Items tagged with OA TO RESEARCH DATA
AMNESIA: Data anonymization made easy
Géant-OpenAIRE webinar: An introduction to Open Science: Why it’s important
This webinar gives an overview of Open Science and explains the OpenAIRE services, mainly for Géant's NRENs.
Topics covered:
- Introduction to Open Science
- Policy context
- Current services offered to support Open Science
OpenAIRE Webinar: Results survey on H2020 DMP template
This webinar is highly relevant for research support staff, data librarians, researchers, project leaders, research funders and all others who write or review data management plans, or support others to do so.
Life Sciences and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software…
Open Access Week 2017
Webinar delivered by Toni Hermoso and Guillaume Filion (CRG Barcelona)
Legal aspects of Open Science
Open Access Week 2017
"Legal aspects of Open Science", presented by Prodromos Tsiavos (@prodromos), Thomas Margoni (CREATe, Glasgow University)
General introduction to Open Data Policies in Horizon 2020, influence of OD policies on Open Science Workflows
Introduction to Open Data Policies in H2020 with Nancy Pontika (Open University) and Najla Rettberg (University of Goettingen).
Flip the classroom: bring your questions about RDM and DMPs
Open Access Week 2017
A computational linguist by training, Marjan Grootveld (DANS) on data management policy and practice
Natural Sciences and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software…
Open Access Week 2017
Open science workflows in natural sciences, tools for publishing, licensing, versioning, identifiers, archiving, software with Jon Tennant and Ivo Grigorov.
Open Research Data in Horizon 2020
OpenAIRE Spring Webinars 2017
Research Data Management requirements in Horizon 2020, Data Management planning and how OpenAIRE can help.
FAIR Data in Trustworthy Data Repositories Webinar
(DANS/EUDAT/OpenAIRE Webinar - Dec. 2016
Everybody wants to play FAIR, but how do we put the principles into practice? In this webinar the FAIR Guiding Principles (Findable, Accessible, Interoperable and Reusable) and the DSA (Data Seal of Approval were discussed and compared and a tangible operationalization was presented. The Webinar was co-organised by DANS, EUDAT &OpenAIRE, on 12 and 13 December, 2016. 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.
Open Science Training for NCP Network IDEAL-IST
OpenAIRE/FOSTER webinar - Nov. 2016
The webinar introduced Open Science to the IDEAL-IST NCP Network in the policy context and offer IDEAL-IST to custom design their webinar series on Open Science/RRI topics closest to their daily responsibilities of supporting Horizon 2020 applicants across the European Research Area (ERA).
Open Research Data in H2020 and Zenodo repository
OAWeek 2016 webinar - Oct. 2016
Open Access Week 2016 webinar on "Open Research Data in H2020 and Zenodo repository" - Research Data Management in Horizon 2020 and the Zenodo repository functionalities, with Marjan Grootveld (DANS) and Krzysztof Nowak (CERN).
The fundamentals of Open Science
Open Access Week 2016
Open Access Week 2016 webinar on "The fundamentals of Open Science" - key introductory themes in Open Science, with Tony Ross-Hellauer (OpenAIRE, University of Goettingen), Paola Masuzzo (Ghent University) and Chris Hartgerink (Tilburg University).
How to write a Data Management Plan
Joint EUDAT-OpenAIRE webinar (July 2016)
During this EUDAT & OpenAIRE joint webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP, discussing examples from real DMPs and also touching upon the Software Management Plan, which for some projects can be a sensible addition
Open research data and data management for Horizon 2020 projects
OpenAIRE Public webinar on the "Open Research Data Pilot in H2020"
This OpenAIRE Webinar provides an introduction to Research Data Management and is aimed at researcher involved in the EC's Open Research Data Pilot. Managing research data is becoming increasingly important. How can you manage your data and how can you benefit from managing your data effectively? In this webinar te basic concepts of research data management (RDM) are presented as well as tools to help writing a Data Management Plan (DMP).
Learning objectives: At the end of the session participants are be able to:
- Understand the basic principles and importance of RDM
- Set clear goals regarding data curation, preservation and sharing
- Comply with the requirements of the Research Data Pilot
- Draft a Data Management Plan
- Identify RDM resources and tools
Target audience: Introductory training for researchers, project coordinators and research administrators