{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T22:22:05Z","timestamp":1778278925648,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,6,27]],"date-time":"2017-06-27T00:00:00Z","timestamp":1498521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"University of Washington Information School"},{"DOI":"10.13039\/100000936","name":"Gordon and Betty Moore Foundation","doi-asserted-by":"publisher","award":["2013-10-29"],"award-info":[{"award-number":["2013-10-29"]}],"id":[{"id":"10.13039\/100000936","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006112","name":"Microsoft","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006112","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1464327, 1539856, 1409143"],"award-info":[{"award-number":["1464327, 1539856, 1409143"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"United States-Israel Binational Science Foundation","award":["2014391"],"award-info":[{"award-number":["2014391"]}]},{"DOI":"10.13039\/100000879","name":"Alfred P. Sloan Foundation","doi-asserted-by":"publisher","award":["3835"],"award-info":[{"award-number":["3835"]}],"id":[{"id":"10.13039\/100000879","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,6,27]]},"DOI":"10.1145\/3085504.3085530","type":"proceedings-article","created":{"date-parts":[[2017,6,5]],"date-time":"2017-06-05T12:50:05Z","timestamp":1496667005000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["Fides"],"prefix":"10.1145","author":[{"given":"Julia","family":"Stoyanovich","sequence":"first","affiliation":[{"name":"Drexel University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bill","family":"Howe","sequence":"additional","affiliation":[{"name":"University of Washington, USA and University of Washington Information School, Microsoft"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Serge","family":"Abiteboul","sequence":"additional","affiliation":[{"name":"Inria, France and CNRS, PSL Research University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerome","family":"Miklau","sequence":"additional","affiliation":[{"name":"UMass Amherst, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arnaud","family":"Sahuguet","sequence":"additional","affiliation":[{"name":"Cornell Tech, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerhard","family":"Weikum","sequence":"additional","affiliation":[{"name":"MPI Informatics, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,6,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2465351.2465355"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2618243.2618263"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/11890850_14"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/2095686.2095693"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2389241.2389249"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/2892753.2892886"},{"key":"e_1_3_2_1_7_1","volume-title":"Parameswaran","author":"Bhardwaj Anant P.","year":"2015","unstructured":"Anant P. Bhardwaj , Souvik Bhattacherjee , Amit Chavan , Amol Deshpande , Aaron J. Elmore , Samuel Madden , and Aditya G . Parameswaran . 2015 . DataHub: Collaborative Data Science & Dataset Version Management at Scale. In CIDR. http:\/\/www.cidrdb.org\/cidr2015\/Papers\/CIDR15_Paper18.pdf Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, and Aditya G. Parameswaran. 2015. DataHub: Collaborative Data Science & Dataset Version Management at Scale. In CIDR. http:\/\/www.cidrdb.org\/cidr2015\/Papers\/CIDR15_Paper18.pdf"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732286.2732292"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Peter Buneman Sanjeev Khanna and Wang Chiew Tan. 2001. Why and Where: A Characterization of Data Provenance. In ICDT. 316--330.   Peter Buneman Sanjeev Khanna and Wang Chiew Tan. 2001. Why and Where: A Characterization of Data Provenance. In ICDT. 316--330.","DOI":"10.1007\/3-540-44503-X_20"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465283"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242524.1242526"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915245"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273463.1273490"},{"key":"e_1_3_2_1_14_1","volume-title":"Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems","author":"Datta Anupam","unstructured":"Anupam Datta , Shayak Sen , and Yair Zick . 2016. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems . In IEEE SP. 598--617. Anupam Datta, Shayak Sen, and Yair Zick. 2016. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems. In IEEE SP. 598--617."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376772"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2448496.2448517"},{"key":"e_1_3_2_1_17_1","unstructured":"Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold and Aaron Roth. 2015. Generalization in Adaptive Data Analysis and Holdout Reuse. In NIPS. 2350--2358. http:\/\/papers.nips.cc\/paper\/5993-generalization-in-adaptive-data-analysis-and-holdout-reuse   Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold and Aaron Roth. 2015. Generalization in Adaptive Data Analysis and Holdout Reuse. In NIPS. 2350--2358. http:\/\/papers.nips.cc\/paper\/5993-generalization-in-adaptive-data-analysis-and-holdout-reuse"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1265530.1265535"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367510"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882957"},{"key":"e_1_3_2_1_23_1","volume-title":"DeWitt","author":"LeFevre Kristen","year":"2004","unstructured":"Kristen LeFevre , Rakesh Agrawal , Vuk Ercegovac , Raghu Ramakrishnan , Yirong Xu , and David J . DeWitt . 2004 . Limiting Disclosure in Hippocratic Databases. In VLDB. 108--119. http:\/\/www.vldb.org\/conf\/2004\/RS3P3.PDF Kristen LeFevre, Rakesh Agrawal, Vuk Ercegovac, Raghu Ramakrishnan, Yirong Xu, and David J. DeWitt. 2004. Limiting Disclosure in Hippocratic Databases. In VLDB. 108--119. http:\/\/www.vldb.org\/conf\/2004\/RS3P3.PDF"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/2212351.2212354"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733004.2733070"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749433"},{"key":"e_1_3_2_1_27_1","volume-title":"Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights","author":"Mu\u00f1oz Cecilia","year":"2016","unstructured":"Cecilia Mu\u00f1oz , Megan Smith , and DJ Patil . 2016 . Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights . The White House (May 2016). https:\/\/www.whitehouse.gov\/sites\/default\/files\/microsites\/ostp\/2016_0504_data_discrimination.pdf Cecilia Mu\u00f1oz, Megan Smith, and DJ Patil. 2016. Big Data: A Report on Algorithmic Systems, Opportunity, and Civil Rights. The White House (May 2016). https:\/\/www.whitehouse.gov\/sites\/default\/files\/microsites\/ostp\/2016_0504_data_discrimination.pdf"},{"key":"e_1_3_2_1_28_1","unstructured":"Frank Olken and Doron Rotem. 1986. Simple Random Sampling from Relational Databases. In VLDB. 160--169. http:\/\/dl.acm.org\/citation.cfm?id=645913.671474   Frank Olken and Doron Rotem. 1986. Simple Random Sampling from Relational Databases. In VLDB. 160--169. http:\/\/dl.acm.org\/citation.cfm?id=645913.671474"},{"key":"e_1_3_2_1_29_1","volume-title":"Revealing Algorithmic Rankers. Freedom to Tinker (August 5","author":"Stoyanovich Julia","year":"2016","unstructured":"Julia Stoyanovich and Ellen P. Goodman . Revealing Algorithmic Rankers. Freedom to Tinker (August 5 , 2016 ????). http:\/\/freedom-to-tinker.com\/2016\/08\/05\/revealing-algorithmic-rankers\/ Julia Stoyanovich and Ellen P. Goodman. Revealing Algorithmic Rankers. Freedom to Tinker (August 5, 2016 ????). http:\/\/freedom-to-tinker.com\/2016\/08\/05\/revealing-algorithmic-rankers\/"},{"key":"e_1_3_2_1_30_1","volume-title":"Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit. CoRR abs\/1510.02377","author":"Tram\u00e8r Florian","year":"2015","unstructured":"Florian Tram\u00e8r , Vaggelis Atlidakis , Roxana Geambasu , Daniel J. Hsu , Jean-Pierre Hubaux , Mathias Humbert , Ari Juels , and Huang Lin . 2015. Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit. CoRR abs\/1510.02377 ( 2015 ). http:\/\/arxiv.org\/abs\/1510.02377 Florian Tram\u00e8r, Vaggelis Atlidakis, Roxana Geambasu, Daniel J. Hsu, Jean-Pierre Hubaux, Mathias Humbert, Ari Juels, and Huang Lin. 2015. Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit. CoRR abs\/1510.02377 (2015). http:\/\/arxiv.org\/abs\/1510.02377"},{"key":"e_1_3_2_1_31_1","unstructured":"Qihua Wang Ting Yu Ninghui Li Jorge Lobo Elisa Bertino Keith Irwin and Ji-Won Byun. 2007. On the Correctness Criteria of Fine-Grained Access Control in Relational Databases. In VLDB. 555--566. http:\/\/www.vldb.org\/conf\/2007\/papers\/research\/p555-wang.pdf   Qihua Wang Ting Yu Ninghui Li Jorge Lobo Elisa Bertino Keith Irwin and Ji-Won Byun. 2007. On the Correctness Criteria of Fine-Grained Access Control in Relational Databases. In VLDB. 555--566. http:\/\/www.vldb.org\/conf\/2007\/papers\/research\/p555-wang.pdf"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2465288"},{"key":"e_1_3_2_1_33_1","volume-title":"Spark: Cluster Computing with Working Sets. In HotCloud. 1","author":"Zaharia Matei","year":"2010","unstructured":"Matei Zaharia , Mosharaf Chowdhury , Michael J. Franklin , Scott Shenker , and Ion Stoica . 2010 . Spark: Cluster Computing with Working Sets. In HotCloud. 1 . http:\/\/dl.acm.org\/citation.cfm?id=1863103.1863113 Matei Zaharia, Mosharaf Chowdhury, Michael J. Franklin, Scott Shenker, and Ion Stoica. 2010. Spark: Cluster Computing with Working Sets. In HotCloud. 1. http:\/\/dl.acm.org\/citation.cfm?id=1863103.1863113"}],"event":{"name":"SSDBM '17: 29th International Conference on Scientific and Statistical Database Management","location":"Chicago IL USA","acronym":"SSDBM '17","sponsor":["Northwestern University Northwestern University"]},"container-title":["Proceedings of the 29th International Conference on Scientific and Statistical Database Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3085504.3085530","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3085504.3085530","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3085504.3085530","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:36:57Z","timestamp":1750282617000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3085504.3085530"}},"subtitle":["Towards a Platform for Responsible Data Science"],"short-title":[],"issued":{"date-parts":[[2017,6,27]]},"references-count":32,"alternative-id":["10.1145\/3085504.3085530","10.1145\/3085504"],"URL":"https:\/\/doi.org\/10.1145\/3085504.3085530","relation":{},"subject":[],"published":{"date-parts":[[2017,6,27]]},"assertion":[{"value":"2017-06-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}