{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T06:58:57Z","timestamp":1764053937771,"version":"3.33.0"},"reference-count":69,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825556","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"3134-3142","source":"Crossref","is-referenced-by-count":2,"title":["Empowering Data Science Teams: How Automation Frameworks Address Competency Gaps Across Project Lifecycles"],"prefix":"10.1109","author":[{"given":"Maike","family":"Holtkemper","sequence":"first","affiliation":[{"name":"University of Hagen,Chair of Data Science,Hagen,Germany"}]},{"given":"Christian","family":"Beecks","sequence":"additional","affiliation":[{"name":"University of Hagen,Chair of Data Science,Hagen,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2015.10.047"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3593078.3593930"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3593078.3593930"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-18497-0_43"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3600100.3623728"},{"volume-title":"AI-driven project management: Harnessing the power of artificial intelligence and ChatGPT to achieve peak productivity and success.","year":"2024","author":"Bainey","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ASE51524.2021.9678696"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3533021"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3198662"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3198662"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-51023-7"},{"key":"ref12","article-title":"What separates analytical leaders from laggards?","author":"Davenport","year":"2020","journal-title":"MIT Sloan management review"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3495256"},{"volume-title":"Data Science Competence Framework (CF-DS).","year":"2022","author":"Demchenko","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON46332.2021.9453997"},{"journal-title":"Edison project","year":"2023","key":"ref16"},{"journal-title":"Automated machine learning: State-of-the-art and open challenges","author":"Elshawi","key":"ref17"},{"journal-title":"Education for data intensive science to open new science frontiers","year":"2017","key":"ref18"},{"journal-title":"European e-Competence Framework.","year":"2014","key":"ref19"},{"issue":"2","key":"ref20","article-title":"Toward foundations for data science and analytics: A knowledge framework for professional standards","volume":"2","author":"Fayyad","year":"2020","journal-title":"Harvard Data Science Review"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/240455.240464"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.14778\/3554821.3554844"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-27099-4_35"},{"article-title":"Toward a lifecycle for data science: A literature review of data science process models","volume-title":"Pacific Asia Conference on Information Systems 2022","author":"Haertel","key":"ref24"},{"key":"ref25","first-page":"1","article-title":"Risk identification of data science projects: A literature review","author":"Holtkemper","year":"2023","journal-title":"LWDA"},{"key":"ref26","first-page":"1","article-title":"Over 100 data and analytics predictions through 2028","author":"James","year":"2023","journal-title":"Gartner Research"},{"issue":"3","key":"ref27","first-page":"84","volume":"62","author":"Joshi","year":"2021","journal-title":"Why so many data science projects fail to deliver"},{"journal-title":"Procedures for performing systematic reviews","author":"Kitchenham","key":"ref28"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.a010feeb"},{"key":"ref30","article-title":"Qualitative Inhaltsanalyse. Methoden, Praxis, Computerunterstutz\u00fcng: Grundlagentexte Methoden","volume-title":"Grund-lagentexte Methoden. Beltz Juventa, Weinheim and Basel","author":"Kuckartz","year":"2022"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-80840-2_23"},{"key":"ref32","first-page":"6538","article-title":"Evaluating data science project agility by exploring process frameworks used by data science teams","volume-title":"Proceedings of the 56th Annual Hawaii International Conference on System Sciences","author":"Lahiri"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00305"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-SEIP52600.2021.00034"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICEDEG.2017.7962513"},{"journal-title":"A future that works: Automation, employment, and productivity","year":"2017","author":"Manyika","key":"ref36"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671588"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.23919\/FRUCT56874.2022.9953810"},{"journal-title":"What is the team data science process?","year":"2024","key":"ref39"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON.2019.8725066"},{"issue":"1","key":"ref41","doi-asserted-by":"crossref","DOI":"10.1186\/s12960-019-0443-8","article-title":"Proposing a reconceptualisation of competency framework terminology for health: a scoping review","volume":"18","author":"Mills","year":"2020","journal-title":"Human Resources for Health"},{"key":"ref42","first-page":"33","article-title":"Grumpy: an automated approach to simplify issue data analysis for newcomers","volume-title":"Brazilian Symposium on Software Engineering","author":"Mota"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3555041.3589681"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICECTECH.2011.5942073"},{"journal-title":"NewVantage Partners. Big data and ai executive survey","year":"2019","key":"ref45"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2012.11.004"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3603709"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3222538"},{"key":"ref49","article-title":"Crisp-dm, still the top methodology for analytics, data mining, or data science projects","author":"Piatetsky","year":"2014","journal-title":"KDD News"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/I2CT54291.2022.9824068"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.54941\/ahfe1004012"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-66329-1_17"},{"key":"ref53","article-title":"Winning with ai","author":"Ransbotham","year":"2019","journal-title":"MIT Sloan management review"},{"key":"ref54","article-title":"Build a career in data science","volume-title":"Manning","author":"Robinson","year":"2020"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2253-9"},{"journal-title":"Crisp-dm is still the most popular framework for executing data science projects-data science process alliance","year":"2023","author":"Saltz","key":"ref56"},{"journal-title":"Crisp-dm is still the most popular framework for executing data science projects","year":"2024","author":"Saltz","key":"ref57"},{"journal-title":"Introduction to semma","year":"2017","key":"ref58"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.01.199"},{"journal-title":"Introducing dasc-pm: A data science process model","author":"Schulz","key":"ref60"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006187"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3374549.3374574"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3502736"},{"journal-title":"Why do 87% of data science projects never make it into production?","year":"2019","key":"ref64"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445526"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445526"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1145\/3359313"},{"issue":"26","key":"ref68","first-page":"13","article-title":"Analyzing the past to prepare for the future: Writing a literature review","author":"Webster","year":"2002","journal-title":"MIS Quarterly"},{"key":"ref69","first-page":"29","article-title":"Crisp-dm: Towards a standard process model for data mining","volume-title":"Proceedings of the 4th Proceedings of the 4th International Conference on the Practical Applications of Knowledge Discovery and Data Mining","author":"Wirth"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825556.pdf?arnumber=10825556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T07:47:18Z","timestamp":1737100038000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825556","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}