstract_inverted_index.other | 129 |
| abstract_inverted_index.this, | 83 |
| abstract_inverted_index.types | 79 |
| abstract_inverted_index.Cancer | 3, 149, 157 |
| abstract_inverted_index.Common | 135 |
| abstract_inverted_index.Genome | 4 |
| abstract_inverted_index.across | 28 |
| abstract_inverted_index.cancer | 26, 63 |
| abstract_inverted_index.ensure | 92 |
| abstract_inverted_index.family | 50 |
| abstract_inverted_index.fields | 105 |
| abstract_inverted_index.global | 143 |
| abstract_inverted_index.impact | 164 |
| abstract_inverted_index.tumour | 22, 33, 78 |
| abstract_inverted_index.types. | 34 |
| abstract_inverted_index.within | 106 |
| abstract_inverted_index.100,000 | 25 |
| abstract_inverted_index.Centres | 158 |
| abstract_inverted_index.Genomic | 9 |
| abstract_inverted_index.Minimal | 134 |
| abstract_inverted_index.Network | 150, 159 |
| abstract_inverted_index.address | 82 |
| abstract_inverted_index.capture | 112 |
| abstract_inverted_index.diverse | 77 |
| abstract_inverted_index.genomes | 23 |
| abstract_inverted_index.genomic | 37, 60 |
| abstract_inverted_index.minimal | 101 |
| abstract_inverted_index.project | 13 |
| abstract_inverted_index.support | 116 |
| abstract_inverted_index.(MOHCCN) | 160 |
| abstract_inverted_index.(mCODE). | 139 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Elements | 138 |
| abstract_inverted_index.Grounded | 120 |
| abstract_inverted_index.However, | 68 |
| abstract_inverted_index.Marathon | 154 |
| abstract_inverted_index.Oncology | 10, 136 |
| abstract_inverted_index.Research | 7 |
| abstract_inverted_index.adoption | 141 |
| abstract_inverted_index.clinical | 41, 74, 95, 104, 113 |
| abstract_inverted_index.defining | 99 |
| abstract_inverted_index.germline | 20 |
| abstract_inverted_index.history, | 51 |
| abstract_inverted_index.insights | 61 |
| abstract_inverted_index.oncology | 168 |
| abstract_inverted_index.patients | 27 |
| abstract_inverted_index.sequence | 19 |
| abstract_inverted_index.advancing | 166 |
| abstract_inverted_index.challenge | 71 |
| abstract_inverted_index.countries | 30 |
| abstract_inverted_index.developed | 90 |
| abstract_inverted_index.exposures | 48 |
| abstract_inverted_index.including | 43 |
| abstract_inverted_index.outcomes, | 45 |
| abstract_inverted_index.precision | 167 |
| abstract_inverted_index.research. | 169 |
| abstract_inverted_index.standards | 131 |
| abstract_inverted_index.treatment | 44, 65 |
| abstract_inverted_index.(EUCANCan) | 151 |
| abstract_inverted_index.Consortium | 5 |
| abstract_inverted_index.Dictionary | 88 |
| abstract_inverted_index.accelerate | 56 |
| abstract_inverted_index.collection | 97 |
| abstract_inverted_index.consistent | 93 |
| abstract_inverted_index.diagnosis, | 64 |
| abstract_inverted_index.initiative | 17 |
| abstract_inverted_index.lifestyle, | 46 |
| abstract_inverted_index.worldwide. | 80 |
| abstract_inverted_index.application | 58 |
| abstract_inverted_index.collection. | 119 |
| abstract_inverted_index.event-based | 108 |
| abstract_inverted_index.harmonizing | 73 |
| abstract_inverted_index.information | 42 |
| abstract_inverted_index.initiatives | 144 |
| abstract_inverted_index.integrating | 36 |
| abstract_inverted_index.prevention. | 67 |
| abstract_inverted_index.underscores | 161 |
| abstract_inverted_index.Accelerating | 6 |
| abstract_inverted_index.high-quality | 94 |
| abstract_inverted_index.longitudinal | 117 |
| abstract_inverted_index.standardized | 123 |
| abstract_inverted_index.terminology, | 124 |
| abstract_inverted_index.International | 2 |
| abstract_inverted_index.comprehensive | 40 |
| abstract_inverted_index.environmental | 47 |
| abstract_inverted_index.international | 16, 122 |
| abstract_inverted_index.interoperable | 127 |
| abstract_inverted_index.relationships | 114 |
| abstract_inverted_index.European-Canadian | 148 |
| cited_by_percentile_year | |
| countries_distinct_count | 3 |
| institutions_distinct_count | 22 |
| citation_normalized_percentile.value | 0.77357934 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |