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We further outline the intensive efforts involved in rehabilitating data when integrity is undermined. Through a multi-sited ethnographic study in multiple healthcare organizations, we trace four empirical examples of situated data integrity breakdown (negotiated category breakdown, category expansion breakdown, data mismatch breakdown, and data disaggregation breakdown), linking the triggers, responses, and rehabilitation efforts in each case. We argue that organizations need to take the ongoing work of retraining personnel, modifying IT systems, and\/or shifting data collection practices into account to rehabilitate data whose integrity will be inevitably undermined as a result of shifting needs, goals, expectations, and\/or IT systems across a connected data ecosystem. In so doing, we offer insights into the often unpredictable impacts of attempts to leverage data, thereby enriching the discourse on data-driven decision-making and its implications for organizational strategy and practice.<\/jats:p>","DOI":"10.25300\/misq\/2025\/17587","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:10:49Z","timestamp":1761844249000},"page":"615-640","source":"Crossref","is-referenced-by-count":1,"title":["The Myth of Good Data: An Ecosystem Perspective on Data Integrity Breakdown and Rehabilitation"],"prefix":"10.25300","volume":"50","author":[{"given":"Kathleen H.","family":"Pine","sequence":"first","affiliation":[{"name":"College of Health Solutions, Arizona State University Los Angeles, CA, U.S.A"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melissa","family":"Mazmanian","sequence":"additional","affiliation":[{"name":"Department of Informatics, University of California, Irvine Irvine, CA, U.S.A."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10933","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"issue":"2","key":"2026060112020782600_b1-08_ra_10_25300_misq_2025_17587","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1080\/07421222.2021.1912928","article-title":"The making of data commodities: Data analytics as an embedded process","volume":"38","author":"Aaltonen","year":"2021","journal-title":"Journal of Management Information Systems"},{"issue":"3","key":"2026060112020782600_b2-08_ra_10_25300_misq_2025_17587","doi-asserted-by":"publisher","first-page":"1448","DOI":"10.1287\/isre.2019.0357","article-title":"The performative production of trace data in knowledge work","volume":"35","author":"Aaltonen","year":"2024","journal-title":"Information Systems Research"},{"issue":"3-4","key":"2026060112020782600_b3-08_ra_10_25300_misq_2025_17587","first-page":"128","article-title":"How machine learning will transform supply chain management","volume":"103","author":"Agrawal","year":"2024","journal-title":"Harvard Business Review"},{"key":"2026060112020782600_b4-08_ra_10_25300_misq_2025_17587","volume-title":"Creating a data-driven organization: Practical advice from the trenches","author":"Anderson","year":"2015"},{"key":"2026060112020782600_b5-08_ra_10_25300_misq_2025_17587","unstructured":"Aviv, R.\n           (2014). 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