Attributable, Legible, Contemporaneous, Original, Accurate

Preferred Label : Attributable, Legible, Contemporaneous, Original, Accurate;

NCIt related terms : ALCOA;

NCIt definition : Fundamental elements of data integrity as described by the US Food and Drug Administration; this acronym stands for attributable, legible, contemporaneous, original, and accurate.;

Alternative definition : CDISC-GLOSS: Acronym for a number of attributes or dimensions that are considered of universal importance for data integrity of source data and the records that hold those data. These include that the data and records be: A-Attributable (to both subject and to any actor on a record); L-Legible (available for human review, possible to read electronically if an encoded eRecord); C-Contemporaneous (timing of data collection with respect to the time the observation is made: the more promptly an observation is recorded, the better the quality.); O-Original (the first suitably accurate and reliable recording of data for the intended purpose); A-Accurate (free from error especially as the result of care; an accurate diagnosis conforming exactly to truth or to a standard). NOTE: ALCOA stemmed from FDA's Dr. Stan Woollen's talks in the early 90's on earmarks for the quality of records and has become a widespread acronym reflecting best practices for clarity and usability of data. [From EMA Reflection Paper on eSOURCE in effect since 2010] See also: Data Quality and the Origin of ALCOA. See also: Six Primary Dimensions for Data Quality Assessment. See also ALCOA , ALCOA , data integrity, data quality.;

NCI Metathesaurus CUI : CL935780;

Origin ID

C156621;

UMLS CUI

C4744946;

Automatic exact mappings (from CISMeF team)
- Ethanol [LOINC component]
- alcoholics [MeSH Descriptor]
- alcohols [MeSH Descriptor]
Semantic type(s)
- Intellectual Product [UMLS semantic type]
concept_is_in_subset
- CDISC Glossary Terminology [NCIt concept]
- Clinical Data Interchange Standards Consortium Terminology [NCIt concept]

Keyword's position in hierarchy(ies) :

Details

Main resources

You can consult :