Schlagwort: ‘Forschungsdaten’
Effective Data Sharing With Coscine – Part 3
Source: Coscine
In the second part of the blog series “Effective Data Sharing With Coscine“, we used the Coscine API to create a list of download links to research data in a resource. This list was converted into a structured markup format for better presentation and you learned about various options for displaying certain file types. In the third part, you will now learn how to build on this and create a web page to present your data. We will use the free services of GitHub or optionally GitLab to create and host a static website.
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: Own illustration
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.
Series of Articles: Central RDM Services at RWTH
Source: Own illustration
We are pleased to present to you – as researchers at RWTH Aachen University – our new series of articles in which we have collected all the information on RWTH’s central RDM services for efficient research data management (RDM). These RDM services are managed by RWTH staff and service managers and are available for you to use.
In the coming weeks, you can look forward to a compact article on each service and get comprehensive information.
RDM Toolbox 2024
Source: Own illustration
In December last year, we drew your attention to the RDM Toolbox 2024 with a Call for Participation. This took place from March 18 to 20, 2024 in the rooms of the IT Center of RWTH Aachen University in Kopernikusstraße.
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.
Mastering RDM – Learning Opportunities at the RWTH
Source: Own illustration
In complex research processes, it is crucial to maintain an overview of research data and develop effective data management strategies. In addition to RDM tools and services, RWTH Aachen University therefore also offers its researchers courses and workshops on research data management (RDM) in order to develop skills in this important area.
The RDM team relies on blended learning, which combines traditional classroom teaching with digital learning methods. The basics are taught in year-round RWTHmoodle courses, which can be completed at any time and at your own pace through self-study. Building on this, what has been learned can be tested, discussed and deepened in regular workshops. In this blog post, you can get an overview of the RWTH’s RDM continuing education offers.
RWTH at the EmacsConference 2023
Workflow of a data set processed by Lukas C. Bossert and Jonathan Hartman at EmacsConf 2023 using Emacs and org-mode.
Source: IT Center
Research without digital data has long since become unthinkable. Many different tools and programs are sometimes used to collect, process and organize data. The programs differ not only due to different subject areas and data types, but also with regard to the respective phase within the research data life cycle: starting with data collection, through its cleansing and analytical processing, to the publication-ready output of the data including documentation.
