"Data Accuracy" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A measure of scientific precision, exactness, or correctness of quantitative or qualitative values, relative to the actual or true measurements.
| Descriptor ID |
D000068598
|
| MeSH Number(s) |
E05.318.308.028 E05.318.780.725.250 L01.399.250.202 N05.715.360.300.202 N05.715.360.780.685.250
|
| Concept/Terms |
Data Accuracy- Data Accuracy
- Accuracies, Data
- Accuracy, Data
- Data Accuracies
Data Quality- Data Quality
- Data Qualities
- Qualities, Data
- Quality, Data
|
Below are MeSH descriptors whose meaning is more general than "Data Accuracy".
Below are MeSH descriptors whose meaning is more specific than "Data Accuracy".
This graph shows the total number of publications written about "Data Accuracy" by people in this website by year, and whether "Data Accuracy" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 2015 | 3 | 0 | 3 |
| 2016 | 0 | 3 | 3 |
| 2017 | 1 | 0 | 1 |
| 2018 | 0 | 1 | 1 |
| 2019 | 1 | 1 | 2 |
| 2020 | 1 | 0 | 1 |
| 2021 | 1 | 1 | 2 |
| 2023 | 1 | 0 | 1 |
| 2024 | 1 | 1 | 2 |
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Below are the most recent publications written about "Data Accuracy" by people in Profiles.
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ASO Visual Abstract: National Cancer Database Conforms with Standardized Framework for Registry and Data Quality. Ann Surg Oncol. 2024 Sep; 31(9):5589-5590.
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The National Cancer Database Conforms to the Standardized Framework for Registry and Data Quality. Ann Surg Oncol. 2024 Sep; 31(9):5546-5559.
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Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes. Diabetes Care. 2023 07 01; 46(7):1316-1326.
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Data quality methods through remote source data verification auditing: results from the Congenital Cardiac Research Collaborative. Cardiol Young. 2021 Nov; 31(11):1829-1834.
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Mind the clinical-analytic gap: Electronic health records and COVID-19 pandemic response. J Biomed Inform. 2021 04; 116:103715.
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How much can we trust electronic health record data? Healthc (Amst). 2020 Sep; 8(3):100444.
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Evaluation of the Use of Cancer Registry Data for Comparative Effectiveness Research. JAMA Netw Open. 2020 07 01; 3(7):e2011985.
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Principles and procedures for data and safety monitoring in pragmatic clinical trials. Trials. 2019 Dec 09; 20(1):690.
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Comprehensive comparative outcomes in children with congenital heart disease: The rationale for the Congenital Catheterization Research Collaborative. Congenit Heart Dis. 2019 May; 14(3):341-349.
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Electronic health record tools to assist with children's insurance coverage: a mixed methods study. BMC Health Serv Res. 2018 May 10; 18(1):354.