{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T10:49:29Z","timestamp":1779101369616,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":99,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T00:00:00Z","timestamp":1556755200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,2]]},"DOI":"10.1145\/3290605.3300356","type":"proceedings-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T17:04:32Z","timestamp":1556557472000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":231,"title":["How Data Science Workers Work with Data"],"prefix":"10.1145","author":[{"given":"Michael","family":"Muller","sequence":"first","affiliation":[{"name":"IBM Research, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ingrid","family":"Lange","sequence":"additional","affiliation":[{"name":"IBM Research, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dakuo","family":"Wang","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Piorkowski","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jason","family":"Tsay","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Q. Vera","family":"Liao","sequence":"additional","affiliation":[{"name":"IBM Research, Yorktown Heights, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Casey","family":"Dugan","sequence":"additional","affiliation":[{"name":"IBM Research, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Erickson","sequence":"additional","affiliation":[{"name":"Unaffiliated, Minneapolis, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2666652.2666663"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1287\/isre.2014.0546"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3046947"},{"key":"e_1_3_2_1_4_1","volume-title":"Data engineers vs. data scientists. O'Reilly. https:\/\/www.oreilly.com\/ideas\/data-engineers-vs-data-scientists","author":"Anderson Jesse","year":"2018","unstructured":"Jesse Anderson ( 2018 ). Data engineers vs. data scientists. O'Reilly. https:\/\/www.oreilly.com\/ideas\/data-engineers-vs-data-scientists . Jesse Anderson (2018). Data engineers vs. data scientists. O'Reilly. https:\/\/www.oreilly.com\/ideas\/data-engineers-vs-data-scientists ."},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. Web Science","author":"Aroyo Lora","year":"2013","unstructured":"Lora Aroyo and Chris Welty ( 2013 ). Crowd truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard . Proc. Web Science 2013. Lora Aroyo and Chris Welty (2013). Crowd truth: Harnessing disagreement in crowdsourcing a relation extraction gold standard. Proc. Web Science 2013."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10844-006-0035-7"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3210586.3210587"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951716654502"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518812"},{"key":"e_1_3_2_1_10_1","volume-title":"Mapping fiction: Social networks and the novel. Presentation at Shifting (the) boundaries conference","author":"Bilis H\u00e9l\u00e8ne","year":"2018","unstructured":"H\u00e9l\u00e8ne Bilis ( 2018 ). Mapping fiction: Social networks and the novel. Presentation at Shifting (the) boundaries conference , Wellesley College . H\u00e9l\u00e8ne Bilis (2018). Mapping fiction: Social networks and the novel. Presentation at Shifting (the) boundaries conference, Wellesley College."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.2307\/2088165"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/160940690600500304"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2012.678878"},{"key":"e_1_3_2_1_14_1","volume-title":"The rise of the DIY data scientist","author":"Byrne Ciara","year":"2013","unstructured":"Ciara Byrne ( 2013 ). The rise of the DIY data scientist . Fast Company . https:\/\/www.fastcompany.com\/3014018\/the-rise-of-the-diy-data-scientist . Ciara Byrne (2013). The rise of the DIY data scientist. Fast Company. https:\/\/www.fastcompany.com\/3014018\/the-rise-of-the-diy-data-scientist ."},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 12th European Conference on Information Systems (ECIS","author":"Carroll Jennie","year":"2004","unstructured":"Jennie Carroll . 2004 . Completing design in use: closing the appropriation cycle . In Proceedings of the 12th European Conference on Information Systems (ECIS 2004). 337--347. Jennie Carroll. 2004. Completing design in use: closing the appropriation cycle. In Proceedings of the 12th European Conference on Information Systems (ECIS 2004). 337--347."},{"key":"e_1_3_2_1_16_1","volume-title":"Constructing grounded theory","author":"Charmaz Kathy","year":"2015","unstructured":"Kathy Charmaz ( 2015 ). Constructing grounded theory . Sage . Kathy Charmaz (2015). Constructing grounded theory. Sage."},{"key":"e_1_3_2_1_17_1","volume-title":"Proc. ACIS","author":"Chatfield Akemi T.","year":"2014","unstructured":"Akemi T. Chatfield , Vivian N. Shlemoon , Wilbur Redublado , and Faizur Rahman ( 2014 ). Data scientists as game changers in big data environments . Proc. ACIS 2014, 1--11. Akemi T. Chatfield, Vivian N. Shlemoon, Wilbur Redublado, and Faizur Rahman (2014). Data scientists as game changers in big data environments. Proc. ACIS 2014, 1--11."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2675133.2675291"},{"key":"e_1_3_2_1_19_1","volume-title":"The nature of expertise","author":"Chi Madeline T.H.","unstructured":"Madeline T.H. Chi , Robert Glaser , and Marshall Farr (1988\/2014) (eds.). The nature of expertise . Psychology Press . Madeline T.H. Chi, Robert Glaser, and Marshall Farr (1988\/2014) (eds.). The nature of expertise. Psychology Press."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/263552.263578"},{"key":"e_1_3_2_1_21_1","volume-title":"Strauss","author":"Corbin Juliet","year":"2007","unstructured":"Juliet Corbin and Anselm L . Strauss ( 2007 ). Basics of qualitative research: Techniques and procedures for developing grounded theory. 3 rd edition. Newbury Park, CA, USA : Sage . Juliet Corbin and Anselm L. Strauss (2007). Basics of qualitative research: Techniques and procedures for developing grounded theory. 3rd edition. Newbury Park, CA, USA: Sage.","edition":"3"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.destud.2005.11.004"},{"key":"e_1_3_2_1_23_1","first-page":"27","article-title":"Designing for appropriation","volume":"2007","author":"Dix Alan","year":"2007","unstructured":"Alan Dix ( 2007 ). Designing for appropriation . Proc. BCS-HCI 2007 , 27 -- 30 . Alan Dix (2007). Designing for appropriation. Proc. BCS-HCI 2007, 27--30.","journal-title":"Proc. BCS-HCI"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.07.014"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3152889"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1080\/13645579.2010.494930"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2785467"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025837"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2598510.2598553"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3064663.3064730"},{"key":"e_1_3_2_1_31_1","volume-title":"Value sensitive design and information systems","author":"Friedman Batya","year":"2006","unstructured":"Batya Friedman , Peter H. Kahn , and Alan Borning ( 2006 ). Value sensitive design and information systems . In P. Zhang and D. Galletta (eds.), HumanComputer Interaction and Management Information Systems: Foundations . M.E. Sharpe . Batya Friedman, Peter H. Kahn, and Alan Borning (2006). Value sensitive design and information systems. In P. Zhang and D. Galletta (eds.), HumanComputer Interaction and Management Information Systems: Foundations. M.E. Sharpe."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9302.001.0001"},{"key":"e_1_3_2_1_33_1","volume-title":"Doing grounded theory: Issues and discussions","author":"Glaser Barney G.","year":"1998","unstructured":"Barney G. Glaser ( 1998 ). Doing grounded theory: Issues and discussions . Mill Valley, CA : Sociology Press . Barney G. Glaser (1998). Doing grounded theory: Issues and discussions. Mill Valley, CA: Sociology Press."},{"key":"e_1_3_2_1_34_1","volume-title":"The grounded theory perspective III: Theoretical coding","author":"Glaser Barney G.","year":"2005","unstructured":"Barney G. Glaser ( 2005 ). The grounded theory perspective III: Theoretical coding . Mill Valley, CA, USA : Sociology Press . Barney G. Glaser (2005). The grounded theory perspective III: Theoretical coding. Mill Valley, CA, USA: Sociology Press."},{"key":"e_1_3_2_1_35_1","volume-title":"Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise","author":"Glaser Robert","unstructured":"Robert Glaser and Micheline T.H . Chi (1988\/2014). Overview . In Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise . Taylor and Francis . Robert Glaser and Micheline T.H. Chi (1988\/2014). Overview. In Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise. Taylor and Francis."},{"key":"e_1_3_2_1_36_1","volume-title":"3 ways data preparation tools help you get ahead of big data. Forrester. https:\/\/go.forrester.com\/blogs\/15-02--17--3_ways_data _preparation_ tools_help_you_get_ahead_of_big_data\/","author":"Goetz Michele","year":"2015","unstructured":"Michele Goetz ( 2015 ). 3 ways data preparation tools help you get ahead of big data. Forrester. https:\/\/go.forrester.com\/blogs\/15-02--17--3_ways_data _preparation_ tools_help_you_get_ahead_of_big_data\/ . Michele Goetz (2015). 3 ways data preparation tools help you get ahead of big data. Forrester. https:\/\/go.forrester.com\/blogs\/15-02--17--3_ways_data _preparation_ tools_help_you_get_ahead_of_big_data\/ ."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951718786316"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-013-0689-4"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/2047196.2047205"},{"key":"e_1_3_2_1_40_1","volume-title":"A majority of data scientists lack competency in advanced machine learning areas and techniques. BusinessOverBroadway","author":"Hayes Bob","year":"2018","unstructured":"Bob Hayes ( 2018 a). A majority of data scientists lack competency in advanced machine learning areas and techniques. BusinessOverBroadway , http:\/\/businessoverbroadway.com\/a-majority-of-data-scientists-lackcompetency-in-advanced-machine-learning-areas-and-techniques . Bob Hayes (2018a). A majority of data scientists lack competency in advanced machine learning areas and techniques. BusinessOverBroadway, http:\/\/businessoverbroadway.com\/a-majority-of-data-scientists-lackcompetency-in-advanced-machine-learning-areas-and-techniques ."},{"key":"e_1_3_2_1_41_1","volume-title":"Most used data science tools and technologies in 2017 and what to expect for","author":"Hayes Bob","year":"2018","unstructured":"Bob Hayes ( 2018 c). Most used data science tools and technologies in 2017 and what to expect for 2018. BusinessOverBroadway . http:\/\/businessoverbroadway.com\/most-used-data-science-tools-andtechnologies-in-2017-and-what-to-expect-for-2018 . Bob Hayes (2018c). Most used data science tools and technologies in 2017 and what to expect for 2018. BusinessOverBroadway. http:\/\/businessoverbroadway.com\/most-used-data-science-tools-andtechnologies-in-2017-and-what-to-expect-for-2018 ."},{"key":"e_1_3_2_1_42_1","volume-title":"Top 10 challenges to practicing data science at work. BusinessOverBroadway","author":"Hayes Bob","year":"2018","unstructured":"Bob Hayes ( 2018 b). Top 10 challenges to practicing data science at work. BusinessOverBroadway . http:\/\/businessoverbroadway .com\/top-10challenges-to-practicing-data-science-at-work . Bob Hayes (2018b). Top 10 challenges to practicing data science at work. BusinessOverBroadway. http:\/\/businessoverbroadway .com\/top-10challenges-to-practicing-data-science-at-work ."},{"key":"e_1_3_2_1_43_1","volume-title":"Proc. CIDR","author":"Heer Jeffrey","year":"2015","unstructured":"Jeffrey Heer , Joseph M. Hellerstein , and Sean Kandel ( 2015 ). Predictive interaction for data transformation . Proc. CIDR 2015. Jeffrey Heer, Joseph M. Hellerstein, and Sean Kandel (2015). Predictive interaction for data transformation. Proc. CIDR 2015."},{"key":"e_1_3_2_1_44_1","volume-title":"The fourth paradigm: Data-intensive scientific discovery. Microsoft Research","author":"Hey Tony","year":"2009","unstructured":"Tony Hey , Stewart Tansley , and Kristin Tolle ( 2009 ). The fourth paradigm: Data-intensive scientific discovery. Microsoft Research . Tony Hey, Stewart Tansley, and Kristin Tolle (2009). The fourth paradigm: Data-intensive scientific discovery. Microsoft Research."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3022198.3026351"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2016.08.011"},{"key":"e_1_3_2_1_47_1","volume-title":"Kaggle ML and data science survey","author":"Kaggle","year":"2017","unstructured":"Kaggle ( 2017 ). Kaggle ML and data science survey , 2017: A big picture view of the state of data science and machine learning. Kaggle . https:\/\/www.kaggle.com\/kaggle\/kaggle-survey-2017 . Kaggle (2017). Kaggle ML and data science survey, 2017: A big picture view of the state of data science and machine learning. Kaggle. https:\/\/www.kaggle.com\/kaggle\/kaggle-survey-2017 ."},{"key":"e_1_3_2_1_48_1","volume-title":"Doing data science: A Kaggle walkthrough -- Cleaning data. https:\/\/www.kdnuggets.com\/2016\/03\/doing-data-science-kaggleawalkthrough-cleaning-data.html","year":"2018","unstructured":"KDNuggets. ( 2018 ). Doing data science: A Kaggle walkthrough -- Cleaning data. https:\/\/www.kdnuggets.com\/2016\/03\/doing-data-science-kaggleawalkthrough-cleaning-data.html . KDNuggets. (2018). Doing data science: A Kaggle walkthrough -- Cleaning data. https:\/\/www.kdnuggets.com\/2016\/03\/doing-data-science-kaggleawalkthrough-cleaning-data.html ."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979444"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344858"},{"key":"e_1_3_2_1_51_1","volume-title":"Transparent to whom? No algorithmic accountability without a critical audience. Info. Comm. & Soc","author":"Kemper Jakko","year":"2018","unstructured":"Jakko Kemper and Daan Kolkman ( 2018 ). Transparent to whom? No algorithmic accountability without a critical audience. Info. Comm. & Soc . Jakko Kemper and Daan Kolkman (2018). Transparent to whom? No algorithmic accountability without a critical audience. Info. Comm. & Soc."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/191666.191740"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/2884781.2884783"},{"key":"e_1_3_2_1_54_1","volume-title":"2015 data science salary survey: Tools, trends, what pays (and what doesn't) data professionals. O,Reilly","author":"King John","year":"2015","unstructured":"John King and Roger Magoulas ( 2015 ). 2015 data science salary survey: Tools, trends, what pays (and what doesn't) data professionals. O,Reilly . http:\/\/www.eli.sdsu.edu\/courses\/fall16\/cs696\/2015-data-science-salarysurvey.pdf . John King and Roger Magoulas (2015). 2015 data science salary survey: Tools, trends, what pays (and what doesn't) data professionals. O,Reilly. http:\/\/www.eli.sdsu.edu\/courses\/fall16\/cs696\/2015-data-science-salarysurvey.pdf ."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2501105.2501106"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025756"},{"key":"e_1_3_2_1_57_1","unstructured":"Cheng Han Lee (2014). Data career paths: Data analyst vs. data scientist vs. data engineer: 3 data careers decoded and what it means for you. Udacity. https:\/\/blog.udacity.com\/2014\/12\/data-analyst-vs-data-scientist-vs-dataengineer.html  Cheng Han Lee (2014). Data career paths: Data analyst vs. data scientist vs. data engineer: 3 data careers decoded and what it means for you. Udacity. https:\/\/blog.udacity.com\/2014\/12\/data-analyst-vs-data-scientist-vs-dataengineer.html"},{"key":"e_1_3_2_1_58_1","volume-title":"Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise","author":"Lesgold Alan","unstructured":"Alan Lesgold , Harriet Rubinson , Paul Feltovich , Robert Glaser , Dale Klopfer , and Yen Wang (1988\/2014). Expertise in a complex skill: Diagnosing X-ray pictures . In Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise . Taylor and Francis . Alan Lesgold, Harriet Rubinson, Paul Feltovich, Robert Glaser, Dale Klopfer, and Yen Wang (1988\/2014). Expertise in a complex skill: Diagnosing X-ray pictures. In Michelene T.H. Chi, Robert Glaser, and Marshall J. Farr (eds). (1988\/2014). The nature of expertise. Taylor and Francis."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858399"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531614"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.5555\/2818754.2818839"},{"key":"e_1_3_2_1_62_1","volume-title":"Preparing data for analysis is (more than) half the battle. Analysis Factor. https:\/\/www.theanalysisfactor.com\/preparing-dataanalysis\/","author":"Martin Karen Grace","year":"2018","unstructured":"Karen Grace Martin ( 2018 ). Preparing data for analysis is (more than) half the battle. Analysis Factor. https:\/\/www.theanalysisfactor.com\/preparing-dataanalysis\/ . Karen Grace Martin (2018). Preparing data for analysis is (more than) half the battle. Analysis Factor. https:\/\/www.theanalysisfactor.com\/preparing-dataanalysis\/ ."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2648.2007.04436.x"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818048.2819978"},{"key":"e_1_3_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3105809"},{"issue":"1","key":"e_1_3_2_1_66_1","first-page":"26","article-title":"Collaborative approaches needed to close the big data knowledge and skills gap","volume":"3","author":"Miller Steven","year":"2014","unstructured":"Steven Miller ( 2014 ). Collaborative approaches needed to close the big data knowledge and skills gap . J. Org. Des. 3 ( 1 ), 26 -- 30 . Steven Miller (2014). Collaborative approaches needed to close the big data knowledge and skills gap. J. Org. Des. 3(1), 26--30.","journal-title":"J. Org. Des."},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/2304496.2304498"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4939-0378-8_2"},{"key":"e_1_3_2_1_69_1","volume-title":"DevOps for data scientists: Taming the unicorn. Medium: Towards Data Science, https:\/\/towardsdatascience.com\/devopsfor-data-scientists-taming-the-unicorn-6410843990de","author":"Nazrul Syed Sadat","year":"2018","unstructured":"Syed Sadat Nazrul ( 2018 ). DevOps for data scientists: Taming the unicorn. Medium: Towards Data Science, https:\/\/towardsdatascience.com\/devopsfor-data-scientists-taming-the-unicorn-6410843990de . Syed Sadat Nazrul (2018). DevOps for data scientists: Taming the unicorn. Medium: Towards Data Science, https:\/\/towardsdatascience.com\/devopsfor-data-scientists-taming-the-unicorn-6410843990de ."},{"key":"e_1_3_2_1_70_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2016.0050"},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998331"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357160"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702298"},{"key":"e_1_3_2_1_74_1","doi-asserted-by":"publisher","DOI":"10.1177\/2053951717753228"},{"key":"e_1_3_2_1_75_1","doi-asserted-by":"publisher","DOI":"10.1215\/9780822381396-001"},{"key":"e_1_3_2_1_76_1","volume-title":"Informatics for materials science and engineering: Datadriven discovery for materials science and engineering","author":"Rajan Krishna","year":"2013","unstructured":"Krishna Rajan ( 2013 ). Informatics for materials science and engineering: Datadriven discovery for materials science and engineering . Elsevier . Krishna Rajan (2013). Informatics for materials science and engineering: Datadriven discovery for materials science and engineering. Elsevier."},{"key":"e_1_3_2_1_77_1","volume-title":"Proc. VLDB","author":"Raman Vijayshankar","year":"2001","unstructured":"Vijayshankar Raman and Joseph M . Hellerstein (2001). Potter's wheel: An interactive data cleaning system . Proc. VLDB 2001 . Vijayshankar Raman and Joseph M. Hellerstein (2001). Potter's wheel: An interactive data cleaning system. Proc. VLDB 2001."},{"key":"e_1_3_2_1_78_1","volume-title":"Principles of data wrangling: Practical techniques for data preparation. O'Reilly","author":"Rattenbury Tye","year":"2017","unstructured":"Tye Rattenbury , Joseph M. Hellerstein , Jeffrey Heer , Sean Kandel , and Connor Carreras ( 2017 ). Principles of data wrangling: Practical techniques for data preparation. O'Reilly . Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel, and Connor Carreras (2017). Principles of data wrangling: Practical techniques for data preparation. O'Reilly."},{"key":"e_1_3_2_1_79_1","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998344"},{"key":"e_1_3_2_1_80_1","doi-asserted-by":"publisher","DOI":"10.1145\/2677199.2680587"},{"key":"e_1_3_2_1_81_1","doi-asserted-by":"publisher","DOI":"10.1177\/2043820613514321"},{"key":"e_1_3_2_1_82_1","volume-title":"Yannis Kallianos, and Camilla Lewis","author":"Ruppert Evelyn","year":"2015","unstructured":"Evelyn Ruppert , Penny Harvey , Celia Lury , Adrian Mackenzie , Ruth McNally , Stephanie Alice Baker , Yannis Kallianos, and Camilla Lewis ( 2015 ). Socializing big data: From concept to practice. CRESC, U. Manchester, Open U. Evelyn Ruppert, Penny Harvey, Celia Lury, Adrian Mackenzie, Ruth McNally, Stephanie Alice Baker, Yannis Kallianos, and Camilla Lewis (2015). Socializing big data: From concept to practice. CRESC, U. Manchester, Open U."},{"key":"e_1_3_2_1_83_1","volume-title":"Sensemaking workshop 2008. CHI EA 2008, 4751--4754","author":"Russell Daniel M.","year":"2008","unstructured":"Daniel M. Russell , George Furnas , Mark Stefik , Stuart Card , and Peter Pirolli ( 2008 ). Sensemaking workshop 2008. CHI EA 2008, 4751--4754 . Daniel M. Russell, George Furnas, Mark Stefik, Stuart Card, and Peter Pirolli (2008). Sensemaking workshop 2008. CHI EA 2008, 4751--4754."},{"key":"e_1_3_2_1_84_1","volume-title":"The reflective practitioner. How professionals think in action","author":"Sch\u00f6n Donald","year":"1983","unstructured":"Donald Sch\u00f6n ( 1983 ). The reflective practitioner. How professionals think in action . Basic Books . Donald Sch\u00f6n (1983). The reflective practitioner. How professionals think in action. Basic Books."},{"key":"e_1_3_2_1_85_1","volume-title":"scikit-learn Tutorials","author":"Scikit-Learn","year":"2017","unstructured":"Scikit-Learn ( 2017 ). scikit-learn Tutorials . http:\/\/scikit-learn.org\/stable\/ tutorial\/index.html . Scikit-Learn (2017). scikit-learn Tutorials. http:\/\/scikit-learn.org\/stable\/ tutorial\/index.html ."},{"key":"e_1_3_2_1_86_1","volume-title":"Harv Bus Rev","author":"Shah Shventank","year":"2012","unstructured":"Shventank Shah , Andrew Horne , and Jaime Capella ( 2012 ). Good data won't guarantee good decisions . Harv Bus Rev , Apr 2012. Shventank Shah, Andrew Horne, and Jaime Capella (2012). Good data won't guarantee good decisions. Harv Bus Rev, Apr 2012."},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1109\/CHASE.2009.5071419"},{"key":"e_1_3_2_1_88_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220057"},{"key":"e_1_3_2_1_89_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702558"},{"key":"e_1_3_2_1_90_1","doi-asserted-by":"publisher","DOI":"10.1145\/2207676.2208417"},{"key":"e_1_3_2_1_91_1","volume-title":"Uhlir and Peter Schoder","author":"Paul","year":"2007","unstructured":"Paul F. Uhlir and Peter Schoder ( 2007 ). Open data for global science. Data Sci. J. 6, 36--53. Paul F. Uhlir and Peter Schoder (2007). Open data for global science. Data Sci. J. 6, 36--53."},{"key":"e_1_3_2_1_92_1","first-page":"13","article-title":"Data scientist: The engineer of the future","volume":"7","author":"van der Aalst Wil M.P.","year":"2014","unstructured":"Wil M.P. van der Aalst ( 2014 ). Data scientist: The engineer of the future . Proc. I-ESA 7 , 13 -- 26 . Wil M.P. van der Aalst (2014). Data scientist: The engineer of the future. Proc. I-ESA 7, 13--26.","journal-title":"Proc. I-ESA"},{"key":"e_1_3_2_1_93_1","doi-asserted-by":"publisher","DOI":"10.5555\/2566721"},{"key":"e_1_3_2_1_94_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011251801044"},{"key":"e_1_3_2_1_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883073"},{"key":"e_1_3_2_1_96_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-013-0686-7"},{"issue":"14","key":"e_1_3_2_1_97_1","first-page":"83","article-title":"The new materiality: Digital dialogues at the boundaries of contemporary craft","volume":"1","author":"Wilson Fo","year":"2010","unstructured":"Fo Wilson ( 2010 ). The new materiality: Digital dialogues at the boundaries of contemporary craft . Cultura Visual 1 ( 14 ), 83 -- 88 . Fo Wilson (2010). The new materiality: Digital dialogues at the boundaries of contemporary craft. Cultura Visual 1(14), 83--88.","journal-title":"Cultura Visual"},{"key":"e_1_3_2_1_98_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196730"},{"key":"e_1_3_2_1_99_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196729"}],"event":{"name":"CHI '19: CHI Conference on Human Factors in Computing Systems","location":"Glasgow Scotland Uk","acronym":"CHI '19","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290605.3300356","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3290605.3300356","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:58:07Z","timestamp":1750208287000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290605.3300356"}},"subtitle":["Discovery, Capture, Curation, Design, Creation"],"short-title":[],"issued":{"date-parts":[[2019,5,2]]},"references-count":99,"alternative-id":["10.1145\/3290605.3300356","10.1145\/3290605"],"URL":"https:\/\/doi.org\/10.1145\/3290605.3300356","relation":{},"subject":[],"published":{"date-parts":[[2019,5,2]]},"assertion":[{"value":"2019-05-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}