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.
CESAER - the Conference of European Schools for Advanced Engineering Education and Research - is a non-profit international association of leading European universities of science and technology and engineering schools/faculties at comprehensive universities and university colleges.
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.
BioSchemas relies and extends from schema.org and aims to reuse existing standards and reach consensus among a wide number of life sciences organizations and communities.
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)..
A. Schreiber, and R. Struminski. Universal Access in Human--Computer Interaction. Design and Development Approaches and Methods: 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9--14, 2017, Proceedings, Part I 11, page 444--455. Springer, (2017)
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)
F. Kleinkopf. Schriftenreihe des Archivs für Urheber- und Medienrecht Nomos, Baden-Baden, (2022)Immer häufiger werden digitale Methoden wie das Text- und Data-Miningzur Erkenntnisfindung eingesetzt, das die Möglichkeit bietet, Musterin großen Datensätzen zu erkennen und zugleich Grundlage desmaschinellen Lernens ist. Die Arbeit betrachtet diese Methode ausurheberrechtlicher Perspektive und berücksichtigt dabei die Bedeutungund Steuerungswirkung urheberrechtlicher Schranken, die besondereInteressenlage im Wissenschaftsurheberrecht sowie interdisziplinäreErkenntnisse. In der umfassenden Analyse wird die komplexeRechtsmaterie strukturiert, es werden Defizite aufgezeigt und konkreteLösungsvorschläge unterbreitet. Ein Schwerpunkt liegt dabei auf derlangfristigen Zugänglichkeit der erzeugten Forschungsdaten..