{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T07:27:14Z","timestamp":1766647634030,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":14,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3216122.3216124","type":"proceedings-article","created":{"date-parts":[[2018,7,10]],"date-time":"2018-07-10T16:26:42Z","timestamp":1531240002000},"page":"37-44","source":"Crossref","is-referenced-by-count":16,"title":["Quality awareness for a Successful Big Data Exploitation"],"prefix":"10.1145","author":[{"given":"Cinzia","family":"Cappiello","sequence":"first","affiliation":[{"name":"Politecnico di Milano, DEIB, Milan, Italy"}]},{"given":"Walter","family":"Sam\u00e1","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, DEIB, Milan, Italy"}]},{"given":"Monica","family":"Vitali","sequence":"additional","affiliation":[{"name":"Politecnico di Milano, DEIB, Milan, Italy"}]}],"member":"320","reference":[{"key":"key-10.1145\/3216122.3216124-1","doi-asserted-by":"crossref","unstructured":"Carlo Batini, Anisa Rula, Monica Scannapieco, and Gianluigi Viscusi. 2015. From Data Quality to Big Data Quality. J. Database Manag. 26, 1 (2015), 60--82. https:\/\/doi.org\/10.4018\/JDM.2015010103","DOI":"10.4018\/JDM.2015010103"},{"key":"key-10.1145\/3216122.3216124-2","doi-asserted-by":"crossref","unstructured":"Carlo Batini and Monica Scannapieco. 2016. Data and Information Quality - Dimensions, Principles and Techniques. Springer. https:\/\/doi.org\/10.1007\/978-3-319-24106-7","DOI":"10.1007\/978-3-319-24106-7"},{"key":"key-10.1145\/3216122.3216124-3","doi-asserted-by":"crossref","unstructured":"Laure Berti-Equille and Javier Borge-Holthoefer. 2015. Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Morgan & Claypool Publishers. https:\/\/doi.org\/10.2200\/S00676ED1V01Y201509DTM042","DOI":"10.2200\/S00676ED1V01Y201509DTM042"},{"key":"key-10.1145\/3216122.3216124-4","doi-asserted-by":"crossref","unstructured":"Elisa Bertino. 2015. Data Trustworthiness---Approaches and Research Challenges. Springer International Publishing, Cham, 17--25.","DOI":"10.1007\/978-3-319-17016-9_2"},{"key":"key-10.1145\/3216122.3216124-5","unstructured":"M. Bovee, R.P. Srivastava, and B.R. Mak. September 2001. A Conceptual Framework and Belief-Function Approach to Assessing Overall Information Quality. In Proceedings of the 6th International Conference on Information Quality. Boston, MA."},{"key":"key-10.1145\/3216122.3216124-6","doi-asserted-by":"crossref","unstructured":"Li Cai and Yangyong Zhu. 2016. The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Science Journal 14 (2016), 2.","DOI":"10.5334\/dsj-2015-002"},{"key":"key-10.1145\/3216122.3216124-7","unstructured":"Dunren Che, Mejdl Safran, and Zhiyong Peng. 2013. From Big Data to Big Data Mining: Challenges, Issues, and Opportunities. Springer Berlin Heidelberg, Berlin, Heidelberg, 1--15."},{"key":"key-10.1145\/3216122.3216124-8","doi-asserted-by":"crossref","unstructured":"Chenyun Dai, Dan Lin, Elisa Bertino, and Murat Kantarcioglu. 2008. An Approach to Evaluate Data Trustworthiness Based on Data Provenance. In Secure Data Management, 5th VLDB Workshop, SDM 2008, Auckland, New Zealand, August 24, 2008, Proceedings. 82--98. https:\/\/doi.org\/10.1007\/978-3-540-85259-9_6","DOI":"10.1007\/978-3-540-85259-9_6"},{"key":"key-10.1145\/3216122.3216124-9","doi-asserted-by":"crossref","unstructured":"Ibrahim Abaker Targio Hashem, Ibrar Yaqoob, Nor Badrul Anuar, Salimah Mokhtar, Abdullah Gani, and Samee Ullah Khan. 2015. The rise of \"big data\" on cloud computing: Review and open research issues. Inf. Syst. 47 (2015), 98--115. https:\/\/doi.org\/10.1016\/j.is.2014.07.006","DOI":"10.1016\/j.is.2014.07.006"},{"key":"key-10.1145\/3216122.3216124-10","doi-asserted-by":"crossref","unstructured":"Lars Kolb, Andreas Thor, and Erhard Rahm. 2012. Multi-pass sorted neighborhood blocking with MapReduce. Computer Science - R&D 27, 1 (2012), 45--63. https:\/\/doi.org\/10.1007\/s00450-011-0177-x","DOI":"10.1007\/s00450-011-0177-x"},{"key":"key-10.1145\/3216122.3216124-11","unstructured":"Andrew McAfee and Erik Brynjolfsson. 2012. Big Data: The Management Revolution. Harvard Business Review 90, 10 (2012), 60--68."},{"key":"key-10.1145\/3216122.3216124-12","doi-asserted-by":"crossref","unstructured":"Jorge Merino, Ismael Caballero, Bibiano Rivas, Manuel A. Serrano, and Mario Piattini. 2016. A Data Quality in Use model for Big Data. Future Generation Comp. Syst. 63 (2016), 123--130. https:\/\/doi.org\/10.1016\/j.future.2015.11.024","DOI":"10.1016\/j.future.2015.11.024"},{"key":"key-10.1145\/3216122.3216124-13","doi-asserted-by":"crossref","unstructured":"Richard Y. Wang and Diane M. Strong. 1996. Beyond Accuracy: What Data Quality Means to Data Consumers. J. of Management Information Systems 12, 4 (1996), 5--33. http:\/\/www.jmis-web.org\/articles\/1002","DOI":"10.1080\/07421222.1996.11518099"},{"key":"key-10.1145\/3216122.3216124-14","doi-asserted-by":"crossref","unstructured":"Wenlu Yang, A. DaSilva, and M.L. Picard. 2015. Computing data quality indicators on Big Data streams using a CEP. In Computational Intelligence for Multimedia Understanding (IWCIM), 2015 International Workshop on. 1--5. https:\/\/doi.org\/10.1109\/IWCIM.2015.7347061","DOI":"10.1109\/IWCIM.2015.7347061"}],"event":{"number":"22","sponsor":["Concordia University"],"acronym":"IDEAS 2018","name":"the 22nd International Database Engineering & Applications Symposium","start":{"date-parts":[[2018,6,18]]},"location":"Villa San Giovanni, Italy","end":{"date-parts":[[2018,6,20]]}},"container-title":["Proceedings of the 22nd International Database Engineering & Applications Symposium on   - IDEAS 2018"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3216122.3216124","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3216124&ftid=1986342&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:29:34Z","timestamp":1750285774000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3216122.3216124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1145\/3216122.3216124","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}