Task Areas

Task area 1 ''Development of workflows and tools for data management'': This task
area addresses the developments and technical integration for the PAHN-PaN consortium and
the embedding of the solutions in the international context. The community will face unprece-
dented challenges that come along with data volumes at the Exabyte scale that need to be pro-
cessed. The required services and infrastructure will be developed towards industry standard to
allow shared usage with other scientific disciplines, cost effective operations and maintainability.

Task area 2 ''FAIR data lifecycle concepts and open data'': The goal of task area 2
is to develop and apply a concept of research data management for the entire field of research
within the PAHN-PaN Consortium. This concept must meet the requirements to be applicable
to other fields of research as well. A prototype of a PAHN data centre will be set-up in the
next five years and should generalise and combine the different developments in the various
research areas of the consortium. In addition, the complete lifecycle and each individual step of
the handling of research data must be equally integrated including the PAHN open data service
and the possibility for data mining.

Task area 3 ''Data analysis procedures and services'': Procedures and services for
the analysis of data are an integral part of a research data infrastructure. The projects of this
task area maximise the scientific value of data by providing high-level services and tools for
analysis. Procedures for interactive analysis and inference on large datasets are provided as
well as numerical methods and hardware-specific optimisations. Based on these developments,
automated machine learning services greatly simplify the training and deployment of deep learn-
ing. Finally, generic studies of systematic uncertainties, stability and visualisations of machine
learning improve the usefulness of these new algorithms

Task area 4 ''Real-time data analysis and selection'': In the first steps of each data
analysis, the amount of data to be analysed must be considerably reduced step by step for tech-
nical reasons. Task area 4 deals centrally with the question of how this necessary reduction can
be achieved in real-time with a minimum loss of physically relevant information, exploiting also
specialized hardware. Also using prototyping and demonstrator setups for hardware-software
co-design, special intelligent algorithms and methods for data quality assurance will be devel-
oped. The focus of these developments is on exemplary problem solutions and tools at the
hardware-software boundary that can be applied in the entire community.

Cross-cutting topic A ''Synergies'': One aim of the NFDI is to create synergies between
different fields of science, and with this cross-cutting topic we will contribute to this effort by
following up concrete and existing joint projects or ideas with other consortia, and by explicitly
looking for new ideas to be exploited in the future.

Cross-cutting topic B ''Services'': Already now there are some services operated for
and within the PAHN-PaN consortium. Sizable effort that is spent in this task areas is targeted at identifying, improving and delivering existing services, or developments towards new ones.
The cross-cutting topic activity identifies the needs for services in the consortium and beyond
in order to foster the development of generic services that address broad spectrum of needs,
ideally from multiple communities.

Cross-cutting topic C ''Professional training, education, outreach'': In this topic, a fo-
cus is placed on teaching young students and early-career researchers in PAHN-PaN-relevant
topics, mentoring and advising them, and disseminating concepts, tools and results to the gen-
eral public. Teaching material is provided for university education, and courses and hands-on
masterclass are provided for high-schools in order to inspire them and to get them involved.