Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks
| dc.contributor | Patient-Centered Outcomes Research Institute |
| dc.contributor.author | Bailey, Charles |
| dc.contributor.other | PEDSnet Data Coordinating Center |
| dc.date.accessioned | 2024-07-09T19:50:29Z |
| dc.date.available | 2024-07-09T19:50:29Z |
| dc.description | To address missed gaps in data quality, the purpose of this study is to create actionable guidelines for testing and reporting data quality, building on current practice and expanding it to address fitness for use and alignment with clinical meaning. #### Study Aims 1. Define specific guidelines for testing that allow users to assess the fitness of data for a given use, and design analytic components to address data quality issues. 2. Develop freely available assessment and reporting tools for these guidelines to enhance dissemination to study teams and network developers. 3. Test the standards and tools generating evaluative feedback and a repository of results for future benchmarking. #### Results Data quality assessment modules and results can be browsed in this repository. <br><br> - Browse the **[Data Quality Module Collection](https://pedsnet.org/metadata/communities/57fd85d3-0b50-4239-8f05-8db5e0e65a6a)**.<br> - Browse the **[Data Quality Results Collection](https://pedsnet.org/metadata/communities/9fc9a893-4a07-4773-9ac1-c368ede59dcb)**. |
| dc.description.abstract | Study aimed to define specific guidelines for data quality testing to allow users to assess fitness of data for a given use; to design analytic components to address data quality issues using a stakeholder-responsiveness process; to develop freely-available assessment and reporting tools for these guidelines. |
| dc.identifier.uri | https://pedsnet.org/metadata/handle/20.500.14642/729 |
| dc.publisher | PEDSnet |
| dc.rights | a CC-BY 4.0 Attribution license. |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ |
| dc.subject | Study::Funded Study::PEDSnet Study |
| dc.subject | Study::Investigator-Led Study |
| dc.subject.mesh | Data Accuracy |
| dc.subject.mesh | Data Collection |
| dc.subject.mesh | Reproducibility of Results |
| dc.subject.mesh | Investigative Techniques |
| dc.title | Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks |
| dspace.entity.type | Study |
| local.admin.note | https://chop365.sharepoint.com/:f:/r/teams/RSCH-ACRC/Shared%20Documents/PEDSnet/PEDSnet%20Studies/Active%20Studies/Bailey_Data%20Quality_CHOP?csf=1&web=1&e=9HCX1A |
| local.admin.note | Razzaghi H, Goodwin Davies A, Boss S, Bunnell HT, Chen Y, et al. 2024. "Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research study." **PLOS Digital Health.** 3(6): e0000527. DOI: [10.1371/journal.pdig.0000527](doi.org/10.1371/journal.pdig.0000527) |
| local.subject.flat | PEDSnet Data Source |
| local.subject.flat | Investigator-Led Study |
| local.subject.flat | Mixed Method Study |
| local.subject.flat | PEDSnet Data Source |
| local.subject.flat | REACHnet Data Source |
| local.subject.flat | INSIGHT Data Source |
| local.subject.flat | PCORI Funded Research |
| local.subject.flat | PCORI Methods Award |
| project.endDate | 2024-12 |
| project.startDate | 2022-01 |
| relation.isOrgUnitOfStudy | da841c56-bb55-405c-8b50-8f221ef62890 |
| relation.isOrgUnitOfStudy.latestForDiscovery | da841c56-bb55-405c-8b50-8f221ef62890 |