Schlagwort: ‘FAIR-Prinzipien’
Always Up to Date – The Coscine-Newsletter
Source: Own illustration
Coscine simplifies research data management and offers solutions that support researchers in their daily work. Would you like to stay up to date with the latest news, helpful tips and current developments? Then subscribe to the Coscine newsletter and stay up to date at all times!
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.
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
BUILD ON DATA Conference Proceedings Published
Source: baureka.online
Last year, we reported on the community conference “Auf Daten bauen // Build on Data” organized by the DFG project baureka.online. The two-day conference, which took place on May 4 and 5, 2023 in Berlin, was aimed at people who deal with historical building fabric, collect digital data on built objects and are interested in effective research data management in historical building research and monument preservation. An open access publication has now been published for the conference in May 2023, which we would like to report on in this article.
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.
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.
Archiving and Publishing Research Data: What’s the Difference?
Source: Freepik
(Research) data are the basis of decisions and are becoming more and more important with today’s technologies and possibilities. Thus, the correct management and publication of research data is also taking on an increasingly important role. Two central concepts in this context are archiving and publishing research data. But what exactly do these concepts mean and how do they differ in the research process? In this article, we take a close look at the differences between archiving and publishing research data.
New Application Profile in Coscine
Source: Own illustration
A new application profile for Preclinical Imaging has recently become available in Coscine. In this blog post, you will learn what this profile can do, how it was created, and how it can be used.
Coscine – Moving From Pilot Phase Into Regular Operation
Source: Own illustration
A reason to celebrate! After an extensive pilot phase, we can deliver the happy news that Coscine is moving from now on into regular operation. Find out what’s behind Coscine and why this service is the best way to support you in your research data management in this blog post.
RDM in Small Research Projects
Source: Unsplash
The question of the right research data management (RDM) arises above all for researchers who are still at the beginning of their careers, but also for students who are already taking on smaller research projects. Since they have had little to no contact with RDM to that point, it is unclear to many how research data can be made usable in the long term. Recommendations for RDM in smaller projects can now be found in a new handout by the German Data Forum (RatSWD), part of the Consortium for the Social, Behavioural, Educational and Economic Sciences (KonsortSWD). A set of slides for university teachers was also published together with the handout.
