Semantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks


Simple item page
dc.contributorPatient-Centered Outcomes Research Institute
dc.contributor.authorBailey, Charles
dc.contributor.otherPEDSnet Data Coordinating Center
dc.date.accessioned2024-07-09T19:50:29Z
dc.date.available2024-07-09T19:50:29Z
dc.descriptionTo 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.abstractStudy 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.urihttps://hdl.handle.net/20.500.14642/729
dc.publisherPEDSnet
dc.relation.isreferencedbyRazzaghi H, Dickinson K, Wieand K, et al. 2025. "A multifaceted approach to advancing data quality and fitness standards in multi-institutional networks." _J Am Med Inform Assoc_.;ocaf181.<br> DOI: [10.1093/jamia/ocaf181](doi.org/10.1093/jamia/ocaf181)
dc.relation.isreferencedbyRazzaghi 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.<br> DOI: [10.1371/journal.pdig.0000527](doi.org/10.1371/journal.pdig.0000527)
dc.rightsa CC-BY 4.0 Attribution license.
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.subjectPEDSnet Data Source
dc.subjectInvestigator-Led Study
dc.subjectMixed Method Study
dc.subjectPEDSnet Data Source
dc.subjectREACHnet Data Source
dc.subjectINSIGHT Data Source
dc.subjectPCORI Funded Research
dc.subjectPCORI Methods Award
dc.subject.meshData Accuracy
dc.subject.meshData Collection
dc.subject.meshReproducibility of Results
dc.subject.meshInvestigative Techniques
dc.subject.meshPathological Conditions, Signs and Symptoms
dc.titleSemantic Data Quality Standards for Multi-Center Clinical Research Studies and Networks
dspace.entity.typeStudy
local.admin.notehttps://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
project.endDate2024-12
project.startDate2022-01
relation.isCodeOfStudy929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isCodeOfStudy.latestForDiscovery929c8dfc-2c8b-4e62-8e1d-0fa06c542832
relation.isDQResultOfStudyc1c970f7-f2f3-45f8-846d-f35091536e2b
relation.isDQResultOfStudy7467dc6e-1e6e-449e-b139-4049f6543011
relation.isDQResultOfStudy120a929a-913e-4517-a821-136bfb233a31
relation.isDQResultOfStudye55f1839-fedf-4f72-8986-7e9e738e4a6c
relation.isDQResultOfStudyb23824eb-d323-49e1-a988-61bb39344324
relation.isDQResultOfStudy1c7af8b4-7b44-4099-87e8-16548f3eb0b8
relation.isDQResultOfStudyd8abb5bf-a907-4041-bef7-af663d82c0e9
relation.isDQResultOfStudy7d0e1051-3ac1-4fe4-b9b4-a3502e40c96d
relation.isDQResultOfStudy81504f8e-0419-43c3-8010-2ba603f345e6
relation.isDQResultOfStudy413c0034-caa5-47e0-bdbc-8d6452642b17
relation.isDQResultOfStudy41110767-db55-46ab-b604-847005cfe302
relation.isDQResultOfStudy9500532e-68ce-416a-bdc1-e61a9850d24f
relation.isDQResultOfStudy4716f307-2503-450e-bac0-65f69a178a72
relation.isDQResultOfStudy8bd5f102-d9a0-4154-ad02-27f31dd02543
relation.isDQResultOfStudy190c99ea-2c5b-47d5-8852-bb306feb0444
relation.isDQResultOfStudybc9619e5-ae22-4ad1-ae16-de6503d8c805
relation.isDQResultOfStudy2bbcbe22-4932-4c7e-82ed-7bc9c7c2e7d0
relation.isDQResultOfStudy95e3344b-b38c-4aba-991f-0d9d4a7d64d9
relation.isDQResultOfStudy.latestForDiscovery6d46294b-a392-4888-a7d7-071794138fc9
relation.isOrgUnitOfStudy5711a12d-78b1-4461-9108-f7ce104cd079
relation.isOrgUnitOfStudy.latestForDiscoveryda841c56-bb55-405c-8b50-8f221ef62890
relation.isPublicationOfStudy9c00acaa-9aae-46ef-a0f2-575d9c49756d
relation.isPublicationOfStudy0f64b896-5b51-4e2f-94a7-a1abbdc05088
relation.isPublicationOfStudy.latestForDiscovery9c00acaa-9aae-46ef-a0f2-575d9c49756d
relation.isStudyOfStudy1c086c73-c38d-4579-904f-02a1b9fffeb1
relation.isStudyOfStudy.latestForDiscovery1c086c73-c38d-4579-904f-02a1b9fffeb1

Files

Domains

PCORnet® Designated Studies