Leipzig Health Atlas

We modelled the algorithm for determining Type 2 Diabetes Mellitus (T2DM) cases presented by PheKB.org using Phenotype Manager (PhenoMan).

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Example Reasoner Report generated by PhenoMan

Core Ontology of Phenotypes. Contribute to Onto-Med/COP development by creating an account on GitHub.

The conference will focus on current contributions to research data management in Saxony. On the basis of practical reports and a poster session, it will be shown what research data management can achieve and what advantages it can offer. An advanced training course on data management planning will help to explore the possibilities and challenges of the FDM for oneself and for research projects. Finally, important aspects and questions will be discussed with each other and with experts at several
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The publication of research results is part of good scientific practice and is increasingly ex-pected and demanded. The FAIR data principles of data sharing are an important guideline - even if medical data sharing makes it necessary to define access restrictions.

The Leipzig Health Atlas (LHA) offers a platform for presentation and exchange of publications, (bio-) medical data, models and software tools
from the field of health research. The LHA is based on the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable). Currently,
more than 18 research consortia contribute data from the domains lymphoma, glioma, sepsis, hereditary colorectal and breast cancer, and
others. Target groups are clinicians, epidemiologists, molecular geneticists, human
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The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles.
The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular),
...

The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles.
The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular),
...