Schlagwort: ‘FAIR’
Research Data Day 2024 – Organized by Forschungszentrum Jülich & RWTH Aachen University
Source: fdm.nrw
On November 12, 2024, Forschungszentrum Jülich (FZJ) and RWTH Aachen University will host the 4th Day of Research Data in NRW, a full-day event on research data management (RDM) and data science. The morning program will be organized by the state initiative fdm.nrw and broadcast as an online program (in German) in the lecture hall of the PGI. In the afternoon, the focus will be on regional networks under the motto “Successful research networks: growing together with data” (in English). Tools and services in the field of RDM and data science will be presented in interactive and practical sessions. Participants can explore two of the following topics in depth:
- De.KCD: Research Data Management in the Cloud
- DKZ.2R: Reducing data-related hurdles in research
- HDS-LEE: Data-intensive workflows in science
- HMC: Organizing software metadata with Somesy and FAIR Python Cookiecutter
The afternoon program ends with a poster session and an open exchange over drinks and pastries, where participants can network and present their own projects. Registration for the event is possible via this link.
Email for queries: data-day@fz-juelich.de
RDM platform Coscine – more than free quota!
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.
Metadata Basics and Creating Application Profiles for Coscine
Source: Own illustration
Meaningful and machine-readable metadata are a prerequisite for high-quality and sustainable research data that can be used effectively in line with FAIR principles. Without metadata, research data are worthless. Therefore, meaningful and machine-readable metadata are a prerequisite for high-quality and sustainable research data that can be used effectively. Furthermore, they are a core element of FAIR data (findable, accessible, interoperable, reusable).
The research data management platform Coscine allows you to annotate research data with metadata that is suitable for your research. Coscine already provides you with basic application profiles for this purpose. In this workshop, you will learn how to extend these profiles or create your own ones with the help of the Metadata Profile Generator in Coscine.
This event is part of a series of in-depth modules on research data management (FDM II – modular). The basics on research data management are covered by the Moodle course “Überblick zum Management von Forschungsdaten (FDM-I-online)” / “Research Data Management – an Overview (RDM I – online)“. Please use this course as introduction to research data management.
Registration for PhD students: https://www.rwth-aachen.de/go/id/mkbr/file/5-64891/?lidx=1
Registration for postdocs: https://www.rwth-aachen.de/go/id/mkbr/file/5-64893/?lidx=1
Coscine & fdm.nrw in the FAIR-IMPACT Support Programme
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.
Asynchronous Tracking and Description of Research Data Changes in Distributed Systems With Interoperable Metadata
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.
Effective Data Sharing With Coscine – Part 2
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.
Participation in the Coscine Survey
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.
The Fair Principles: Origin and Meaning
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.
Follow-up Report on Coscine – FAIR Data is my kind of Data!
Source: Own illustration
The Love Data Week 2024 may be over, but our love for FAIR data remains! Among the many exciting talks that took place during this week was the presentation “Coscine – FAIR Data is my kind of Data!”. In this blog post, we take a look at the aspects presented and the exciting developments that are shaping the future of FAIR data at Coscine.
Reminder – Your Date With Coscine at the Love Data Week 2024
Source: Own illustration
Love Data Week 2024 (LDW) is in full swing and is already drawing to a close, but as we all know, the best is saved for last and you definitely should not miss this data flirtation: On Friday, February 16, 2024, the RDM platform Coscine will be presented with its latest developments.
