Schlagwort: ‘FAIR’
Research Data Management at RWTH Aachen University: An Overview
Source: Own Illustration
Research data management (RDM) is a central topic in modern science that goes far beyond the mere collection and storage of data. It encompasses all processes that are necessary to securely collect, store and analyze data and make it usable in the long term. At RWTH Aachen University, a clear guideline and a structured infrastructure around the data lifecycle for RDM is provided, enabling researchers to manage their data sustainably and follow the principles of good scientific practice.
Milestone Reached: The Coscine Word Mark Is Officially Registered!
Source: Coscine.de
From an idea to an established platform: the history of Coscine is a chronicle of progress in research data management. The registration of Coscine as a word mark marks another high point in this success story. But how did it actually come about? In this blog post, we give you an overview of the origins and milestones of Coscine.
Coscine – How Is the RDM Platform Actually Structured?
Source: Coscine.de
Researchers face the daily challenge of efficiently managing and accessing large amounts of data. Nowadays, data management goes beyond simple storage. According to the FAIR principles, research data should be easy to find (Findable), accessible (Accessible), interoperable (Interoperable) and reusable (Reusable). This is exactly where Coscine (Collaborative Scientific Integration Environment) comes in – a platform that supports researchers throughout the data lifecycle.
But what exactly does that mean? Let’s take a look at the structure of Coscine and explain step by step how the platform for research data management (RDM) works.
Ethical Decision-Making in IT
Source: Freepik
From automated decision-making to data protection and privacy issues, technological developments have a significant impact on society. Today, information and communication technologies have become a matter of course and indispensable in all areas of life. Ethics has long been an issue in business and the world of IT is also increasingly concerned with moral issues. In the context of artificial intelligence (AI) in particular, such conflicts are becoming increasingly prominent. In today’s blog post, we want to shed light on ethical influences in the IT sector.
FAIR Data Spaces – Establishing a shared cloud-based data space for business and science
Source: Pixabay
Together with the Fraunhofer Gesellschaft, the National Research Data Infrastructure (NFDI) e.V., Atos Information Technology GmbH and with various NFDI consortia, the cloud-based data space “FAIR Data Space” for business and science is being created and built.
