subject predicate object context
40592 Creator 0e5d4257051894026ea74b7ed55557e7
40592 Creator 2482a533b100c51b082644502f2b86e0
40592 Creator 5b33bf50d350f1ad5a68e46a7ab668b7
40592 Creator ext-2a6dcc0cc6ece4cc86cf322435dd8f59
40592 Date 2014-01
40592 Is Part Of p15411672
40592 Is Part Of repository
40592 abstract With a projected six-figure skills gap looming in the US alone, here the authors share strategies and lessons learned regarding how to bridge the gap in training competent data scientists in the near future.
40592 authorList authors
40592 issue 1
40592 status peerReviewed
40592 uri http://data.open.ac.uk/oro/document/249358
40592 uri http://data.open.ac.uk/oro/document/249359
40592 uri http://data.open.ac.uk/oro/document/249360
40592 uri http://data.open.ac.uk/oro/document/249361
40592 uri http://data.open.ac.uk/oro/document/249362
40592 uri http://data.open.ac.uk/oro/document/249363
40592 uri http://data.open.ac.uk/oro/document/249901
40592 volume 29
40592 type AcademicArticle
40592 type Article
40592 label Domingue, John ; d'Aquin, Mathieu ; Simperl, Elena and Mikroyannidis, Alexander (2014). The Web of Data: bridging the skills gap. IEEE Intelligent Systems, 29(1) pp. 70–74.
40592 label Domingue, John ; d'Aquin, Mathieu ; Simperl, Elena and Mikroyannidis, Alexander (2014). The Web of Data: bridging the skills gap. IEEE Intelligent Systems, 29(1) pp. 70–74.
40592 Title The Web of Data: bridging the skills gap
40592 in dataset oro