The growing digitization and networking process within our society has a large influence on all aspects of everyday life. Large amounts of data are being produced permanently, and when these are analyzed and interlinked they have the potential to create new knowledge and intelligent solutions for economy and society. Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. What is needed are innovative technologies, strategies and competencies for the beneficial use of Big Data to address societal needs.
Computation, experimentation, teaching: Jetstream benefits researchers from a range of fields by focusing on usability and support. You can even create virtual machines that look and feel like your lab workstation or home machine, with thousands of times the computing power.
B. Schembera, and D. Iglezakis. Metadata and Semantic Research. 12th International Conference, MTSR 2018, Limassol, Cyprus, 23-26 October 2018, Proceedings, Springer, (forthcoming)
S. Scholtens, P. Anbeek, J. Böhmer, M. Brullemans-Spansier, M. van der Geest, M. Jetten, C. Staiger, I. Slouwerhof, and C. van Gelder. Spreadsheet, (October 2019)The three spreadsheets are provided in the following file formats: Microsoft Excel XLSX (original), OpenDocument Spreadsheet ODS (export), and Comma Delimited CSV utf-8 (export). This project is funded by the ZonMw Personalised Medicine Programme under Dossier number: 80-84600-98-3007. The project period is Aug 2018 - July 2019. Additional funding will be provided by UMCG, UMCU, Radboud University Nijmegen, Radboudumc and DTL/ELIXIR-Netherlands..
C. Staiger, M. Jetten, J. Böhmer, I. Slouwerhof, M. van der Geest, C. van Gelder, and S. Scholtens. Picture, (June 2019)This figure is part of a project funded by the ZonMw Personalised Medicine Programme under Dossier number: 80-84600-98-3007. The project period is Aug 2018 - July 2019. Additional funding will be provided by UMCG, UMCU, Radboud University Nijmegen, Radboudumc and DTL/ELIXIR-Netherlands..
C. Brown, N. Hong, and M. Jackson. (May 2018)This workshop was organised by Jisc. The Software Sustainability Institute is supported by EPSRC grant EP/H043160/1 and EPSRC/BBSRC and ESRC grant EP/N006410/1..
M. Gärtner, U. Hahn, and S. Hermann. Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings, page 284--291. Cham, Springer International Publishing, (2018)
N. Micic, D. Neagu, I. Campean, and E. Habib Zadeh. (2017)Every industry has significant data output as a product of their working process, and with the recent advent of big data mining and integrated data warehousing it is the case for a robust methodology for assessing the quality for sustainable and consistent processing. In this paper a review is conducted on Data Quality (DQ) in multiple domains in order to propose connections between their methodologies. This critical review suggests that within the process of DQ assessment of heterogeneous data sets, not often are they treated as separate types of data in need of an alternate data quality assessment framework. We discuss the need for such a directed DQ framework and the opportunities that are foreseen in this research area and propose to address it through degrees of heterogeneity..
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