The Coalition for Networked Information (CNI) is dedicated to supporting the transformative promise of digital information technology for the advancement of scholarly communication and the enrichment of intellectual productivity.
Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data.
NISO is where content publishers, libraries, and software developers turn for information industry standards that allow them to work together. Through NISO, all of these communities are able to collaborate on mutually accepted standards
Among the many online learning resources that the DCC offers digital curators are high-level briefing papers and legal watch, standards watch and technology watch papers.
Our digital library of resources is free to use and contains everything you need to engage effectively in digital curation and data preservation activities.
T. Wissik, and M. Ďurčo. Selected Papers from the CLARIN Annual Conference 2015, October 14–16, 2015, Wroclaw, Poland, 123, page 94-107. Linköping University Electronic Press, Linköpings universitet, (2015)
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)
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..
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. Schembera, and D. Iglezakis. Metadata and Semantic Research. 12th International Conference, MTSR 2018, Limassol, Cyprus, 23-26 October 2018, Proceedings, Springer, (forthcoming)
Please include the acknowledgement in publications for those who are funded by our Cluster of Excellence:
Funded by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2075 - 390740016