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.
Starting in January 2016 and funded for three years by the German Research Foundation (DFG), project CONQUAIRE – Continuous Quality Control for Research Data to Ensure Reproducibility will focus on reproducibility and quality control during the research process in an institutional setting.
CyVerse is funded by the National Science Foundation’s Directorate for Biological Sciences. We are a dynamic virtual organization led by the University of Arizona to fulfill a broad mission that spans our partner institutions: Texas Advanced Computing Center, Cold Spring Harbor Laboratory, and the University of North Carolina at Wilmington. CyVerse provides life scientists with powerful computational infrastructure to handle huge datasets and complex analyses, thus enabling data-driven discovery. Our extensible platforms provide data storage, bioinformatics tools, image analyses, cloud services, APIs, and more.
DANTE (Deutschsprachige Anwendervereinigung TeX e.V.) wurde am 14. April 1989 in Heidelberg gegründet. Der Zweck des Vereins ist die Betreuung und Beratung von TeX-Benutzern im gesamten deutschsprachigen Raum. Dazu gehört die Beratung sowohl mittels WWW-Server, E-Mail als auch "gelber" Post, was die Anschaffung, Implementierung und Lösung von Anwendungsproblemen mit TeX angeht, das Verteilen von Software an Mitglieder und die Informationsübermittlung dessen, was in der TeX-Welt geschieht. Außerdem werden Entwicklungen im Bereich von TeX, LaTeX, ConTeXt, LuaTeX, Metafont, BibTeX, Schriften, ... national und international initiiert, gefördert und koordiniert.
The full-featured DKRZ long term archiving service LTA WDCC (World Data Centre for Climate) offers long term archiving for datasets relevant for climate and Earth System research.
Why is it so important to cite data? Books and journal articles have long benefited from an infrastructure that makes them easy to cite, a key element in the process of research and academic discourse. We believe that you should cite data in just the same way that you can cite other sources of information, such as articles and books.
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.
M. Krafczyk, A. Shi, A. Bhaskar, D. Marinov, and V. Stodden. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2197):
rsta.2020.0069, 20200069(May 2021)