Schlagwort: ‘Research Data Management’
Into the Data Garden!
Source: fdm.nrw
Let your research bloom! On the second Tuesday in November, the fourth “Research Data Day” will take place in North Rhine-Westphalia – a state-wide day of action on research data management. On November 12, 2024, everything will revolve around a blooming “data garden” in which Forschungszentrum Jülich and RWTH Aachen University invite all researchers and those interested in RDM to Jülich for networking!
Automating (Meta)Data Transfer to Coscine
Source: Own illustration
If you attended our courses on the research data management platform Coscine and Metadata, you know we need to securely store our data and annotate them with meaningful metadata and that Coscine can help you here. You probably also know doing that by hand can be tedious. Let’s automate it!
In this course, we will use a Jupyter Notebook to create Python script for automated data transfer in a step-by-step process. We will interact with the Coscine projects and resources using the Coscine Python SDK. In the end, you will have the foundations to create your own scripts to automate your data workflows, enabling you to transfer data and metadata from a local computer or server to Coscine.
This event is part of a series of in-depth modules on research data management (RDM 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 Doctoral Candidates: https://www.rwth-aachen.de/go/id/mkbr/file/5-64895/?lidx=1
Registration for Postdocs and Academic Staff: https://www.rwth-aachen.de/go/id/mkbr/file/5-64893/?lidx=1
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
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.
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.
Improve Git and Python Programming Skills With NFDI4Cat and NFDI4Chem!
Source: Unsplash
Do you want to make progress with your data and draw valuable conclusions from it? Then attend the event “Python Computing 4 Chemists (and others)” from 18 to 20 September 2023 and improve your programming skills in person on-site in Aachen or online.
New Video – How Do I Archive Research Data at RWTH?
Are you new to the topic of archiving research data? You think archiving is just a technical question of where to store it? Then we now have something for you: namely a recently published video on the topic of archiving research data, created by the University Library of RWTH Aachen University.
