VIMMP provides an easily accessible, user-friendly hub to access all tangible and intangible components, such as information, knowledge, services and tools to support the efficient decision making, uptake and effective use of materials. At the core of VIMMP will be a metadata enriched data environment that eases the tasks of all actors. In particular it will facilitate the translation of a scientific problem into modelling workflows, ready for simulation using a range of software tools integrated into an open simulation platform and deployed on cloud services. The VIMMP platform is open, so that any provider can easily integrate and deploy their software codes as well as services.
The 'German Network for Bioinformatics Infrastructure – de.NBI' is a national, academic and non-profit infrastructure supported by the Federal Ministry of Education and Research providing bioinformatics services to users in life sciences research and biomedicine in Germany and Europe. The partners organize training events, courses and summer schools on tools, standards and compute services provided by de.NBI to assist researchers to more effectively exploit their data.
D. Dolzycka, K. Biernacka, K. Helbig, and P. Buchholz. Zenodo, (March 2019)Diese Publikation wurde im Rahmen des Verbundprojekts "FDMentor" vom Bundesministerium für Bildung und Forschung gefördert (Förderkennzeichen 16FDM010 und 16FDM011)..
M. Gärtner, U. Hahn, and S. Hermann. Language Technologies for the Challenges of the Digital Age, page 284-291. Cham, Springer International Publishing, (2018)
M. Gärtner, U. Hahn, and S. Hermann. Language Technologies for the Challenges of the Digital Age, page 284-291. Cham, Springer International Publishing, (2018)
B. Schembera, and D. Iglezakis. Metadata and Semantic Research. 12th International Conference, MTSR 2018, Limassol, Cyprus, 23-26 October 2018, Proceedings, Springer, (forthcoming)
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..
B. Bhumiratana, and M. Bishop. Proceedings of the 2Nd International Conference on PErvasive Technologies Related to Assistive Environments, page 73:1--73:8. New York, NY, USA, ACM, (2009)
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..