{"id":"https://openalex.org/W7108319232","doi":"https://doi.org/10.7910/dvn/hxsed6","title":"Adaptive Multi-Interval Scale (AMIS): Open-Source Software, Source Data and Results for Normalizing and Comparing Raw & Aggregated Metrics","display_name":"Adaptive Multi-Interval Scale (AMIS): Open-Source Software, Source Data and Results for Normalizing and Comparing Raw & Aggregated Metrics","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W7108319232","doi":"https://doi.org/10.7910/dvn/hxsed6"},"language":"en","primary_location":{"id":"doi:10.7910/dvn/hxsed6","doi":"https://doi.org/10.7910/dvn/hxsed6","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/hxsed6","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.7910/dvn/hxsed6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133919461","display_name":"Gennady Grigorievich Kravtsov","orcid":"https://orcid.org/0009-0000-3405-1461","observed_orcids":["https://orcid.org/0009-0000-3405-1461"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kravtsov, Gennady","raw_affiliation_strings":["Research Center for Applied Statistics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Applied Statistics","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5133919461"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"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/T14440","display_name":"Quality of Life Measurement","score":0.9067000150680542,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14440","display_name":"Quality of Life Measurement","score":0.9067000150680542,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.021299999207258224,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.013799999840557575,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ami","display_name":"AMI","score":0.6629999876022339},{"id":"https://openalex.org/keywords/aggregate-data","display_name":"aggregated data","score":0.7509999871253967},{"id":"https://openalex.org/keywords/frequency-distribution","display_name":"frequency distribution","score":0.9279999732971191},{"id":"https://openalex.org/keywords/inverse-transformation","display_name":"inverse transformation","score":0.7310000061988831},{"id":"https://openalex.org/keywords/data-integration","display_name":"data integration","score":0.6660000085830688},{"id":"https://openalex.org/keywords/open-source-python-package","display_name":"open-source Python package","score":0.5260000228881836},{"id":"https://openalex.org/keywords/reproducibility","display_name":"reproducibility","score":0.7559999823570251}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7067999839782715},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6912999749183655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866999864578247},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6621999740600586},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6621000170707703},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5565999746322632},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5289000272750854},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48829999566078186},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C150670458","wikidata":"https://www.wikidata.org/wiki/Q4272815","display_name":"Data transformation","level":3,"score":0.45339998602867126},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43619999289512634},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26030001044273376},{"id":"https://openalex.org/C2780665216","wikidata":"https://www.wikidata.org/wiki/Q6934498","display_name":"Multi-source","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.25859999656677246},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7910/dvn/hxsed6","doi":"https://doi.org/10.7910/dvn/hxsed6","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/hxsed6","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.7910/dvn/hxsed6","doi":"https://doi.org/10.7910/dvn/hxsed6","is_oa":true,"landing_page_url":"https://doi.org/10.7910/dvn/hxsed6","pdf_url":null,"source":{"id":"https://openalex.org/S4377196806","display_name":"Harvard Dataverse","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7117778039","https://openalex.org/W7105552316","https://openalex.org/W7221037073","https://openalex.org/W7123689771","https://openalex.org/W7172541818","https://openalex.org/W7165449535","https://openalex.org/W4417037898","https://openalex.org/W7105567196","https://openalex.org/W4394261280","https://openalex.org/W4394097033"],"abstract_inverted_index":{"This":[0],"dataset":[1,54,98],"contains":[2],"the":[3,8,24,61,74,103],"complete":[4],"resources":[5],"for":[6,83,110],"applying":[7],"Adaptive":[9],"Multi-Interval":[10],"Scale":[11],"(AMIS)":[12],"method":[13,22],"to":[14,39,70],"normalize":[15],"and":[16,46,68,73,91,105,114],"compare":[17],"heterogeneous":[18],"data.":[19],"The":[20,53,97],"AMIS":[21,63],"addresses":[23],"fundamental":[25],"problem":[26],"of":[27,76,102],"integrating":[28],"indicators":[29],"measured":[30],"in":[31],"fundamentally":[32],"incomparable":[33],"scales.":[34],"It":[35,79],"is":[36],"specifically":[37],"designed":[38],"work":[40],"with":[41],"both":[42],"raw":[43],"individual":[44],"measurements":[45],"aggregated":[47,85],"data":[48,66,86,112],"(frequency":[49],"distributions,":[50],"summary":[51],"tables).":[52],"provides":[55,106],"open-source":[56],"Python":[57],"software":[58],"that":[59],"implements":[60],"full":[62,100],"pipeline:":[64],"from":[65],"loading":[67],"transformation":[69,95],"adaptive":[71],"normalization":[72],"creation":[75],"matching":[77],"tables.":[78],"includes":[80],"tested":[81],"algorithms":[82],"converting":[84],"into":[87],"a":[88,92,107],"normalized":[89],"form":[90],"robust":[93],"inverse":[94],"mechanism.":[96],"ensures":[99],"reproducibility":[101],"research":[104],"practical":[108],"toolkit":[109],"interdisciplinary":[111],"integration":[113],"analysis.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-12-03T00:00:00"}