TY - JOUR
T1 - Data integrity violations
T2 - A challenge to the pharmaceutical industry
AU - Jaiswal, Himani
AU - Muddukrishna, B. S.
AU - Kulyadi, Girish Pai
N1 - Publisher Copyright:
© 2020, International Journal of Pharmaceutical Quality Assurance. All rights reserved.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Data integrity refers to data reliability throughout the data lifecycle. Terminology “ALCOA” means that the data should be attributable, legible, contemporaneously recorded, original, and accurate. “ALCOA Plus” was introduced later. Violation of the integrity of data is termed as a breach of data integrity. It can take place in various fields, but not limited to manufacturing, quality control (QC), quality assurance (QA), and research. Some of the reasons for breach in data integrity are fabrication or duplication of data, out of specification, out of trend, back-dating, manipulation of data, inadequate standard operating procedures (SOPs), common usernames, and shared passwords. A study to assess the impact of data integrity violations based on the US FDA warning letters was conducted. The majority of data integrity breaches belonged to QC. The frequency of letters based on the country has been presented in the form of a graph. China and India received the highest number of letters for breach of data integrity in the year 2018 and 2017 respectively. It can be concluded that it is important to enforce data integrity and develop strategies for the same. The study is beneficial to understand the reason, affected field of work and remediation methods for data integrity, and improve regulatory compliance.
AB - Data integrity refers to data reliability throughout the data lifecycle. Terminology “ALCOA” means that the data should be attributable, legible, contemporaneously recorded, original, and accurate. “ALCOA Plus” was introduced later. Violation of the integrity of data is termed as a breach of data integrity. It can take place in various fields, but not limited to manufacturing, quality control (QC), quality assurance (QA), and research. Some of the reasons for breach in data integrity are fabrication or duplication of data, out of specification, out of trend, back-dating, manipulation of data, inadequate standard operating procedures (SOPs), common usernames, and shared passwords. A study to assess the impact of data integrity violations based on the US FDA warning letters was conducted. The majority of data integrity breaches belonged to QC. The frequency of letters based on the country has been presented in the form of a graph. China and India received the highest number of letters for breach of data integrity in the year 2018 and 2017 respectively. It can be concluded that it is important to enforce data integrity and develop strategies for the same. The study is beneficial to understand the reason, affected field of work and remediation methods for data integrity, and improve regulatory compliance.
UR - https://www.scopus.com/pages/publications/85087639871
UR - https://www.scopus.com/inward/citedby.url?scp=85087639871&partnerID=8YFLogxK
U2 - 10.25258/ijpqa.11.1.30
DO - 10.25258/ijpqa.11.1.30
M3 - Review article
AN - SCOPUS:85087639871
SN - 0975-9506
VL - 11
SP - 196
EP - 198
JO - International Journal of Pharmaceutical Quality Assurance
JF - International Journal of Pharmaceutical Quality Assurance
IS - 1
ER -