{"id":"https://openalex.org/W4321494673","doi":"https://doi.org/10.1162/dint_a_00188","title":"Achieving Transparency: A Metadata Perspective","display_name":"Achieving Transparency: A Metadata Perspective","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321494673","doi":"https://doi.org/10.1162/dint_a_00188"},"language":"en","primary_location":{"id":"doi:10.1162/dint_a_00188","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00188","pdf_url":null,"source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1162/dint_a_00188","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Daniel Gillman","orcid":null},"institutions":[{"id":"https://openalex.org/I1290095210","display_name":"Bureau of Labor Statistics","ror":"https://ror.org/03z2d7y96","country_code":"US","type":"government","lineage":["https://openalex.org/I1290095210","https://openalex.org/I1312264882"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Gillman","raw_affiliation_strings":["US Bureau of Labor Statistics, 2 Massachusetts Ave NE Washington District of Columbia 20212, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"US Bureau of Labor Statistics, 2 Massachusetts Ave NE Washington District of Columbia 20212, United States","institution_ids":["https://openalex.org/I1290095210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290095210"],"apc_list":null,"apc_paid":null,"fwci":0.8888,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75139152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5","issue":"1","first_page":"261","last_page":"274"},"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":0.9905999898910522,"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/T11937","display_name":"Research Data Management Practices","score":0.9745000004768372,"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/metadata","display_name":"Metadata","score":0.9374350309371948},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.8802443742752075},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.7660292983055115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6673532724380493},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.5945873260498047},{"id":"https://openalex.org/keywords/data-element","display_name":"Data element","score":0.515961229801178},{"id":"https://openalex.org/keywords/meta-data-services","display_name":"Meta Data Services","score":0.4835641086101532},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4505980610847473},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39344602823257446},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13068586587905884}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9374350309371948},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.8802443742752075},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.7660292983055115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673532724380493},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.5945873260498047},{"id":"https://openalex.org/C30872290","wikidata":"https://www.wikidata.org/wiki/Q1172389","display_name":"Data element","level":3,"score":0.515961229801178},{"id":"https://openalex.org/C136976847","wikidata":"https://www.wikidata.org/wiki/Q6822297","display_name":"Meta Data Services","level":4,"score":0.4835641086101532},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4505980610847473},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39344602823257446},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13068586587905884},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/dint_a_00188","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00188","pdf_url":null,"source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8e94e2f11bc64812a485eefc350326d7","is_oa":false,"landing_page_url":"https://doaj.org/article/8e94e2f11bc64812a485eefc350326d7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Intelligence, Vol 5, Iss 1, Pp 261-274 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/dint_a_00188","is_oa":true,"landing_page_url":"https://doi.org/10.1162/dint_a_00188","pdf_url":null,"source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1605841218","https://openalex.org/W2145179282","https://openalex.org/W2885161099","https://openalex.org/W3217439669","https://openalex.org/W4229482762","https://openalex.org/W4250337847","https://openalex.org/W4255690120"],"related_works":["https://openalex.org/W2374379029","https://openalex.org/W3084772717","https://openalex.org/W2379265733","https://openalex.org/W2372807066","https://openalex.org/W2360250168","https://openalex.org/W1503116306","https://openalex.org/W2183628870","https://openalex.org/W2527789274","https://openalex.org/W1966918112","https://openalex.org/W1935670680"],"abstract_inverted_index":{"ABSTRACT":[0],"Transparency":[1,78],"is":[2,36,42,47,50,151],"vital":[3],"to":[4,17,125,136,153],"realizing":[5],"the":[6,55,60,83,121,137,149,161],"promise":[7],"of":[8,33,59,74,102],"evidenced-based":[9],"policymaking,":[10],"where":[11],"\u201cevidence-based\u201d":[12],"means":[13],"including":[14],"information":[15,35],"as":[16],"what":[18],"data":[19],"mean":[20],"and":[21,57,77,88,91,104,110,114,131,170],"why":[22],"they":[23],"should":[24],"be":[25],"trusted.":[26],"Transparency,":[27],"in":[28,66,79,105],"turn,":[29],"requires":[30],"that":[31],"enough":[32],"this":[34,106],"provided.":[37,48],"Loosely":[38],"speaking":[39],"then,":[40],"transparency":[41,119],"achieved":[43],"when":[44],"sufficient":[45],"documentation":[46],"Sufficiency":[49],"situation":[51],"specific,":[52],"both":[53],"for":[54,82,86,117,143,156,164],"provider":[56],"consumer":[58],"documentation.":[61],"These":[62,139,166],"ideas":[63,167],"are":[64,97,141,168,173],"presented":[65],"two":[67],"recent":[68],"US":[69],"commissioned":[70],"reports:":[71],"The":[72],"Promise":[73],"Evidence-Based":[75],"Policymaking":[76],"Statistical":[80,94],"Information":[81],"National":[84],"Center":[85],"Science":[87],"Engineering":[89],"Statistics":[90],"All":[92],"Federal":[93],"Agencies.":[95],"Metadata":[96],"a":[98,126,133],"more":[99],"formalized":[100],"kind":[101],"documentation,":[103],"paper,":[107],"we":[108],"provide":[109],"demonstrate":[111],"necessary,":[112],"sufficient,":[113],"general":[115],"conditions":[116,140],"achieving":[118],"from":[120],"metadata":[122,145,157],"perspective:":[123],"conforming":[124],"specification,":[127],"providing":[128],"quality":[129,158],"metadata,":[130],"creating":[132],"usable":[134],"interface":[135],"metadata.":[138],"important":[142],"any":[144],"system,":[146],"but":[147],"here":[148],"specification":[150],"tied":[152],"our":[154],"framework":[155],"based":[159],"on":[160],"situation-specific":[162],"needs":[163],"transparency.":[165],"described,":[169],"their":[171],"interrelationships":[172],"explored.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}