Editing Data integrity (section)

== Data integrity as applied to various industries ==

* The U.S. [[Food and Drug Administration]] has created draft guidance on data integrity for the pharmaceutical manufacturers required to adhere to U.S. Code of Federal Regulations 21 CFR Parts 210–212.<ref name="HHSData16">{{cite web |url=https://www.fda.gov/downloads/drugs/guidances/ucm495891.pdf |archive-url=https://ghostarchive.org/archive/20221009/https://www.fda.gov/downloads/drugs/guidances/ucm495891.pdf |archive-date=2022-10-09 |url-status=dead |title=Data Integrity and Compliance with CGMP: Guidance for Industry |publisher=U.S. Food and Drug Administration |date=April 2016 |access-date=20 January 2018}}</ref> Outside the U.S., similar data integrity guidance has been issued by the United Kingdom (2015), Switzerland (2016), and Australia (2017).<ref name="DavidsonData17">{{cite web |url=https://www.contractpharma.com/issues/2017-07-01/view_fda-watch/data-integrity-guidance-around-the-world/ |title=Data Integrity Guidance Around the World |author=Davidson, J. |work=Contract Pharma |publisher=Rodman Media |date=18 July 2017 |access-date=20 January 2018}}</ref>
* Various standards for the manufacture of medical devices address data integrity either directly or indirectly, including [[ISO 13485]], [[ISO 14155]], and ISO 5840.<ref name="PDAData15">{{cite web |url=https://www.pda.org/docs/default-source/website-document-library/chapters/presentations/ireland/pda-data-integrity-seminar-presentations.pdf?sfvrsn=4 |format=PDF |title=Data Integrity: A perspective from the medical device regulatory and standards framework |work=Data Integrity Seminar |author=Scannel, P. |publisher=Parenteral Drug Association |pages=10–57 |date=12 May 2015 |access-date=20 January 2018 |archive-date=20 January 2018 |archive-url=https://web.archive.org/web/20180120221035/https://www.pda.org/docs/default-source/website-document-library/chapters/presentations/ireland/pda-data-integrity-seminar-presentations.pdf?sfvrsn=4 |url-status=dead }}</ref>
* In early 2017, the [[Financial Industry Regulatory Authority]] (FINRA), noting data integrity problems with automated trading and money movement surveillance systems, stated it would make "the development of a data integrity program to monitor the accuracy of the submitted data" a priority.<ref name="Cook2017_17">{{cite web |url=http://www.finra.org/industry/2017-regulatory-and-examination-priorities-letter |title=2017 Regulatory and Examination Priorities Letter |author=Cook, R. |publisher=Financial Industry Regulatory Authority |date=4 January 2017 |access-date=20 January 2018}}</ref> In early 2018, FINRA said it would expand its approach on data integrity to firms' "technology change management policies and procedures" and Treasury securities reviews.<ref name="Cook2018_18">{{cite web |url=http://www.finra.org/industry/2018-regulatory-and-examination-priorities-letter |title=2018 Regulatory and Examination Priorities Letter |author=Cook, R. |publisher=Financial Industry Regulatory Authority |date=8 January 2018 |access-date=20 January 2018}}</ref>
* Other sectors such as mining<ref name="AccentureDataInt16">{{cite web |url=https://www.accenture.com/t20160610T050736Z__w__/us-en/_acnmedia/PDF-21/Accenture-Data-Integrity-Mining-Productivity.pdf |archive-url=https://ghostarchive.org/archive/20221009/https://www.accenture.com/t20160610T050736Z__w__/us-en/_acnmedia/PDF-21/Accenture-Data-Integrity-Mining-Productivity.pdf |archive-date=2022-10-09 |url-status=live |title=Data Integrity: Enabling Effective Decisions in Mining Operations |publisher=Accenture |date=2016 |access-date=20 January 2018}}</ref> and product manufacturing<ref name="NymiIndustry17">{{cite web |url=https://nymi.com/blog/industry-40-and-cyber-physical-systems-raise-data-integrity-imperative |archive-url=https://web.archive.org/web/20180120222300/https://nymi.com/blog/industry-40-and-cyber-physical-systems-raise-data-integrity-imperative |url-status=dead |archive-date=January 20, 2018 |title=Industry 4.0 and Cyber-Physical Systems Raise the Data Integrity Imperative |work=Nymi Blog |publisher=Nymi, Inc |date=24 October 2017 |access-date=20 January 2018 }}</ref> are increasingly focusing on the importance of data integrity in associated automation and production monitoring assets.
* Cloud storage providers have long faced significant challenges ensuring the integrity or provenance of customer data and tracking violations.<ref name="PriyadharshiniData12">{{cite journal |title=Data integrity in cloud storage |journal=Proceedings from the 2012 International Conference on Advances in Engineering, Science and Management |author=Priyadharshini, B. |author2=Parvathi, P. |year=2012 |isbn=9788190904223}}</ref><ref name="ZafarASurv17">{{cite journal |title=A survey of cloud computing data integrity schemes: Design challenges, taxonomy and future trends |journal=Computers & Security |author=Zafar, F. |author2=Khan, A. |author3=Malik, S.U.R.|display-authors=et al |volume=65 |issue=3 |pages=29–49 |year=2017 |doi=10.1016/j.cose.2016.10.006}}</ref><ref name="ImranProvenance17">{{cite journal |title=Provenance based data integrity checking and verification in cloud environments |journal=PLOS ONE |author=Imran, M. |author2=Hlavacs, H. |author3=Haq, I.U.I.|display-authors=et al |volume=12 |issue=5 |pages=e0177576 |year=2017 |doi=10.1371/journal.pone.0177576 |pmid=28545151 |pmc=5435237|bibcode=2017PLoSO..1277576I |doi-access=free }}</ref>