Schlagwort: ‘Forschungsdatenmanagement’
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
Rat für Informationsinfrastrukturen (RfII)
Source: Rat für Informationsinfrastrukturen
In this article, we would like to draw your attention to the Rat für Informationsinfrastrukturen (RfII). Based in Göttingen, the RfII has been initiating strategic processes since 2014 and is concerned with the entire scientific system as well as with questions relating to the further development of information infrastructures. The RfII regularly issues recommendations on research data management (RDM). The RfII mailing list allows you to stay up to date on the latest developments.
That Was the Young Academics Day 2024
Source: Own illustration
On September 5, 2024, it was that time again: the RWTH Young Academics Day (YAD) for young academics took place in the SuperC of RWTH Aachen University. PhD students and postdocs at RWTH were invited to network, exchange ideas and reflect on their own career paths and decisions through inspiring lectures, as well as to be inspired by the services offered by RWTH. The RDM team from RWTH was also there to present the services of research data management (RDM) at the “marketplace”.
Free Places – Online Workshop Fair Data Through Publication
Source: Own illustration
Are you interested in making your research data visible and reusable? Would you like to find out how best to proceed and whether your research data is suitable for this? Then you are cordially invited to take part in the online workshop “FAIR data through publication” on September 18, 2024.
RDM Explained – How Metadata Revolutionizes Your Everyday Research Life
Source: Freepik
Metadata is crucial for the organization and management of research data. It plays a central role in ensuring the traceability and reusability of scientific results by documenting detailed information about the methods, parameters and tools used. Systematic collection and maintenance of metadata from the beginning of a research project is therefore essential to ensure the quality and long-term usability of the data.
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.
Central RDM Services at the RWTH: RWTH Publications
Source: IT Center RWTH Aachen
This article is part of our series “Central RDM Services at RWTH Aachen“. It is intended to show our researchers – i.e. you – which RDM services are offered at RWTH Aachen University to support you in your research and data management. We talk to the people responsible for the services and collect all the information for you in the individual articles. In this article, we would like to introduce you to the RDM service “RWTH Publications for research data”.
Open Meeting of the RDM Network in May 2024
Source: Own illustration; Freepik
The last Open Meeting of the RDM of RWTH Aachen University took place on May 8, 2024 on the topic “Data Stewards and Data Champions – How do I gain support in RDM? How do I convince researchers of RDM?” as a face-to-face event in the conference room of the University Library. Read the rest of this entry »
Data Champions at the RWTH: Carolin Victoria Schneider
Source: North Rhine-Westphalian Academy of Sciences, Humanities and the Arts | Bettina Engel-Albustin 2022
This article is part of our series “Data Champions at RWTH”. Data Champions are researchers or employees who have excelled in the field of research data management (RDM) and/or have experience that is groundbreaking for colleagues or can serve as a guide.
Our first Data Champion is Prof. Dr. med. Carolin Victoria Schneider. She works at RWTH University Hospital and was named Young Scientist of the Year 2023 by academics. We spoke to Ms. Schneider about her connection to and interest in Research Data Management.
