{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:10:23Z","timestamp":1761808223837},"reference-count":16,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1109\/indin.2018.8472108","type":"proceedings-article","created":{"date-parts":[[2018,10,9]],"date-time":"2018-10-09T02:00:15Z","timestamp":1539050415000},"page":"523-528","source":"Crossref","is-referenced-by-count":3,"title":["Data scientist under the Da.Re perspective: analysis of training offers, skills and challenges"],"prefix":"10.1109","author":[{"given":"Flavia","family":"Pires","sequence":"first","affiliation":[]},{"given":"Jose","family":"Barbosa","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Leitao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"The age of analytics: Competing in a data-driven world","author":"nicolaus","year":"2016","journal-title":"McKinsey Global Institute"},{"journal-title":"Top Five High-Impact Use Cases for Big Data Analytics","year":"0","key":"ref11"},{"journal-title":"Descriptors defining levels in the European Qualifications Framework (EQF)","year":"0","key":"ref12"},{"journal-title":"TIOBE Index for March 2018","year":"0","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE.2018.8433868"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2017.05.001"},{"key":"ref16","article-title":"Phase 1 New Big Data Initiatives, Intellectual Output 1 Towards a Data-driven Mind-Set","author":"cristalli","year":"2017","journal-title":"Research Project and Technical Report"},{"key":"ref4","article-title":"Industry 4.0: How to Navigate Digitization of the Manufacturing Sector","author":"bauer","year":"2015","journal-title":"tech rep McKinsey Digital"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2015.08.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2765544"},{"journal-title":"Critical Manufacturing Tech Rep","article-title":"Industry 4.0 & Big Data Analytics","year":"2016","key":"ref5"},{"key":"ref8","article-title":"The Quant Crunch: How the Demand For Data Science Skills is Disrupting the Job Market","author":"miller","year":"2017","journal-title":"Burning Glass Technologies"},{"journal-title":"10 Jobs That Didn’t Exist 10 Years Ago","year":"0","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISORC.2008.25"},{"key":"ref1","article-title":"Securing the future of German manufacturing industry: Recommendations for implementing the strategic initiative INDUSTRIE 4.0","author":"kagermann","year":"2013","journal-title":"German National Academy of Science and Engineering (ACATECH) Tech Rep"},{"journal-title":"International Electrotechnical Commission Tech Rep","article-title":"Factory of the Future","year":"2015","key":"ref9"}],"event":{"name":"2018 IEEE 16th International Conference on Industrial Informatics (INDIN)","start":{"date-parts":[[2018,7,18]]},"location":"Porto","end":{"date-parts":[[2018,7,20]]}},"container-title":["2018 IEEE 16th International Conference on Industrial Informatics (INDIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8453042\/8471919\/08472108.pdf?arnumber=8472108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,23]],"date-time":"2021-12-23T16:34:45Z","timestamp":1640277285000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8472108\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/indin.2018.8472108","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}