Schlagwort: ‘Research Data’
Tombstones: When Research Data Disappears but Is Not Forgotten
Source: Freepik
Happy Halloween! Have you ever heard of “tombstones”? We have put together a special and mystical article for you to mark the spooky holiday of the year. The digital world offers us enormous opportunities, but what happens when research data is deleted? Is it lost forever? This is where the idea of “tombstones” comes into play – an elegant solution to make the disappearance of research data more transparent.
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.
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.
RDM Explained – How do I Cite Research Data?
Source: Own illustration
The last article in the “RDM explains” series was about how to find research data. But what happens if you have found relevant data and use it in your scientific work? In order not to run the risk of unintentionally plagiarising, care should be taken to cite all sources in a scientifically correct manner. But how exactly do you do that with research data? In this article, we present important principles and possibilities.
