{"id":"https://openalex.org/W7106125993","doi":"https://doi.org/10.48550/arxiv.2511.13773","title":"PRITES: An integrative framework for investigating and assessing web-scraped HTTP-response datasets for research applications","display_name":"PRITES: An integrative framework for investigating and assessing web-scraped HTTP-response datasets for research applications","publication_year":2025,"publication_date":"2025-11-15","ids":{"openalex":"https://openalex.org/W7106125993","doi":"https://doi.org/10.48550/arxiv.2511.13773"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.13773","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.13773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.13773","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Huang, Cynthia A.","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huang, Cynthia A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lam, Tina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lam, Tina","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.17759999632835388,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.17759999632835388,"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"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.08739999681711197,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.0794999971985817,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.6222000122070312},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5476999878883362},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.42640000581741333},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4239000082015991},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4226999878883362},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.34790000319480896}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7117000222206116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833000183105469},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.6222000122070312},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5476999878883362},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.42640000581741333},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4239000082015991},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3377000093460083},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C14224292","wikidata":"https://www.wikidata.org/wiki/Q13600188","display_name":"Conceptual framework","level":2,"score":0.2648000121116638}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.13773","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.13773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2511.13773","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.13773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.41608351469039917,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,133,212],"ability":[1],"to":[2,15,95,114,164,183,190],"programmatically":[3],"retrieve":[4],"vast":[5],"quantities":[6],"of":[7,18,42,72,76,104,121,146,156,167,225],"data":[8,46,78,202],"from":[9,44],"online":[10,45],"sources":[11,47],"has":[12,31],"given":[13],"rise":[14],"increasing":[16],"usage":[17],"web-scraped":[19,50,77,107,122,148,158,176,192,228],"datasets":[20,123,206],"for":[21,195,207],"various":[22],"purposes":[23],"across":[24,58,91],"government,":[25],"industry":[26,201],"and":[27,40,48,63,68,74,84,89,101,130,169,174,221],"academia.":[28],"Contemporaneously,":[29],"there":[30],"also":[32],"been":[33],"growing":[34],"discussion":[35],"about":[36],"the":[37,105,119,144,181,188,217],"statistical":[38,61,85,170],"qualities":[39],"limitations":[41],"collecting":[43,173],"analysing":[49,175],"datasets.":[51,108,159,229],"However,":[52],"literature":[53],"on":[54],"web-scraping":[55,73,99],"is":[56],"distributed":[57],"computer":[59],"science,":[60],"methodology":[62],"application":[64],"domains,":[65],"with":[66],"distinct":[67],"occasionally":[69],"conflicting":[70],"definitions":[71],"conceptualisations":[75],"quality.":[79],"This":[80],"work":[81,186],"synthesises":[82],"technical":[83,168],"concepts,":[86],"best":[87],"practices":[88],"insights":[90],"these":[92],"relevant":[93],"disciplines":[94],"inform":[96],"documentation":[97],"during":[98,118,143],"processes,":[100],"quality":[102,137],"assessment":[103],"resultant":[106],"We":[109,160,178],"propose":[110],"an":[111,200],"integrated":[112],"framework":[113,134,182,218],"cover":[115],"multiple":[116],"processes":[117],"creation":[120],"including":[124],"'Plan',":[125],"'Retrieve',":[126],"'Investigate',":[127],"'Transform',":[128],"'Evaluate'":[129],"'Summarise'":[131],"(PRITES).":[132],"groups":[135],"related":[136,185],"factors":[138],"which":[139],"should":[140],"be":[141],"monitored":[142],"collection":[145],"new":[147],"data,":[149],"and/or":[150],"investigated":[151],"when":[152],"assessing":[153],"potential":[154],"applications":[155],"existing":[157,165],"connect":[161],"each":[162],"stage":[163],"discussions":[166],"challenges":[171],"in":[172],"data.":[177],"then":[179],"apply":[180],"describe":[184],"by":[187,199],"co-authors":[189],"adapt":[191],"retail":[193],"prices":[194],"alcoholic":[196],"beverages":[197],"collected":[198],"partner":[203],"into":[204],"analysis-ready":[205],"public":[208],"health":[209],"policy":[210],"research.":[211],"case":[213],"study":[214],"illustrates":[215],"how":[216],"supports":[219],"accurate":[220],"comprehensive":[222],"scientific":[223],"reporting":[224],"studies":[226],"using":[227]},"counts_by_year":[],"updated_date":"2025-11-20T23:17:41.989164","created_date":"2025-11-20T00:00:00"}