If you’re supporting researchers to manage and share their data, there are a few useful workshops coming up in early 2017 that may be of interest.
In January, the DCC and DANS will be running two one-day workshops in Amsterdam. On 25th January, the “Developing Research Data Management Services” workshop will introduce participants to the range of services needed, how to establish a business case, and engage researchers to ensure uptake. The following day we will be “Supporting Open Research in Horizon 2020”. This workshop will outline the European Commission’s requirements and give practical advice on how to make data open. Building on DANS and DCC experience in support the EC review of DMPs, the afternoon will focus on a practical exercise reviewing example Horizon 2020 DMPs against an evaluation cribsheet.
Everybody wants to play FAIR, but how do we put the principles into practice?
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
In 2014 the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) were formulated. The well-chosen FAIR acronym is highly attractive: it is one of these ideas that almost automatically get stuck in your mind once you have heard it. In a relatively short term, the FAIR data principles have been adopted by many stakeholder groups, including research funders.
The FAIR principles are remarkably similar to the underlying principles of DSA (2005): the data can be found on the Internet, are accessible (clear rights and licenses), in a usable format, reliable and are identified in a unique and persistent way so that they can be referred to. Essentially, the DSA presents quality criteria for digital repositories, whereas the FAIR principles target individual datasets.
In this webinar the two sets of principles will be discussed and compared and a tangible operationalization will be presented.
Four bids were received as of the Oct 7th deadline in response to the call for proposals for an Open Access Publishing Market Analysis Report released by OpenAIRE and the EC FP7 Post-Grant Open Access Pilot on Sep 16th. After a careful bid assessment process and a steep competition among the received proposals, the proposal submitted by Research Consulting Ltd has been selected to provide this report.
OpenAIRE are delighted to announce that Cameron Neylon will join the OpenAIRE Advisory Board effectively immediately.
Cameron Neylon is Professor of Research Communication at the Centre for Culture and Technology at Curtin University and well known agitator for opening up the process of research. His current work focusses on how the cultures of research affect and effect change in research communications. He speaks regularly on issues of Open Science including Open Access publication, Open Data, and Open Source as well as the wider technical and social issues of applying the opportunities the internet brings to the practice of science. He was named as a SPARC Innovator in July 2010 for work on the Panton Principles and was a co-author of the Altmetrics manifesto and the Principles for Open Scholarly Infrastructures. He is a proud recipient of the Blue Obelisk for contributions to open data. He writes regularly at his blog, Science in the Open.
Cameron, along with other Advisory Board members, will give feedback on OpenAIRE 2020 developments and chosen strategies and solutions (organisational, technical), advise regarding sustainability planning (organisational and infrastructure/technical issues, approaches and experiences, feedback on proposed solutions), as well as advise on OpenAIRE’s future directions and plans.
If you’re supporting researchers to manage and share their data, there are a few useful workshops coming up in early 2017 that may be of interest.
There is a growing demand for quality criteria for research datasets. In this webinar we will argue that the DSA (Data Seal of Approval for data repositories) and FAIR principles get as close as possible to giving quality criteria for research data. They do not do this by trying to make value judgements about the content of datasets, but rather by qualifying the fitness for data reuse in an impartial and measurable way. By bringing the ideas of the DSA and FAIR together, we will be able to offer an operationalization that can be implemented in any certified Trustworthy Digital Repository.
Oct 24-30, 2016
Upload files of up to 50GB, track releases with improved Github integration, link H2020 research with OpenAIRE 
Cameron Neylon is Professor of Research Communication at the Centre for Culture and Technology at Curtin University and well known agitator for opening up the process of research. His current work focusses on how the cultures of research affect and effect change in research communications. He speaks regularly on issues of Open Science including Open Access publication, Open Data, and Open Source as well as the wider technical and social issues of applying the opportunities the internet brings to the practice of science. He was named as a SPARC Innovator in July 2010 for work on the Panton Principles and was a co-author of the Altmetrics manifesto and the Principles for Open Scholarly Infrastructures. He is a proud recipient of the Blue Obelisk for contributions to open data. He writes regularly at his blog, Science in the Open.
First International Workshop on Reproducible Open Science (RepScience 2016)
