Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R)
This is the official website of the Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R). We are one of the eleven Data Literacy Centers in Germany, that were founded in 2023. Our goal is to reduce data-related hurdles in research, train and support researchers in methodological data literacy in a hollistic way, and promote data-competent scientists.
Upcoming Events
In 2 Days...
DKZ.2R@ RDM Workshop
The RDM Workshop is a multi-day event where participants work together on RDM tools and discover new features and application scenarios: from eLabFTW to Coscine and DataLab to LiaScript - in community-led sessions in English, participants can try out and exchange ideas.
The third RDM workshop is being held in cooperation with the state initiative fdm.nrw, the ULB Münster, and the NFDI4BIOIMAGE. …
In 4 Days...
By DKZ.2R: Seminar - Statistical and Machine Learning Methods
Course Description and Goals:
Statistical learning is a field that teaches students how to analyze and interpret data by applying statistical methods and machine learning algorithms to uncover patterns, make predictions, and gain insights from data. The syllabus includes:
• Statistical and machine learning methods, including linear and polynomial regression, logistic regression, and linear discriminant analysis.
• Model validation techniques such as cross-validation and bootstrap, model …
In 10 Days...
By NFDI-MatWerk & DKZ.2R: Spring School 2025 in Aachen – Research Data Management in Materials Science and Engineering
Enabling a consistent and unobstructed standardization of research data will lead to substantial improvements in efficiency and synergies/collaboration among individual researchers and well-designed IT systems. In the era of digital infrastructures, this measure holds paramount importance in shaping the future of research. For the data to be sustainable and reusable, it must adhere to the “FAIR Data Principles”, meaning it should be “Findable, Accessible, Interoperable, and Re-usable”. The FAIR …