Data quality (English Wikipedia)

E. Curry, A. Freitas, and S. O'Riáin, "The Role of Community-Driven Data Curation for Enterprises", Archived 2012-01-23 at the Wayback Machine in Linking Enterprise Data, D. Wood, Ed. Boston, Mass.: Springer US, 2010, pp. 25-47.

books.google.com

Redman, Thomas C. (30 December 2013). Data Driven: Profiting from Your Most Important Business Asset. Harvard Business Press. ISBN 978-1-4221-6364-1.
Smallwood, R.F. (2014). Information Governance: Concepts, Strategies, and Best Practices. John Wiley and Sons. p. 110. ISBN 9781118218303. Archived from the original on 2020-07-30. Retrieved 2020-04-18. Having a standardized data governance program in place means cleaning up corrupted or duplicated data and providing users with clean, accurate data as a basis for line-of-business software applications and for decision support analytics in business intelligence (BI) applications.
Fürber, C. (2015). "3. Data Quality". Data Quality Management with Semantic Technologies. Springer. pp. 20–55. ISBN 9783658122249. Archived from the original on 31 July 2020. Retrieved 18 April 2020.
Herzog, T.N.; Scheuren, F.J.; Winkler, W.E. (2007). "Chapter 2: What is data quality and why should we care?". Data Quality and Record Linkage Techniques. Springer Science & Business Media. pp. 7–15. ISBN 9780387695020. Archived from the original on 31 July 2020. Retrieved 18 April 2020.{{cite book}}: CS1 maint: multiple names: authors list (link)
Fleckenstein, M.; Fellows, L. (2018). "Chapter 11: Data Quality". Modern Data Strategy. Springer. pp. 101–120. ISBN 9783319689920. Archived from the original on 31 July 2020. Retrieved 18 April 2020.{{cite book}}: CS1 maint: multiple names: authors list (link)
Mahanti, R. (2019). "Chapter 1: Data, Data Quality, and Cost of Poor Data Quality". Data Quality: Dimensions, Measurement, Strategy, Management, and Governance. Quality Press. pp. 5–6. ISBN 9780873899772. Archived from the original on 23 November 2020. Retrieved 18 April 2020.

directionsmag.com

"Address Management for Mail-Order and Retail". Directions Magazine. Archived from the original on 2005-04-28. Retrieved 2010-06-25.

doi.org

Fadahunsi, Kayode Philip; Akinlua, James Tosin; O’Connor, Siobhan; Wark, Petra A; Gallagher, Joseph; Carroll, Christopher; Majeed, Azeem; O’Donoghue, John (March 2019). "Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth". BMJ Open. 9 (3): e024722. doi:10.1136/bmjopen-2018-024722. ISSN 2044-6055. PMC 6429947. PMID 30842114.
Fadahunsi, Kayode Philip; O'Connor, Siobhan; Akinlua, James Tosin; Wark, Petra A.; Gallagher, Joseph; Carroll, Christopher; Car, Josip; Majeed, Azeem; O'Donoghue, John (2021-05-17). "Information Quality Frameworks for Digital Health Technologies: Systematic Review". Journal of Medical Internet Research. 23 (5): e23479. doi:10.2196/23479. PMC 8167621. PMID 33835034.
NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup (October 2019). "NIST Big Data Interoperability Framework: Volume 4, Security and Privacy" (PDF). NIST Special Publication 1500-4r2 (3rd ed.). National Institute of Standards and Technology. doi:10.6028/NIST.SP.1500-4r2. Archived (PDF) from the original on 9 May 2020. Retrieved 18 April 2020. Validity refers to the usefulness, accuracy, and correctness of data for its application. Traditionally, this has been referred to as data quality.
Bian, Jiang; Lyu, Tianchen; Loiacono, Alexander; Viramontes, Tonatiuh Mendoza; Lipori, Gloria; Guo, Yi; Wu, Yonghui; Prosperi, Mattia; George, Thomas J; Harle, Christopher A; Shenkman, Elizabeth A (2020-12-09). "Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data". Journal of the American Medical Informatics Association. 27 (12): 1999–2010. doi:10.1093/jamia/ocaa245. ISSN 1527-974X. PMC 7727392. PMID 33166397.
Huser, Vojtech; DeFalco, Frank J; Schuemie, Martijn; Ryan, Patrick B; Shang, Ning; Velez, Mark; Park, Rae Woong; Boyce, Richard D; Duke, Jon; Khare, Ritu; Utidjian, Levon; Bailey, Charles (30 November 2016). "Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Datasets". eGEMs. 4 (1): 24. doi:10.13063/2327-9214.1239. PMC 5226382. PMID 28154833.
Mesgari, Mostafa; Chitu, Okoli; Mehdi, Mohamad; Finn Årup, Nielsen; Lanamäki, Arto (2015). ""The Sum of All Human Knowledge": A Systematic Review of Scholarly Research on the Content of Wikipedia" (PDF). Journal of the Association for Information Science and Technology. 66 (2): 219–245. doi:10.1002/asi.23172. S2CID 218071987. Archived (PDF) from the original on 2020-05-10. Retrieved 2020-01-21.
Warncke-Wang, Morten; Cosley, Dan; Riedl, John (2013). "Tell me more". Proceedings of the 9th International Symposium on Open Collaboration. pp. 1–10. doi:10.1145/2491055.2491063. ISBN 9781450318525. S2CID 18523960.
Hasan Dalip, Daniel; André Gonçalves, Marcos; Cristo, Marco; Calado, Pável (2009). "Automatic quality assessment of content created collaboratively by web communities". Proceedings of the 2009 joint international conference on Digital libraries - JCDL '09. p. 295. doi:10.1145/1555400.1555449. ISBN 9781605583228. S2CID 14421291.
Färber, Michael; Bartscherer, Frederic; Menne, Carsten; Rettinger, Achim (2017-11-30). "Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO". Semantic Web. 9 (1): 77–129. doi:10.3233/SW-170275. Archived from the original on 2018-01-22.

dtu.dk

backend.orbit.dtu.dk

Mesgari, Mostafa; Chitu, Okoli; Mehdi, Mohamad; Finn Årup, Nielsen; Lanamäki, Arto (2015). ""The Sum of All Human Knowledge": A Systematic Review of Scholarly Research on the Content of Wikipedia" (PDF). Journal of the Association for Information Science and Technology. 66 (2): 219–245. doi:10.1002/asi.23172. S2CID 218071987. Archived (PDF) from the original on 2020-05-10. Retrieved 2020-01-21.

eccma.org

"Home". ECCMA. Archived from the original on 2018-08-19. Retrieved 2018-10-03.

edq.com

"What is Data Cleansing? - Experian Data Quality". 13 February 2015. Archived from the original on 11 February 2017. Retrieved 9 February 2017.

globletrainings.com

"Lecture 23 Data Quality Concepts Tutorial – Data Warehousing". Watch Free Video Training Online. Archived from the original on 2016-12-21. Retrieved 8 December 2016.

information-management.com

"Liability and Leverage - A Case for Data Quality". Information Management. August 2006. Archived from the original on 2011-01-27. Retrieved 2010-06-25.

iospress.com

content.iospress.com

Färber, Michael; Bartscherer, Frederic; Menne, Carsten; Rettinger, Achim (2017-11-30). "Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO". Semantic Web. 9 (1): 77–129. doi:10.3233/SW-170275. Archived from the original on 2018-01-22.

iso.org

International Organization for Standardization (September 2015). "ISO 9000:2015(en) Quality management systems — Fundamentals and vocabulary". International Organization for Standardization. Archived from the original on 19 May 2020. Retrieved 18 April 2020.
"ISO/TS 8000-1:2011 Data quality -- Part 1: Overview". International Organization for Standardization. Archived from the original on 21 December 2016. Retrieved 8 December 2016.

measureevaluation.org

MEASURE Evaluation. (2017) Improving data quality in mobile community-based health information systems: Guidelines for design and implementation (tr-17-182). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/tr-17-182 Archived 2017-08-08 at the Wayback Machine
Wambugu, S. & Villella, C. (2016). mHealth for health information systems in low- and middle-income countries: Challenges and opportunities in data quality, privacy, and security (tr-16-140). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/tr-16-140 Archived 2017-08-08 at the Wayback Machine
MEASURE Evaluation. (2016) Data quality for monitoring and evaluation systems (fs-16-170). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/fs-16-170-en Archived 2017-08-08 at the Wayback Machine
MEASURE Evaluation. (2016). Routine health information systems: A curriculum on basic concepts and practice - Syllabus (sr-16-135a). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/sr-16-135a Archived 2017-08-08 at the Wayback Machine
"Data quality assurance tools". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.
"Module 4: RHIS data quality". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.
MEASURE Evaluation. "Data quality". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.

nih.gov

ncbi.nlm.nih.gov

Fadahunsi, Kayode Philip; Akinlua, James Tosin; O’Connor, Siobhan; Wark, Petra A; Gallagher, Joseph; Carroll, Christopher; Majeed, Azeem; O’Donoghue, John (March 2019). "Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth". BMJ Open. 9 (3): e024722. doi:10.1136/bmjopen-2018-024722. ISSN 2044-6055. PMC 6429947. PMID 30842114.
Fadahunsi, Kayode Philip; O'Connor, Siobhan; Akinlua, James Tosin; Wark, Petra A.; Gallagher, Joseph; Carroll, Christopher; Car, Josip; Majeed, Azeem; O'Donoghue, John (2021-05-17). "Information Quality Frameworks for Digital Health Technologies: Systematic Review". Journal of Medical Internet Research. 23 (5): e23479. doi:10.2196/23479. PMC 8167621. PMID 33835034.
Bian, Jiang; Lyu, Tianchen; Loiacono, Alexander; Viramontes, Tonatiuh Mendoza; Lipori, Gloria; Guo, Yi; Wu, Yonghui; Prosperi, Mattia; George, Thomas J; Harle, Christopher A; Shenkman, Elizabeth A (2020-12-09). "Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data". Journal of the American Medical Informatics Association. 27 (12): 1999–2010. doi:10.1093/jamia/ocaa245. ISSN 1527-974X. PMC 7727392. PMID 33166397.
Huser, Vojtech; DeFalco, Frank J; Schuemie, Martijn; Ryan, Patrick B; Shang, Ning; Velez, Mark; Park, Rae Woong; Boyce, Richard D; Duke, Jon; Khare, Ritu; Utidjian, Levon; Bailey, Charles (30 November 2016). "Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Datasets". eGEMs. 4 (1): 24. doi:10.13063/2327-9214.1239. PMC 5226382. PMID 28154833.

pubmed.ncbi.nlm.nih.gov

Fadahunsi, Kayode Philip; Akinlua, James Tosin; O’Connor, Siobhan; Wark, Petra A; Gallagher, Joseph; Carroll, Christopher; Majeed, Azeem; O’Donoghue, John (March 2019). "Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth". BMJ Open. 9 (3): e024722. doi:10.1136/bmjopen-2018-024722. ISSN 2044-6055. PMC 6429947. PMID 30842114.
Fadahunsi, Kayode Philip; O'Connor, Siobhan; Akinlua, James Tosin; Wark, Petra A.; Gallagher, Joseph; Carroll, Christopher; Car, Josip; Majeed, Azeem; O'Donoghue, John (2021-05-17). "Information Quality Frameworks for Digital Health Technologies: Systematic Review". Journal of Medical Internet Research. 23 (5): e23479. doi:10.2196/23479. PMC 8167621. PMID 33835034.
Bian, Jiang; Lyu, Tianchen; Loiacono, Alexander; Viramontes, Tonatiuh Mendoza; Lipori, Gloria; Guo, Yi; Wu, Yonghui; Prosperi, Mattia; George, Thomas J; Harle, Christopher A; Shenkman, Elizabeth A (2020-12-09). "Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data". Journal of the American Medical Informatics Association. 27 (12): 1999–2010. doi:10.1093/jamia/ocaa245. ISSN 1527-974X. PMC 7727392. PMID 33166397.
Huser, Vojtech; DeFalco, Frank J; Schuemie, Martijn; Ryan, Patrick B; Shang, Ning; Velez, Mark; Park, Rae Woong; Boyce, Richard D; Duke, Jon; Khare, Ritu; Utidjian, Levon; Bailey, Charles (30 November 2016). "Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Datasets". eGEMs. 4 (1): 24. doi:10.13063/2327-9214.1239. PMC 5226382. PMID 28154833.

nist.gov

nvlpubs.nist.gov

NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup (October 2019). "NIST Big Data Interoperability Framework: Volume 4, Security and Privacy" (PDF). NIST Special Publication 1500-4r2 (3rd ed.). National Institute of Standards and Technology. doi:10.6028/NIST.SP.1500-4r2. Archived (PDF) from the original on 9 May 2020. Retrieved 18 April 2020. Validity refers to the usefulness, accuracy, and correctness of data for its application. Traditionally, this has been referred to as data quality.

semanticscholar.org

api.semanticscholar.org

Mesgari, Mostafa; Chitu, Okoli; Mehdi, Mohamad; Finn Årup, Nielsen; Lanamäki, Arto (2015). ""The Sum of All Human Knowledge": A Systematic Review of Scholarly Research on the Content of Wikipedia" (PDF). Journal of the Association for Information Science and Technology. 66 (2): 219–245. doi:10.1002/asi.23172. S2CID 218071987. Archived (PDF) from the original on 2020-05-10. Retrieved 2020-01-21.
Warncke-Wang, Morten; Cosley, Dan; Riedl, John (2013). "Tell me more". Proceedings of the 9th International Symposium on Open Collaboration. pp. 1–10. doi:10.1145/2491055.2491063. ISBN 9781450318525. S2CID 18523960.
Hasan Dalip, Daniel; André Gonçalves, Marcos; Cristo, Marco; Calado, Pável (2009). "Automatic quality assessment of content created collaboratively by web communities". Proceedings of the 2009 joint international conference on Digital libraries - JCDL '09. p. 295. doi:10.1145/1555400.1555449. ISBN 9781605583228. S2CID 14421291.

spotlessdata.com

"Can you trust the quality of your data?". spotlessdata.com. Archived from the original on 2017-02-11.

usps.gov

ribbs.usps.gov

"USPS | PostalPro" (PDF). Archived (PDF) from the original on 2010-02-15. Retrieved 2010-06-25.

web.archive.org

Smallwood, R.F. (2014). Information Governance: Concepts, Strategies, and Best Practices. John Wiley and Sons. p. 110. ISBN 9781118218303. Archived from the original on 2020-07-30. Retrieved 2020-04-18. Having a standardized data governance program in place means cleaning up corrupted or duplicated data and providing users with clean, accurate data as a basis for line-of-business software applications and for decision support analytics in business intelligence (BI) applications.
Fürber, C. (2015). "3. Data Quality". Data Quality Management with Semantic Technologies. Springer. pp. 20–55. ISBN 9783658122249. Archived from the original on 31 July 2020. Retrieved 18 April 2020.
Herzog, T.N.; Scheuren, F.J.; Winkler, W.E. (2007). "Chapter 2: What is data quality and why should we care?". Data Quality and Record Linkage Techniques. Springer Science & Business Media. pp. 7–15. ISBN 9780387695020. Archived from the original on 31 July 2020. Retrieved 18 April 2020.{{cite book}}: CS1 maint: multiple names: authors list (link)
Fleckenstein, M.; Fellows, L. (2018). "Chapter 11: Data Quality". Modern Data Strategy. Springer. pp. 101–120. ISBN 9783319689920. Archived from the original on 31 July 2020. Retrieved 18 April 2020.{{cite book}}: CS1 maint: multiple names: authors list (link)
Mahanti, R. (2019). "Chapter 1: Data, Data Quality, and Cost of Poor Data Quality". Data Quality: Dimensions, Measurement, Strategy, Management, and Governance. Quality Press. pp. 5–6. ISBN 9780873899772. Archived from the original on 23 November 2020. Retrieved 18 April 2020.
International Organization for Standardization (September 2015). "ISO 9000:2015(en) Quality management systems — Fundamentals and vocabulary". International Organization for Standardization. Archived from the original on 19 May 2020. Retrieved 18 April 2020.
NIST Big Data Public Working Group, Definitions and Taxonomies Subgroup (October 2019). "NIST Big Data Interoperability Framework: Volume 4, Security and Privacy" (PDF). NIST Special Publication 1500-4r2 (3rd ed.). National Institute of Standards and Technology. doi:10.6028/NIST.SP.1500-4r2. Archived (PDF) from the original on 9 May 2020. Retrieved 18 April 2020. Validity refers to the usefulness, accuracy, and correctness of data for its application. Traditionally, this has been referred to as data quality.
"Liability and Leverage - A Case for Data Quality". Information Management. August 2006. Archived from the original on 2011-01-27. Retrieved 2010-06-25.
"Address Management for Mail-Order and Retail". Directions Magazine. Archived from the original on 2005-04-28. Retrieved 2010-06-25.
"USPS | PostalPro" (PDF). Archived (PDF) from the original on 2010-02-15. Retrieved 2010-06-25.
E. Curry, A. Freitas, and S. O'Riáin, "The Role of Community-Driven Data Curation for Enterprises", Archived 2012-01-23 at the Wayback Machine in Linking Enterprise Data, D. Wood, Ed. Boston, Mass.: Springer US, 2010, pp. 25-47.
"ISO/TS 8000-1:2011 Data quality -- Part 1: Overview". International Organization for Standardization. Archived from the original on 21 December 2016. Retrieved 8 December 2016.
"Can you trust the quality of your data?". spotlessdata.com. Archived from the original on 2017-02-11.
"What is Data Cleansing? - Experian Data Quality". 13 February 2015. Archived from the original on 11 February 2017. Retrieved 9 February 2017.
"Lecture 23 Data Quality Concepts Tutorial – Data Warehousing". Watch Free Video Training Online. Archived from the original on 2016-12-21. Retrieved 8 December 2016.
MEASURE Evaluation. (2017) Improving data quality in mobile community-based health information systems: Guidelines for design and implementation (tr-17-182). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/tr-17-182 Archived 2017-08-08 at the Wayback Machine
Wambugu, S. & Villella, C. (2016). mHealth for health information systems in low- and middle-income countries: Challenges and opportunities in data quality, privacy, and security (tr-16-140). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/tr-16-140 Archived 2017-08-08 at the Wayback Machine
MEASURE Evaluation. (2016) Data quality for monitoring and evaluation systems (fs-16-170). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/fs-16-170-en Archived 2017-08-08 at the Wayback Machine
MEASURE Evaluation. (2016). Routine health information systems: A curriculum on basic concepts and practice - Syllabus (sr-16-135a). Chapel Hill, NC: MEASURE Evaluation, University of North Carolina. Retrieved from https://www.measureevaluation.org/resources/publications/sr-16-135a Archived 2017-08-08 at the Wayback Machine
"Data quality assurance tools". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.
"Module 4: RHIS data quality". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.
MEASURE Evaluation. "Data quality". MEASURE Evaluation. Archived from the original on 8 August 2017. Retrieved 8 August 2017.
The World Health Organization (WHO). (2009). Monitoring and evaluation of health systems strengthening. Geneva, Switzerland: WHO. Retrieved from http://www.who.int/healthinfo/HSS_MandE_framework_Nov_2009.pdf Archived 2017-08-28 at the Wayback Machine
Mesgari, Mostafa; Chitu, Okoli; Mehdi, Mohamad; Finn Årup, Nielsen; Lanamäki, Arto (2015). ""The Sum of All Human Knowledge": A Systematic Review of Scholarly Research on the Content of Wikipedia" (PDF). Journal of the Association for Information Science and Technology. 66 (2): 219–245. doi:10.1002/asi.23172. S2CID 218071987. Archived (PDF) from the original on 2020-05-10. Retrieved 2020-01-21.
Färber, Michael; Bartscherer, Frederic; Menne, Carsten; Rettinger, Achim (2017-11-30). "Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO". Semantic Web. 9 (1): 77–129. doi:10.3233/SW-170275. Archived from the original on 2018-01-22.
"Home". ECCMA. Archived from the original on 2018-08-19. Retrieved 2018-10-03.

who.int

The World Health Organization (WHO). (2009). Monitoring and evaluation of health systems strengthening. Geneva, Switzerland: WHO. Retrieved from http://www.who.int/healthinfo/HSS_MandE_framework_Nov_2009.pdf Archived 2017-08-28 at the Wayback Machine

worldcat.org

search.worldcat.org

Fadahunsi, Kayode Philip; Akinlua, James Tosin; O’Connor, Siobhan; Wark, Petra A; Gallagher, Joseph; Carroll, Christopher; Majeed, Azeem; O’Donoghue, John (March 2019). "Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth". BMJ Open. 9 (3): e024722. doi:10.1136/bmjopen-2018-024722. ISSN 2044-6055. PMC 6429947. PMID 30842114.
Bian, Jiang; Lyu, Tianchen; Loiacono, Alexander; Viramontes, Tonatiuh Mendoza; Lipori, Gloria; Guo, Yi; Wu, Yonghui; Prosperi, Mattia; George, Thomas J; Harle, Christopher A; Shenkman, Elizabeth A (2020-12-09). "Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data". Journal of the American Medical Informatics Association. 27 (12): 1999–2010. doi:10.1093/jamia/ocaa245. ISSN 1527-974X. PMC 7727392. PMID 33166397.