{"id":"https://openalex.org/W7160844770","doi":"https://doi.org/10.1007/s00778-026-00980-w","title":"MetaStore: A system for effectively analyzing deep learning meta-data at scale","display_name":"MetaStore: A system for effectively analyzing deep learning meta-data at scale","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160844770","doi":"https://doi.org/10.1007/s00778-026-00980-w"},"language":"en","primary_location":{"id":"doi:10.1007/s00778-026-00980-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-026-00980-w","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"},"type":"article","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/A5045756077","display_name":"Linan Zheng","orcid":"https://orcid.org/0009-0004-4437-1556"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linan Zheng","raw_affiliation_strings":["Computer Science Department, University of Arizona, Tucson, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135877325","display_name":"Huayi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huayi Zhang","raw_affiliation_strings":["ByteDance, San Jose, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance, San Jose, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135385657","display_name":"Samuel Madden","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel Madden","raw_affiliation_strings":["CSAIL,MIT, Cambridge, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSAIL,MIT, Cambridge, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135880522","display_name":"Elke Rundensteiner","orcid":null},"institutions":[{"id":"https://openalex.org/I2802289959","display_name":"Worcester Public Schools","ror":"https://ror.org/02rcj7e91","country_code":"US","type":"education","lineage":["https://openalex.org/I2802289959"]},{"id":"https://openalex.org/I808010","display_name":"University of Worcester","ror":"https://ror.org/00v6s9648","country_code":"GB","type":"education","lineage":["https://openalex.org/I808010"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Elke Rundensteiner","raw_affiliation_strings":["Computer Science,WPI, Worcester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science,WPI, Worcester, USA","institution_ids":["https://openalex.org/I2802289959","https://openalex.org/I808010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135846283","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0001-9909-8607"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Cao","raw_affiliation_strings":["Computer Science Department, University of Arizona, Tucson, USA"],"raw_orcid":"https://orcid.org/0000-0001-9909-8607","affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Arizona, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5135846283"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57986397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.37220001220703125,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.37220001220703125,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.18799999356269836,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.08139999955892563,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6679999828338623},{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.6276999711990356},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6227999925613403},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5303999781608582},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4887000024318695},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47929999232292175},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47360000014305115},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4153999984264374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104000091552734},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6679999828338623},{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6227999925613403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685999989509583},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4887000024318695},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47360000014305115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41940000653266907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4185999929904938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41429999470710754},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28110000491142273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26739999651908875},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00778-026-00980-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00778-026-00980-w","pdf_url":null,"source":{"id":"https://openalex.org/S78926909","display_name":"The VLDB Journal","issn_l":"0949-877X","issn":["0949-877X","1066-8888"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The VLDB Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1755046369","display_name":null,"funder_award_id":"2106621","funder_id":"https://openalex.org/F4320332169","funder_display_name":"Directorate for Computer and Information Science and Engineering"},{"id":"https://openalex.org/G6788352820","display_name":null,"funder_award_id":"2327954","funder_id":"https://openalex.org/F4320332167","funder_display_name":"Directorate for Biological Sciences"}],"funders":[{"id":"https://openalex.org/F4320332167","display_name":"Directorate for Biological Sciences","ror":"https://ror.org/001xhss06"},{"id":"https://openalex.org/F4320332169","display_name":"Directorate for Computer and Information Science and Engineering","ror":"https://ror.org/025kzpk63"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W1849277567","https://openalex.org/W1977983731","https://openalex.org/W2136848157","https://openalex.org/W2137406659","https://openalex.org/W2194775991","https://openalex.org/W2432911982","https://openalex.org/W2440722286","https://openalex.org/W2473418344","https://openalex.org/W2606891064","https://openalex.org/W2775776326","https://openalex.org/W2798535736","https://openalex.org/W2962858109","https://openalex.org/W2963341956","https://openalex.org/W2963693747","https://openalex.org/W2964199361","https://openalex.org/W3015276915","https://openalex.org/W3015640161","https://openalex.org/W3103649165","https://openalex.org/W3110386488","https://openalex.org/W3156669901","https://openalex.org/W3166159471","https://openalex.org/W3168479843","https://openalex.org/W3196353935","https://openalex.org/W3198843179","https://openalex.org/W4205750058","https://openalex.org/W4214502238","https://openalex.org/W4214576162","https://openalex.org/W4256049924","https://openalex.org/W4312918339","https://openalex.org/W4389609577","https://openalex.org/W4391097721","https://openalex.org/W4396601589","https://openalex.org/W4396601766"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-05-12T00:00:00"}