{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T15:49:09Z","timestamp":1792856949641,"version":"4.5.0"},"reference-count":39,"publisher":"China Science Publishing & Media Ltd.","issue":"1-2","content-domain":{"domain":["www.mitpressjournals.org"],"crossmark-restriction":true},"short-container-title":["Data Intellegence"],"published-print":{"date-parts":[[2020,1]]},"abstract":"<jats:p> Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can inherently contribute to the FAIR data principles: by processing data according to established metadata; by creating metadata themselves during the processing of data; and by tracking and recording data provenance. These properties aid data quality assessment and contribute to secondary data usage. 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UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Cohen-Boulakia","sequence":"additional","affiliation":[{"name":"Laboratoire de Recherche en Informatique, CNRS, Universit\u00e9                         Paris-Saclay, Batiment 650, Universit\u00e9 Paris-Sud, 91405 ORSAY Cedex,                         France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stian","family":"Soiland-Reyes","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Manchester, Oxford Road,                         Manchester M13 9PL, UK"},{"name":"Common Workflow Language project, Software Freedom Conservancy, Inc. 137                         Montague St STE 380, NY 11201-3548, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Garijo","sequence":"additional","affiliation":[{"name":"Information Sciences Institute, University of Southern California, Marina                         Del 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