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November 2018
RDA 12th Plenary Meeting
The second edition of International Data Week (IDW 2018) will be held on 5-8 November 2018 in Gaborone, Botswana (see announcement). Hosted by the Botswana Open Science and Open Data Forum, IDW 2018 will bring together data professionals and researchers from all disciplines and from all parts of the globe. Co-organized by the ICSU World Data System (WDS), the ICSU Committee on Data for Science and Technology (CODATA) and the Research Data Alliance (RDA), this landmark event will address the theme of ‘The…
Find out more »WikiCite 2018
WikiCite 2018 is a 3-day conference, summit, and hack day dedicated to the vision of creating an open repository of bibliographic data to support the citation and fact-checking needs of Wikimedia projects, and possibly, to serve as an open infrastructure for research, education, and information quality across the web.
Find out more »The 13th Munin Conference 2018
The Munin Conference is an annual conference on scholarly publishing and communication, primarily revolving around open access, open data and other aspects of open science.
Find out more »December 2018
14th Berlin Open Access Conference
The 14th Berlin Open Access Conference will be held on 3-4 December 2018 at the Max Planck Society’s Harnack House in Berlin. In keeping with this year’s conference theme, “Aligning strategies to enable open access,” invited delegations of stakeholders from research funding and research performing organizations from around the world will measure the progress of their open access strategies and determine concerted actions toward liberating the fruits of research from access and re-use restrictions.
Find out more »Open Science in Big Data (OSBD) Workshop
"Open science" encompasses efforts on the part of scientists to improve reproducibility of original research. This includes publishing data sets, providing free and open access to resulting publications, and releasing code under open source licenses. Proprietary software and closely guarded datasets have given way to vibrant open source communities and open access journals. Applications in big data, however, have been uniquely challenging to incorporate into open science. These complications include datasets too large to host publicly, extensive codebases in highly…
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