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3 results for “Synthetic cohort”
CINECA synthetic cohort Europe CH SIB [CC-BY-NC-SA]
<p>The “CINECA synthetic cohort EUROPE CH SIB” dataset consists of 6,733 synthetic samples with phenotypic and genotypic information. The synthetic phenotypic data were created from the CoLaus and PsyColaus cohort and the synthetic genetic data from the 1000 Genomes project. This dataset was created within the context of the CINECA project. More information about the creation of this dataset can be found in the included documentation. The phenotypic synthetic data is available under the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) and the genotypic data is available under the Creative Commons Attribution Non-Commercial Share-Alike license.To view a copy of the license, please visit: <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>.</p> <p> </p>
CINECA synthetic cohort NA Canada CHILD [CC-BY-NC-SA]
<p>The "CINECA synthetic cohort NA Canada CHILD" dataset is a synthetic dataset developed to provide insight into how data is structured for select common attributes in the <a href="https://childstudy.ca/">CHILD Cohort Study</a>, but not reveal any personal or identifiable information associated with cohort participants. Such synthetic datasets are valuable for software developers to be able to see specific examples of data for common attributes (i.e. a minimal metadata model of a selection of common variables usually present in cohorts). This dataset comprises 100 variables for 150 synthetic participants which have faked phenotypic data that reflects CHILD cohort data. In addition, there is genetic data based on the <a href="https://www.nature.com/articles/nature15393">1000 Genomes</a> project. This dataset was created within the context of the <a href="https://www.cineca-project.eu/">CINECA</a> project. More information about the creation of this dataset can be found in the included documentation. </p> <p><br> <em>Please note this preamble must be included with any distribution of this dataset: </em>This synthetic dataset (with cohort “participants” / ”subjects” marked with FAKE) has no identifiable data and cannot be used to make any inference about CHILD cohort data or results. The purpose of this dataset is to aid development of technical implementations for cohort data discovery, harmonization, access, and federated analysis. In support of FAIRness in data sharing, this dataset is made freely available under the Creative Commons Licence (CC-BY; <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>). Please ensure this preamble is included with this dataset and that the CHILD project and the CINECA project (funding: EC H2020 grant 825775 and CIHR grant 404896) are acknowledged. If you have any questions about this dataset contact Fiona Brinkman at brinkman@sfu.ca or Erin Gill at egill@sfu.ca.</p> <p> </p> <p><strong>CINECA synthetic cohorts</strong></p> <ul> <li><a href="https://zenodo.org/record/4955933">CINECA synthetic cohort Africa H3ABioNet</a></li> <li><a href="https://zenodo.org/record/5082689">CINECA synthetic cohort Europe CH SIB</a></li> <li><a href="https://ega-archive.org/datasets/EGAD00001006673">CINECA synthetic cohort Europe UK1</a></li> </ul> <p> </p>
SASC: A Simple Approach to Synthetic Cohorts. Applying COVID-19 clinical data to generate longitudinal observational patient cohorts and comparison with alternative synthetic cohort approaches as well as real patient data
<p>Subset from COVID-19 Dataset from https://zenodo.org/record/3766350#.YVcfyTFBxgA. Used as reference for a publication dealing with synthetic patient cohort generation.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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