Forschungsdaten – Aktuelles und Wissenswertes

Schlagwort: ‘FAIR’

Love Data Week 2023 – Celebrating the Love of Data

January 19th, 2023 | by
Coscine with heart on the letter "i

Source: Own illustration

It’s coming soon! Love Data Week 2023 is just around the corner. In the week around Valentine’s Day, February 13-17, data love will be celebrated worldwide under the motto “Data: Agent of Change” with many events on different RDM topics.

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Research Data Day 2022 – Follow-up to Coscine – Fair in the Data Sea

December 1st, 2022 | by
The picture shows a sea, which is supposed to represent a sea of data, fitting for the event "guarantee in the data sea".

Event Coscine – FAIR guarantee in the data sea
Source: Own illustration

We continue with the follow-up report on the afternoon program of the Research Data Day 2022 held at the RWTH Aachen University. Just as last year, researchers from all over North Rhine-Westphalia were allowed to get a taste of the Coscine workshop and ask their questions about the platform for research data management. In this post, we have summarized the contents of the one-hour workshop for you. You can download the slides of the workshop on Zenodo.

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“FAIRThesis” Receives FCI Funding

November 10th, 2022 | by
Science lab with chemicals in test tubes and flasks

Source: Freepik

The teaching project “FAIRThesis” by Prof. Sonja Herres-Pawlis (RWTH Aachen University) and Dr. Nicole Jung (KIT) receives funding from the Chemical Industry Fund (FCI). The project not only ensures a deepening in the field of Research Data Management (RDM) but also enables master and bachelor students to use the electronic laboratory journal Chemotion for research and final theses.

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RDM Explained – How Do I Find Research Data?

November 4th, 2022 | by

The findability and reusability of research data are important aspects of research data management and part of the FAIR principles (Findability and Reusability). The sustainable preparation and professional publication of research data offers various possibilities for reuse. Meta-analyses, optimization of own study designs and model calibrations are just a few examples. However, finding suitable data for reuse is increasingly becoming a challenge due to steadily growing data volumes and increasing diversification of data types and storage locations. So, what are the places to go and what are the options for finding data?

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Follow-up Report on the Open Meeting of the RDM Network on October 12, 2022

October 20th, 2022 | by
The photo represents the key points of the network meeting on Ocotber 12, 2022.

Source: Own illustration; Freepik.

On October 12, 2022, the data stewards, RDM officers and RDM interested parties at RWTH Aachen University met again for the regular Open Meeting of the RDM Network online via Zoom. The theme of the event this time was FAIR in Science.

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New RDM Training Concept at RWTH Aachen University

April 14th, 2022 | by
Laptop with RWTH mug and notebook

Source: Stefan Hense

In April 2022, the RDM team will start a new training format on research data management “FDM II-modular”, offering you two-hour hands-on workshops on focus topics of research data management. The workshops will take place regularly on the 4th Wednesday of the month from 10am to 12 noon.

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AIMS in Coscine – New Feature Since March 22, 2022

March 24th, 2022 | by
Logo Coscine & AIMS

Source: Own Illustration

Coscine is in constant development. As of this week, it is now possible to create individual application profiles using the integration of the application profile generator from AIMS. The new feature is primarily aimed at data stewards and people familiar with their domain-specific ontologies. What AIMS is and how the creation of application profiles in Coscine works is presented in this article.

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BMBF fördert Projekt „FAIR-Data Spaces“ mit 6,3 Millionen Euro!

July 8th, 2021 | by

This entry is only available in German.

Mit dem Verbundprojekt „FAIR-Data Spaces“ unterstützt das Bundesministerium für Bildung und Forschung (BMBF) den Aufbau eines gemeinsamen cloudbasierten Datenraums für Wissenschaft und Wirtschaft durch die Verknüpfung von GAIA-X und der Nationalen Forschungsdateninfrastruktur (NFDI) mit 6,3 Millionen Euro. Read the rest of this entry »

FAIR enough

January 9th, 2020 | by

Im Kontext von Forschungsdatenmanagement (FDM) wird immer wieder über die FAIR-Prinzipien gesprochen. Als Forschende/r wissen Sie vermutlich bereits, was FAIR bedeutet: Foschungsdaten sollen möglichst

  1. auffindbar (Findable),
  2. zugänglich (Accessible),
  3. interoperabel (Interoperable) und
  4. nachnutzbar (Re-usable)


Doch welche Kriterien sind für die FAIRness von Daten entscheidend? Hierzu stellt die Initiative umfangreiche Informationen zu den 15 FAIR-Prinzipien und dem “FAIRification Process” bereit.

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