Items tagged with OPEN SCIENCE
OpenAIRE Dashboard for Content Providers: literature broker service and dashboard demo for repository managers
Webinars series for repository managers - Nov. 2017
"OpenAIRE Dashboard for Content Providers: literature broker service and dashboard demo for repository managers" is the the 2nd webinar in the series for repository managers that took place on Nov. 21, 2017 with Pedro Príncipe from University of Minho and with Paolo Manghi from ISTI-CNR.
OpenAIRE Guidelines for data providers: new Metadata Application Profile for Literature Repositories
Webinars series for repository managers - Nov. 2017
In November, OpenAIRE launched a new series of webinars for repository managers about OpenAIRE services and tools for content providers and recent repository developments. This was the 1st webinar that took place on Nov. 14, 2017 with Jochen Schirrwagen from Univ. Bielefeld.
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)
Humanities and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software
Open Access Week 2017
"Open Access Week 2017: Humanities and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software", presented by Laurent Romary (Inria, DARIAH,@laurentromary), Marie Puren (Inria, @MariePuren).
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
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).
Refreshment on Open Access, Open Science and H2020 requirements
How can OpenAIRE help researchers and projects to comply with Open Access mandates?
Open Access to publications in H2020 with Eloy Rodrigues (UMinho) and Najla Rettberg (UGOE).
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 Peer Review: Models, Attitudes and Next Steps – a webinar from OpenUP and OpenAIRE
New models of open peer review (OPR) are emerging that open up traditional, closed processes, making them more transparent, collaborative and/or network-based. This webinar describes recent work conducted by the OpenAIRE and OpenUP projects to define models of OPR, gauges stakeholder attitudes and lays out a roadmap for future OPR implementation. It focusses on how OPR can potentially strengthen research evaluation, describing how alternative peer review tools and methods could better shape scholarly communication and how they contribute to the strengthening Open Science agenda. Specific issues included in the presentations are the variety of models; barriers/drivers for moving OPR mainstream; attitudes to OPR (what reviewers, authors and editors actually want); how to motivate and credit review work; technical infrastructure and platforms; and the next steps for researching the efficacy of different OPR models. The webinar is of interest to all with an interest in how research evaluation can better meet the aims of Open Science.
OpenAIRE FP7 post-grant Open Access Pilot
OpenAIRE Spring Webinars 2017
Overview of the results of the first period of the OpenAIRE FP7 post-grant Open Access Pilot.
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.
Open Access to Publications in Horizon 2020
OpenAIRE Spring Webinars 2017
Open Access mandate in H2020, what is expected of projects with regards to the OA policies in H2020 and how OpenAIRE can help.
OpenAIRE guidelines for data and literature repositories
The webinar was organized by Jessica Rex (National Open Access Desk Germany) and held by Jochen Schirrwagen and Friedrich Summann of Bielefeld University Library and was on the topic of 'OpenAIRE guidelines for literature and data repositories'. Additionally there was some information on guidelines for CRIS managers. This webinar is in German. Date: 28 February 2017
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.