Changes
On September 12, 2024 at 12:14:06 PM UTC,
-
Added resource Patient Dirty Large to Synthetic Breast Cancer Data
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| 3 | "accrualPeriodicity": "", | 3 | "accrualPeriodicity": "", | ||
| 4 | "author": "Philipp D. Rohde", | 4 | "author": "Philipp D. Rohde", | ||
| 5 | "author_email": "", | 5 | "author_email": "", | ||
| 6 | "citation": [], | 6 | "citation": [], | ||
| 7 | "conformsTo": "", | 7 | "conformsTo": "", | ||
| 8 | "creator_user_id": "b6005781-6560-475f-aeea-d834a83f0d8f", | 8 | "creator_user_id": "b6005781-6560-475f-aeea-d834a83f0d8f", | ||
| 9 | "defined_in": "https://doi.org/10.1016/j.inffus.2024.102557", | 9 | "defined_in": "https://doi.org/10.1016/j.inffus.2024.102557", | ||
| 10 | "doi": "10.57702/4qixxfy9", | 10 | "doi": "10.57702/4qixxfy9", | ||
| 11 | "doi_date_published": null, | 11 | "doi_date_published": null, | ||
| 12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
| 13 | "doi_status": false, | 13 | "doi_status": false, | ||
| 14 | "domain": "https://ldm.kisski.de", | 14 | "domain": "https://ldm.kisski.de", | ||
| 15 | "end_date": "", | 15 | "end_date": "", | ||
| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Antonio Jesus Diaz-Honrubia", | 18 | "extra_author": "Antonio Jesus Diaz-Honrubia", | ||
| 19 | "orcid": "0000-0001-5464-0714" | 19 | "orcid": "0000-0001-5464-0714" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "extra_author": "Emetis Niazmand", | 22 | "extra_author": "Emetis Niazmand", | ||
| 23 | "orcid": "0000-0001-8194-8079" | 23 | "orcid": "0000-0001-8194-8079" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Maria-Esther Vidal", | 26 | "extra_author": "Maria-Esther Vidal", | ||
| 27 | "orcid": "0000-0003-1160-8727" | 27 | "orcid": "0000-0003-1160-8727" | ||
| 28 | } | 28 | } | ||
| 29 | ], | 29 | ], | ||
| 30 | "groups": [], | 30 | "groups": [], | ||
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| 34 | "language": "", | 34 | "language": "", | ||
| 35 | "license_id": "cc-by-sa", | 35 | "license_id": "cc-by-sa", | ||
| 36 | "license_title": "Creative Commons Attribution Share-Alike", | 36 | "license_title": "Creative Commons Attribution Share-Alike", | ||
| 37 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | 37 | "license_url": "http://www.opendefinition.org/licenses/cc-by-sa", | ||
| 38 | "link_orkg": "https://www.orkg.org/orkg/paper/R705607", | 38 | "link_orkg": "https://www.orkg.org/orkg/paper/R705607", | ||
| 39 | "maintainer": "", | 39 | "maintainer": "", | ||
| 40 | "maintainer_email": "", | 40 | "maintainer_email": "", | ||
| 41 | "metadata_created": "2024-09-12T10:50:03.237738", | 41 | "metadata_created": "2024-09-12T10:50:03.237738", | ||
| n | 42 | "metadata_modified": "2024-09-12T12:13:47.583908", | n | 42 | "metadata_modified": "2024-09-12T12:14:06.908637", |
| 43 | "name": "synthetic-breast-cancer-data", | 43 | "name": "synthetic-breast-cancer-data", | ||
| 44 | "notes": "The data is generated using the [Synthetic Data | 44 | "notes": "The data is generated using the [Synthetic Data | ||
| 45 | Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which | 45 | Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which | ||
| 46 | generates process-based breast cancer treatment data following the | 46 | generates process-based breast cancer treatment data following the | ||
| 47 | distribution in a real population of breast cancer patients. The | 47 | distribution in a real population of breast cancer patients. The | ||
| 48 | collection comprises a total of 18 data sets, nine for relational | 48 | collection comprises a total of 18 data sets, nine for relational | ||
| 49 | databases and nine for RDF-based knowledge graphs. For each data | 49 | databases and nine for RDF-based knowledge graphs. For each data | ||
| 50 | format, there are three different sizes of data sets:\r\n\r\n+ _Small_ | 50 | format, there are three different sizes of data sets:\r\n\r\n+ _Small_ | ||
| 51 | models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ | 51 | models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ | ||
| 52 | _Large_ models 100,000 patients\r\n\r\nThere are three data sets of | 52 | _Large_ models 100,000 patients\r\n\r\nThere are three data sets of | ||
| 53 | each size. They differ in the parameter used for the mutation | 53 | each size. They differ in the parameter used for the mutation | ||
| 54 | probability of the data generator. The lower this value is, the closer | 54 | probability of the data generator. The lower this value is, the closer | ||
| 55 | the data is to following the treatment guideline for breast cancer | 55 | the data is to following the treatment guideline for breast cancer | ||
| 56 | patients with an amplified HER2 gene.", | 56 | patients with an amplified HER2 gene.", | ||
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| 58 | "num_tags": 2, | 58 | "num_tags": 2, | ||
| 59 | "orcid": "0000-0002-9835-4354", | 59 | "orcid": "0000-0002-9835-4354", | ||
| 60 | "organization": { | 60 | "organization": { | ||
| 61 | "approval_status": "approved", | 61 | "approval_status": "approved", | ||
| 62 | "created": "2017-11-23T17:30:37.757128", | 62 | "created": "2017-11-23T17:30:37.757128", | ||
| 63 | "description": "The German National Library of Science and | 63 | "description": "The German National Library of Science and | ||
| 64 | Technology, abbreviated TIB, is the national library of the Federal | 64 | Technology, abbreviated TIB, is the national library of the Federal | ||
| 65 | Republic of Germany for all fields of engineering, technology, and the | 65 | Republic of Germany for all fields of engineering, technology, and the | ||
| 66 | natural sciences.", | 66 | natural sciences.", | ||
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| 319 | "state": "draft", | 348 | "state": "draft", | ||
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