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1.2.
Standardisation of clinical data & data management.
Responsible:
Chris Lawerenz,
DKFZ, Heidelberg.
Background:
There exists an ever-increasing need for globally
accepted standardised terminologies in biomedical
research. The process of establishing such
controlled vocabularies is of critical importance,
and one that demands continuous efforts, especially
to address the emergence of new terms and
methodologies. As a German partner in the field of
standardization, we facilitate the merging of
clinical terms for cancer, neurological disorders
and infection/inflammation. Within the scope of
NGFN1, international standards together with data
and workflow models were incorporated and improved,
while quality standards for handling high-throughput
data were also established. Standardization of
terminology allows the addition of new data produced
by any network partner to existing data from other
partners. Thus, all network partners are able to
analyze the data obtained from all patients and
studies conducted.
Planned work:
A
pool of parameters will be developed for all
clinical networks involved in NGFN2. By supporting
the local nodes within these networks, a central
instance of vocabulary will be constructed for each.
We plan to implement specific core datasets for
single clinical networks and NGFN2-wide extended
datasets. Both existing and new standard operation
procedures (SOPs) will be developed together with
our clinical partners. Each of these applications
will be established according to the requirements of
the Deutsche Forschungsgemeinschaft (DFG) and the
German Reference Centre for Ethics (DRZE).
Publications:
Eils J and Lawerenz C.
Database concepts for system biology. Computational
systems biology. (Book; Elsevier).
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