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Managing data for the international, multicentre INTERGROWTH ‐21 st Project
Author(s) -
Ohuma EO,
Hoch L,
Cosgrove C,
Knight HE,
Cheikh Ismail L,
Juodvirsiene L,
Papageorghiou AT,
AlJabri H,
Domingues M,
Gilli P,
Kunnawar N,
Musee N,
Roseman F,
Carter A,
Wu M,
Altman DG
Publication year - 2013
Publication title -
bjog: an international journal of obstetrics and gynaecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.157
H-Index - 164
eISSN - 1471-0528
pISSN - 1470-0328
DOI - 10.1111/1471-0528.12080
Subject(s) - data management , data quality , data collection , audit , database , computer science , unit (ring theory) , audit trail , data entry , data integrity , business , engineering , operations management , accounting , metric (unit) , statistics , mathematics education , mathematics
The INTERGROWTH ‐21 st Project data management was structured incorporating both a centralised and decentralised system for the eight study centres, which all used the same database and standardised data collection instruments, manuals and processes. Each centre was responsible for the entry and validation of their country‐specific data, which were entered onto a centralised system maintained by the Data Coordinating Unit in Oxford. A comprehensive data management system was designed to handle the very large volumes of data. It contained internal validations to prevent incorrect and inconsistent values being captured, and allowed online data entry by local Data Management Units, as well as real‐time management of recruitment and data collection by the Data Coordinating Unit in Oxford. To maintain data integrity, only the Data Coordinating Unit in Oxford had access to all the eight centres' data, which were continually monitored. All queries identified were raised with the relevant local data manager for verification and correction, if necessary. The system automatically logged an audit trail of all updates to the database with the date and name of the person who made the changes. These rigorous processes ensured that the data collected in the INTERGROWTH ‐21 st Project were of exceptionally high quality.