{"id":"https://openalex.org/W1011425321","doi":"https://doi.org/10.1007/978-3-642-36257-6_8","title":"Data Glitches: Monsters in Your Data","display_name":"Data Glitches: Monsters in Your Data","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W1011425321","doi":"https://doi.org/10.1007/978-3-642-36257-6_8","mag":"1011425321"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-36257-6_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-36257-6_8","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Data Quality","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086114454","display_name":"Tamraparni Dasu","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tamraparni Dasu","raw_affiliation_strings":["AT&T Labs Research, 180 Park Avenue, Florham Park, NJ, 07932, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs Research, 180 Park Avenue, Florham Park, NJ, 07932, USA","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5086114454"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":7.0879,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.9754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"163","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7097764015197754},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.70164555311203},{"id":"https://openalex.org/keywords/glitch","display_name":"Glitch","score":0.677408754825592},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.6762529611587524},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.6547753214836121},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6222255229949951},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5694222450256348},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5539485812187195},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5254905819892883},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.475326806306839},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.47498172521591187},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.4489804208278656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44156530499458313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1831032633781433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15252599120140076},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13452908396720886},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.1133718192577362},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09459123015403748},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06842935085296631}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7097764015197754},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.70164555311203},{"id":"https://openalex.org/C191287063","wikidata":"https://www.wikidata.org/wiki/Q543281","display_name":"Glitch","level":3,"score":0.677408754825592},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.6762529611587524},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.6547753214836121},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6222255229949951},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5694222450256348},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5539485812187195},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5254905819892883},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.475326806306839},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.47498172521591187},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.4489804208278656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44156530499458313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1831032633781433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15252599120140076},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13452908396720886},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.1133718192577362},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09459123015403748},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06842935085296631},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-36257-6_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-36257-6_8","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Handbook of Data Quality","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W199035648","https://openalex.org/W1484727516","https://openalex.org/W1551385575","https://openalex.org/W1970655212","https://openalex.org/W1983170052","https://openalex.org/W1984566373","https://openalex.org/W2108991785","https://openalex.org/W2122646361","https://openalex.org/W2165528679","https://openalex.org/W2187882913","https://openalex.org/W2278337674","https://openalex.org/W2331052961","https://openalex.org/W2403035479","https://openalex.org/W2796930440","https://openalex.org/W2912031392","https://openalex.org/W3146259567","https://openalex.org/W4300528607","https://openalex.org/W4300930575"],"related_works":["https://openalex.org/W2140328632","https://openalex.org/W2541225405","https://openalex.org/W2149184458","https://openalex.org/W4316660008","https://openalex.org/W2373956461","https://openalex.org/W1482101251","https://openalex.org/W1505247109","https://openalex.org/W2898595008","https://openalex.org/W2951424910","https://openalex.org/W2094985717"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}