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Research Data – Latest News & Worth Knowing

Schlagwort: ‘FAIR’

RDM platform Coscine – more than free quota!

October 15th, 2024 | by
RDM Trainings

Source: Own illustration

Contemporary research involves conscious research data management (RDM) with the aim of generating high-quality research data and keeping it sustainably (re)usable, i.e. findable, accessible and understandable (FAIR-criteria). The RDM platform Coscine – Collaborative Scientific Integration Environment—supports you in this and helps you meet the requirements of research funders and comply with Good Research Practice.

This event is part of a series of in-depth modules on RDM (FDM II – modular). The basics on RDM are covered by the Moodle course “Research Data Management – an Overview (RDM I – online)”. Please use this course as introduction to RDM.

Learn about the RDM platform Coscine with all its features. Understand how Coscine supports you in making research data FAIR (findable, accessible, interoperable, reusable) and in meeting the expectations of research funders.

Coscine & fdm.nrw in the FAIR-IMPACT Support Programme

July 30th, 2024 | by

Source: FAIR-IMPACT

The application of Coscine in cooperation with fdm.nrw to participate in the FAIR-IMPACT Support Programme for repositories and data service providers has been successfully confirmed. This inclusion in the second call for Route 1 expert support marks an important step for both organizations and the further development of their services.

Read this blog post for more details about the program and its goals and challenges.

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Asynchronous Tracking and Description of Research Data Changes in Distributed Systems With Interoperable Metadata

June 13th, 2024 | by
Graduation Celebration

Source: Freepik

In the world of digital research, there are many different ways of storing data. But how can research data be managed in a way that makes it accessible and usable for everyone who should have access to it? In this blog post, we look at how we can tackle this challenge by introducing a method to fill in missing information about the origin of data. This approach is intended to make it easier to find and use research data – in line with the FAIR Principles.

 

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Effective Data Sharing With Coscine – Part 2

May 28th, 2024 | by
Logo of Coscine

Source: Coscine

The first part of the blog series “Effective data sharing with Coscine” presented various options for sharing research data that are offered in Coscine. The second part of the series now looks at how you can make your research data accessible to a wider audience and how you can freely design the presentation of the data. Although this is somewhat more complex than the tools provided in the Coscine user interface, it offers more flexibility and can therefore be tailored specifically to your needs.

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Participation in the Coscine Survey

April 23rd, 2024 | by
Happy and sad emoticons

Source: Own illustration

Calling all researchers, data stewards and RDM staff! We are pleased to invite you to participate in an important initiative: the first Coscine survey. As a platform for research data management (RDM), we would like to get your opinion in order to continuously improve our service. From April 22 to May 6, 2024, you will have the opportunity to participate in our survey and share your thoughts and experiences with Coscine. Your feedback is crucial to ensure that our platform meets your needs and supports you in your research work in the best possible way.

 

 

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The Fair Principles: Origin and Meaning

March 14th, 2024 | by
Close-up of a window with "Data" written on it and a building in the background

Source: Claudio Schwarz on Unsplash

In this blog post, we inform you about the origin and meaning of the so-called FAIR principles and place the term in the broader context of modern data management.

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