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Items tagged with DATA MANAGEMENT PLAN

Data Management Plans

Data Management Plans

  • Wednesday, 27 February 2019

Know the requirements and conditions of open data in the H2020 and know when and how to prepare a DMP for the project.

(part of FOSTER elearning course)

webinar in portuguese

 

Joint webinar FREYA and OpenAIRE: New developments in the field of Persistent Identifiers

Joint webinar FREYA and OpenAIRE: New developments in the field of Persistent Identifiers

The importance of Persistent Identifiers (PIDs) to build stable connections between research entities such as grants, projects, articles, or funders is recognized and addressed by several initiatives and projects.

  • Thursday, 10 January 2019

When: On January 10, 2019 at 10:00 CET

After all the festivities at the end of the year where family and friends connect, OpenAIRE together with FREYA started off the new year with a webinar on digital connections: the Persistent Identifiers. The Science Europe Data Glossary defines the term Persistent Identifier (PID) as “a long-lasting reference to a digital object — a single file or set of files”. As such, the importance of PIDs to build stable connections between research entities such as grants, projects, articles, or funders is recognized and addressed by several initiatives and projects.   

FREYA is a 3-year project funded by the European Commission, aiming to extend the infrastructure for persistent identifiers (PIDs) as a core component of open research, in the EU and globally. FREYA will improve discovery, navigation, retrieval, and access to research resources. In so doing, FREYA has carried out a survey of the current PID landscape, collected a vast amount of user stories in order to identify needs of the community to expand existing and establish new PID services, and is currently working on building a PID Graph.  

In the webinar, Ketil Koop-Jakobsen talked about a report on requirements for new PID Services. To identify demands and requirements for emerging PIDs, FREYA collected user stories from their respective communities and networks. More than 70 user stories were compiled, each identifying a specific PID demand from the community. Koop-Jakobsen introduced some of these stories and explained their influence on the development of new and emerging PID types. Amir Aryani, moreover, shed light on FREYA’s work on the PID Graph, talking about the discussion around the concept of the PID Graph itself and how FREYA partners are contributing to the actual setup of such a Graph.   

And Iryna Kuchma talked how OpenAIRE uses PIDs for discovery, enrichment, and linking of research results. 

 Che cos’è un Data Management Plan: presentazione e casi d’uso

Che cos’è un Data Management Plan: presentazione e casi d’uso

  • Wednesday, 28 November 2018

For the Open Access Week Italy, in collaboration with the OpenAIRE NOADs, IOSSG, and the RDA Italian Node, offers webinars series!

More Information about the webinar series.
What you need to know about Data Management Plans

What you need to know about Data Management Plans

  • Tuesday, 23 October 2018

"What you need to know about DMPs" 
Other resources:

www.dcc.ac.uk/resources/data-management-plans www.openaire.eu/what-is-a-data-management-plan-dmp

OpenAIRE and FAIR Data Expert Group survey about Horizon 2020 template for Data Management Plans: https://zenodo.org/record/1120245

Basics of Research Data Management

Basics of Research Data Management

  • Tuesday, 23 October 2018

S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
dcc.ac.uk/resources
How to manage your data to make them Open and FAIR

How to manage your data to make them Open and FAIR

  • Monday, 14 May 2018

Joint OpenAIRE and EOSC-hub webinar delivered by Marjan Grootveld and Ellen Leenarts (DANS) on May 15, 2018
Open Research Data in Horizon 2020

Open Research Data in Horizon 2020

  • Tuesday, 08 May 2018

Emilie Hermans talks about Open Research Data in Horizon 2020, and how OpenAIRE can help you to manage your data, open it up and link it to your other research output.

AMNESIA: Data anonymization made easy

AMNESIA: Data anonymization made easy

  • Monday, 23 April 2018

AMNESIA is a flexible data anonymization tool that allows to remove identifying information from data. Amnesia does not only remove direct identifiers like names, SSNs, etc., but also transforms secondary identifiers like birth date and zip code so that individuals cannot be identified in the data. Amnesia supports k-anonymity and km-anonymity. Amnesia is available both as an online service and as a local application.
Géant-OpenAIRE webinar: An introduction to Open Science: Why it’s important

Géant-OpenAIRE webinar: An introduction to Open Science: Why it’s important

  • Thursday, 01 February 2018

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

OpenAIRE Webinar: Results survey on H2020 DMP template

  • Wednesday, 10 January 2018

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.
Flip the classroom: bring your questions about RDM and DMPs

Flip the classroom: bring your questions about RDM and DMPs

Open Access Week 2017

  • Tuesday, 24 October 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

General introduction to Open Data Policies in Horizon 2020, influence of OD policies on Open Science Workflows

  • Tuesday, 24 October 2017

Introduction to Open Data Policies in H2020 with Nancy Pontika (Open University) and Najla Rettberg (University of Goettingen).
Natural Sciences and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software…

Natural Sciences and Open Science: Workflows and tools for publishing, licensing, versioning, identifiers, archiving, software…

Open Access Week 2017

  • Sunday, 22 October 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

Open Research Data in Horizon 2020

OpenAIRE Spring Webinars 2017

  • Monday, 29 May 2017

Research Data Management requirements in Horizon 2020, Data Management planning and how OpenAIRE can help.
FAIR Data in Trustworthy Data Repositories Webinar

FAIR Data in Trustworthy Data Repositories Webinar

(DANS/EUDAT/OpenAIRE Webinar - Dec. 2016

  • Sunday, 11 December 2016

    Monday, 12 December 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.