{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T17:06:05Z","timestamp":1725987965917},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319975702"},{"type":"electronic","value":"9783319975719"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-97571-9_1","type":"book-chapter","created":{"date-parts":[[2018,8,14]],"date-time":"2018-08-14T08:55:24Z","timestamp":1534236924000},"page":"3-7","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Data Science and Advanced Digital Technologies"],"prefix":"10.1007","author":[{"given":"Gintautas","family":"Dzemyda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,8,15]]},"reference":[{"issue":"8","key":"1_CR1","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1145\/3015456","volume":"60","author":"L Cao","year":"2017","unstructured":"Cao, L.: Data science: challenges and directions. Commun. ACM 60(8), 59\u201368 (2017)","journal-title":"Commun. ACM"},{"issue":"6","key":"1_CR2","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1145\/2745390","volume":"58","author":"K Matsudaira","year":"2015","unstructured":"Matsudaira, K.: The science of managing data science. Commun. ACM 58(6), 44\u201347 (2015)","journal-title":"Commun. ACM"},{"key":"1_CR3","unstructured":"Donoho, D.: 50 Years of Data Science. Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge. http:\/\/courses.csail.mit.edu\/18.337\/2015\/docs\/50YearsDataScience.pdf . Accessed 1 May 2018"},{"key":"1_CR4","unstructured":"American Statistical Association Undergraduate Guidelines Workgroup, Curriculum Guidelines for Undergraduate Programs in Statistical Science. https:\/\/www.amstat.org\/asa\/files\/pdfs\/EDU-guidelines2014-11-15.pdf . Accessed 1 May 2018"},{"key":"1_CR5","unstructured":"What is Data Science? http:\/\/dsc.ucsd.edu\/node\/2 . Accessed 1 May 2018"},{"key":"1_CR6","unstructured":"Computer Science vs Data Science \u2013 find out the best 8 comparisons. https:\/\/www.educba.com\/computer-science-vs-data-science\/ . Accessed 1 May 2018"},{"key":"1_CR7","doi-asserted-by":"publisher","DOI":"10.1002\/9781118018255","volume-title":"Data Analysis: What Can Be Learned from the Past 50 Years","author":"PJ Huber","year":"2011","unstructured":"Huber, P.J.: Data Analysis: What Can Be Learned from the Past 50 Years. Wiley, New York (2011)"},{"key":"1_CR8","unstructured":"Blum, A., Hopcroft, J., Kannan, R.: Foundations of Data Science. https:\/\/www.cs.cornell.edu\/jeh\/book.pdf . Accessed 1 May 2018"},{"issue":"4","key":"1_CR9","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1145\/3188721","volume":"61","author":"F Berman","year":"2018","unstructured":"Berman, F., Rutenbar, R., Hailpern, B., et al.: Realizing the potential of data science. Commun. ACM 61(4), 67\u201372 (2018)","journal-title":"Commun. ACM"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Cao, L.: Data science: a comprehensive overview. ACM Comput. Sur. 50(3) (2017). Article number 43","DOI":"10.1145\/3076253"},{"key":"1_CR11","unstructured":"Gil Press: A very short history of data science. Forbes. https:\/\/www.forbes.com\/sites\/gilpress\/2013\/05\/28\/a-very-short-history-of-data-science\/#4d91ab9455cf . Accessed 1 May 2018"},{"key":"1_CR12","unstructured":"Institute of Data Science and Digital Technologies. https:\/\/www.mii.lt . Accessed 1 May 2018"},{"issue":"2","key":"1_CR13","first-page":"21","volume":"113","author":"D Beck","year":"2017","unstructured":"Beck, D., Pfaendtner, J., Carothers, J., et al.: Data science for chemical engineers. Chem. Eng. Prog. 113(2), 21\u201326 (2017)","journal-title":"Chem. Eng. Prog."},{"issue":"2","key":"1_CR14","first-page":"562","volume":"8","author":"E Selvarajan","year":"2017","unstructured":"Selvarajan, E., Punya Swaroop, S.: A review on data science in biotechnology. Res. J. Pharm. Biol. Chem. Sci. 8(2), 562\u2013567 (2017)","journal-title":"Res. J. Pharm. Biol. Chem. Sci."},{"key":"1_CR15","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1016\/j.rser.2016.11.132","volume":"70","author":"M Molina-Solana","year":"2017","unstructured":"Molina-Solana, M., Ros, M., Dolores Ruiz, M., et al.: Data science for building energy management: a review. Renew. Sustain. Energy Rev. 70, 598\u2013609 (2017)","journal-title":"Renew. Sustain. Energy Rev."},{"issue":"3","key":"1_CR16","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.cossms.2016.10.001","volume":"21","author":"PM Voyles","year":"2017","unstructured":"Voyles, P.M.: Informatics and data science in materials microscopy. Curr. Opin. Solid State Mater. Sci. 21(3), 141\u2013158 (2017)","journal-title":"Curr. Opin. Solid State Mater. Sci."},{"issue":"5","key":"1_CR17","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/MCG.2017.3621219","volume":"37","author":"G Andrienko","year":"2017","unstructured":"Andrienko, G., Andrienko, N., Weibel, R.: Geographic data science. IEEE Comput. Graph. Appl. 37(5), 15\u201317 (2017)","journal-title":"IEEE Comput. Graph. Appl."},{"issue":"6","key":"1_CR18","doi-asserted-by":"publisher","first-page":"1066","DOI":"10.1002\/cae.21844","volume":"25","author":"A Klasnja-Milicevic","year":"2017","unstructured":"Klasnja-Milicevic, A., Ivanovic, M., Budimac, Z.: Data science in education: big data and learning analytics. Comput. Appl. Eng. Educ. 25(6), 1066\u20131078 (2017)","journal-title":"Comput. Appl. Eng. Educ."},{"issue":"3","key":"1_CR19","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1158\/1078-0432.CCR-17-2804","volume":"24","author":"HJWL Aerts","year":"2018","unstructured":"Aerts, H.J.W.L.: Data science in radiology: a path forward. Clin. Cancer Res. 24(3), 532\u2013534 (2018)","journal-title":"Clin. Cancer Res."},{"issue":"4","key":"1_CR20","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s40192-017-0104-5","volume":"6","author":"AK Verma","year":"2017","unstructured":"Verma, A.K., French, R.H., Carter, J.L.W.: Physics-informed network models: a data science approach to metal design. Integr. Mater. Manufact. Innov. 6(4), 279\u2013287 (2017)","journal-title":"Integr. Mater. Manufact. Innov."},{"issue":"1","key":"1_CR21","doi-asserted-by":"publisher","first-page":"75","DOI":"10.15388\/Informatica.2018.158","volume":"29","author":"M Morkunas","year":"2018","unstructured":"Morkunas, M., Treigys, P., Bernataviciene, J., Laurinavicius, A., Korvel, G.: Machine learning based classification of colorectal cancer tumour tissue in whole-slide images. Informatica 29(1), 75\u201390 (2018)","journal-title":"Informatica"},{"key":"1_CR22","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.pnmrs.2017.11.003","volume":"104","author":"J Kikuchi","year":"2018","unstructured":"Kikuchi, J., Ito, K., Date, Y.: Environmental metabolomics with data science for investigating ecosystem homeostasis. Prog. Nucl. Magn. Reson. Spectrosc. 104, 56\u201388 (2018)","journal-title":"Prog. Nucl. Magn. Reson. Spectrosc."}],"container-title":["Communications in Computer and Information Science","Databases and Information Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-97571-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T04:39:45Z","timestamp":1571719185000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-97571-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319975702","9783319975719"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-97571-9_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]}}}