Data Accuracy
"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
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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
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Concept/Terms |
Data Accuracy- Data Accuracy
- Accuracies, Data
- Accuracy, Data
- Data Accuracies
Data Quality- Data Quality
- Data Qualities
- Qualities, Data
- Quality, Data
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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 |
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2010 | 1 | 0 | 1 | 2014 | 0 | 2 | 2 | 2015 | 4 | 0 | 4 | 2016 | 1 | 2 | 3 | 2017 | 2 | 2 | 4 | 2018 | 3 | 2 | 5 | 2019 | 0 | 3 | 3 | 2020 | 1 | 6 | 7 | 2021 | 2 | 2 | 4 | 2022 | 1 | 2 | 3 | 2023 | 0 | 2 | 2 | 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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Torok M, Hewitson I, Hutton A, Scallan Walter E, Jervis R. Collecting a Sexual History During Shigellosis Case Investigations: Nationwide Practices and an Assessment of Data Quality. Foodborne Pathog Dis. 2024 Jun; 21(6):353-359.
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Mramba LK, Liu X, Lynch KF, Yang J, Aronsson CA, Hummel S, Norris JM, Virtanen SM, Hakola L, Uusitalo UM, Krischer JP. Detecting potential outliers in longitudinal data with time-dependent covariates. Eur J Clin Nutr. 2024 Apr; 78(4):344-350.
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Hendrix J, Epperson LE, Tong EI, Chan YL, Hasan NA, Dawrs SN, Norton GJ, Virdi R, Crooks JL, Chan ED, Honda JR, Strong M. Complete genome assembly of Hawai'i environmental nontuberculous mycobacteria reveals unexpected co-isolation with methylobacteria. PLoS One. 2023; 18(9):e0291072.
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Butala NM, Jiwani K, Bucholz EM. Consistency of Physician Data Across Health Insurer Directories. JAMA. 2023 03 14; 329(10):841-842.
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Opotowsky AR, Allen KY, Bucholz EM, Burns KM, Del Nido P, Fenton KN, Gelb BD, Kirkpatrick JN, Kutty S, Lambert LM, Lopez KN, Olivieri LJ, Pajor NM, Pasquali SK, Petit CJ, Sood E, VanBuren JM, Pearson GD, Miyamoto SD. Pediatric and Congenital Cardiovascular Disease Research Challenges and?Opportunities: JACC?Review Topic of the Week. J Am Coll Cardiol. 2022 12 06; 80(23):2239-2250.
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Garza MY, Williams T, Myneni S, Fenton SH, Ounpraseuth S, Hu Z, Lee J, Snowden J, Zozus MN, Walden AC, Simon AE, McClaskey B, Sanders SG, Beauman SS, Ford SR, Malloch L, Wilson A, Devlin LA, Young LW. Measuring and controlling medical record abstraction (MRA) error rates in an observational study. BMC Med Res Methodol. 2022 08 15; 22(1):227.
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Malenka DJ, Bhatt DL, Bradley SM, Shahian DM, Draoui J, Segawa CA, Koutras C, Abbott JD, Blankenship JC, Vincent R, Windle J, Tsai TT, Curtis J, Roe M, Masoudi FA. The National Cardiovascular Data Registry Data Quality Program 2020: JACC?State-of-the-Art?Review. J Am Coll Cardiol. 2022 05 03; 79(17):1704-1712.
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Cramer EY, Ray EL, Lopez VK, Bracher J, Brennen A, Castro Rivadeneira AJ, Gerding A, Gneiting T, House KH, Huang Y, Jayawardena D, Kanji AH, Khandelwal A, Le K, M?hlemann A, Niemi J, Shah A, Stark A, Wang Y, Wattanachit N, Zorn MW, Gu Y, Jain S, Bannur N, Deva A, Kulkarni M, Merugu S, Raval A, Shingi S, Tiwari A, White J, Abernethy NF, Woody S, Dahan M, Fox S, Gaither K, Lachmann M, Meyers LA, Scott JG, Tec M, Srivastava A, George GE, Cegan JC, Dettwiller ID, England WP, Farthing MW, Hunter RH, Lafferty B, Linkov I, Mayo ML, Parno MD, Rowland MA, Trump BD, Zhang-James Y, Chen S, Faraone SV, Hess J, Morley CP, Salekin A, Wang D, Corsetti SM, Baer TM, Eisenberg MC, Falb K, Huang Y, Martin ET, McCauley E, Myers RL, Schwarz T, Sheldon D, Gibson GC, Yu R, Gao L, Ma Y, Wu D, Yan X, Jin X, Wang YX, Chen Y, Guo L, Zhao Y, Gu Q, Chen J, Wang L, Xu P, Zhang W, Zou D, Biegel H, Lega J, McConnell S, Nagraj VP, Guertin SL, Hulme-Lowe C, Turner SD, Shi Y, Ban X, Walraven R, Hong QJ, Kong S, van de Walle A, Turtle JA, Ben-Nun M, Riley S, Riley P, Koyluoglu U, DesRoches D, Forli P, Hamory B, Kyriakides C, Leis H, Milliken J, Moloney M, Morgan J, Nirgudkar N, Ozcan G, Piwonka N, Ravi M, Schrader C, Shakhnovich E, Siegel D, Spatz R, Stiefeling C, Wilkinson B, Wong A, Cavany S, Espa?a G, Moore S, Oidtman R, Perkins A, Kraus D, Kraus A, Gao Z, Bian J, Cao W, Lavista Ferres J, Li C, Liu TY, Xie X, Zhang S, Zheng S, Vespignani A, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Xiong X, Zheng A, Baek J, Farias V, Georgescu A, Levi R, Sinha D, Wilde J, Perakis G, Bennouna MA, Nze-Ndong D, Singhvi D, Spantidakis I, Thayaparan L, Tsiourvas A, Sarker A, Jadbabaie A, Shah D, Della Penna N, Celi LA, Sundar S, Wolfinger R, Osthus D, Castro L, Fairchild G, Michaud I, Karlen D, Kinsey M, Mullany LC, Rainwater-Lovett K, Shin L, Tallaksen K, Wilson S, Lee EC, Dent J, Grantz KH, Hill AL, Kaminsky J, Kaminsky K, Keegan LT, Lauer SA, Lemaitre JC, Lessler J, Meredith HR, Perez-Saez J, Shah S, Smith CP, Truelove SA, Wills J, Marshall M, Gardner L, Nixon K, Burant JC, Wang L, Gao L, Gu Z, Kim M, Li X, Wang G, Wang Y, Yu S, Reiner RC, Barber R, Gakidou E, Hay SI, Lim S, Murray C, Pigott D, Gurung HL, Baccam P, Stage SA, Suchoski BT, Prakash BA, Adhikari B, Cui J, Rodr?guez A, Tabassum A, Xie J, Keskinocak P, Asplund J, Baxter A, Oruc BE, Serban N, Arik SO, Dusenberry M, Epshteyn A, Kanal E, Le LT, Li CL, Pfister T, Sava D, Sinha R, Tsai T, Yoder N, Yoon J, Zhang L, Abbott S, Bosse NI, Funk S, Hellewell J, Meakin SR, Sherratt K, Zhou M, Kalantari R, Yamana TK, Pei S, Shaman J, Li ML, Bertsimas D, Skali Lami O, Soni S, Tazi Bouardi H, Ayer T, Adee M, Chhatwal J, Dalgic OO, Ladd MA, Linas BP, Mueller P, Xiao J, Wang Y, Wang Q, Xie S, Zeng D, Green A, Bien J, Brooks L, Hu AJ, Jahja M, McDonald D, Narasimhan B, Politsch C, Rajanala S, Rumack A, Simon N, Tibshirani RJ, Tibshirani R, Ventura V, Wasserman L, O'Dea EB, Drake JM, Pagano R, Tran QT, Ho LST, Huynh H, Walker JW, Slayton RB, Johansson MA, Biggerstaff M, Reich NG. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proc Natl Acad Sci U S A. 2022 04 12; 119(15):e2113561119.
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Pfaff ER, Girvin AT, Gabriel DL, Kostka K, Morris M, Palchuk MB, Lehmann HP, Amor B, Bissell M, Bradwell KR, Gold S, Hong SS, Loomba J, Manna A, McMurry JA, Niehaus E, Qureshi N, Walden A, Zhang XT, Zhu RL, Moffitt RA, Haendel MA, Chute CG, Adams WG, Al-Shukri S, Anzalone A, Baghal A, Bennett TD, Bernstam EV, Bernstam EV, Bissell MM, Bush B, Campion TR, Castro V, Chang J, Chaudhari DD, Chen W, Chu S, Cimino JJ, Crandall KA, Crooks M, Davies SJD, DiPalazzo J, Dorr D, Eckrich D, Eltinge SE, Fort DG, Golovko G, Gupta S, Haendel MA, Hajagos JG, Hanauer DA, Harnett BM, Horswell R, Huang N, Johnson SG, Kahn M, Khanipov K, Kieler C, Luzuriaga KR, Maidlow S, Martinez A, Mathew J, McClay JC, McMahan G, Melancon B, Meystre S, Miele L, Morizono H, Pablo R, Patel L, Phuong J, Popham DJ, Pulgarin C, Santos C, Sarkar IN, Sazo N, Setoguchi S, Soby S, Surampalli S, Suver C, Vangala UMR, Visweswaran S, Oehsen JV, Walters KM, Wiley L, Williams DA, Zai A. Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J Am Med Inform Assoc. 2022 03 15; 29(4):609-618.
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Cho S, Weng C, Kahn MG, Natarajan K. Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study. JMIR Mhealth Uhealth. 2021 12 23; 9(12):e31618.
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