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Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities

Author

Listed:
  • Jan Van den Broeck
  • Solveig Argeseanu Cunningham
  • Roger Eeckels
  • Kobus Herbst

Abstract

In this policy forum the authors argue that data cleaning is an essential part of the research process, and should be incorporated into study design.

Suggested Citation

  • Jan Van den Broeck & Solveig Argeseanu Cunningham & Roger Eeckels & Kobus Herbst, 2005. "Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities," PLOS Medicine, Public Library of Science, vol. 2(10), pages 1-1, September.
    • Handle: RePEc:plo:pmed00:0020267
    DOI: 10.1371/journal.pmed.0020267
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    3. Prabhsimran Singh & Yogesh K. Dwivedi & Karanjeet Singh Kahlon & Ravinder Singh Sawhney & Ali Abdallah Alalwan & Nripendra P. Rana, 0. "Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    4. Prabhsimran Singh & Yogesh K. Dwivedi & Karanjeet Singh Kahlon & Ravinder Singh Sawhney & Ali Abdallah Alalwan & Nripendra P. Rana, 2020. "Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing," Information Systems Frontiers, Springer, vol. 22(2), pages 315-337, April.
    5. Barry Dewitt & Baruch Fischhoff & Alexander L. Davis & Stephen B. Broomell & Mark S. Roberts & Janel Hanmer, 2019. "Exclusion Criteria as Measurements I: Identifying Invalid Responses," Medical Decision Making, , vol. 39(6), pages 693-703, August.
    6. Mariano Sana & Alexander A. Weinreb, 2008. "Insiders, Outsiders, and the Editing of Inconsistent Survey Data," Sociological Methods & Research, , vol. 36(4), pages 515-541, May.
    7. James Steele & Matthew Wade & Robert J. Copeland & Stuart Stokes & Rachel Stokes & Steven Mann, 2021. "The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
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    11. Charlotte S C Woolley & Ian G Handel & B Mark Bronsvoort & Jeffrey J Schoenebeck & Dylan N Clements, 2020. "Is it time to stop sweeping data cleaning under the carpet? A novel algorithm for outlier management in growth data," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-21, January.
    12. Balan Rathakrishnan & Soon Singh Bikar Singh & Azizi Yahaya, 2022. "Perceived Social Support, Coping Strategies and Psychological Distress among University Students during the COVID-19 Pandemic: An Exploration Study for Social Sustainability in Sabah, Malaysia," Sustainability, MDPI, vol. 14(6), pages 1-13, March.
    13. Pasichnyi, Oleksii & Wallin, Jörgen & Levihn, Fabian & Shahrokni, Hossein & Kordas, Olga, 2019. "Energy performance certificates — New opportunities for data-enabled urban energy policy instruments?," Energy Policy, Elsevier, vol. 127(C), pages 486-499.
    14. Fiona Kigen & Marike Venter de Villiers, 2024. "Decoding the Symphony of Satisfaction, Commitment and Trust as Predictors of Customer Loyalty in Demarketing Situations," International Review of Management and Marketing, Econjournals, vol. 14(5), pages 235-249, September.
    15. Furqan Alam & Ahmed Almaghthawi & Iyad Katib & Aiiad Albeshri & Rashid Mehmood, 2021. "iResponse: An AI and IoT-Enabled Framework for Autonomous COVID-19 Pandemic Management," Sustainability, MDPI, vol. 13(7), pages 1-52, March.

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