ST-LE-2023-15
Curriculum: Starter TrackData Train Kick-off 2023
During this event we will provide information on the Data
Train program, its scope, concept, and its connection to the Germany-wide
initiative "National Research Data Infrastructure (NFDI)". Further,
you will get insights into the curriculum planned for 2023. Moreover, we will
shed light on Data Science applications and will elucidate why one should be
aware of Research Data Management principles when applying Data Science
methods.
15:00 Arrival
15:10 Welcome
15:15 Research Data, NFDI, Data Train & Data
Science
Prof. Frank Oliver Glöckner (Alfred Wegener Institute - Helmholtz-Centre for Marine and Polar Research, GFBio e.V., PANGAEA, University of Bremen)
The introduction will start by defining the importance of
research data as well as their management along the data life cycle. It will
motivate the National Research Data Infrastructure (NFDI) and comment on its
goals and current status. It will give a visual example of its implementation
in the NFDI4Biodiversity consortium.
15:35 Data Train – The cross-disciplinary training program on research data management and data science
Prof. Iris Pigeot (Leibniz Institute for Prevention Research and Epidemiology – BIPS, University of Bremen)
Dr. Tanja Hörner ( U Bremen Research Alliance, University of Bremen)
Dealing with data and innovative technologies are key competencies of our time. Currently, we are facing a shortage of people with trained data competencies in labor markets worldwide. To meet the massive demand in science and economy, the cross-discipline training program “Data Train–Training in Research Data Management and Data Science” of the “U Bremen Research Alliance” teaches competencies in data literacy, research data management, and data science for doctoral researchers. The program is associated with the German National Research Data Infrastructure (NFDI) initiative.
The training is provided by our member institutions is targeted at doctoral researchers and open to all interested in strengthening their data skills (if capacities are available).
16:25 Data Stewardship and Data Science – Transforming Data into Knowledge
Dr. Lena Steinmann (University of Bremen)
Prof. Rolf Drechsler (German Research Center for Artificial Intelligence, University of Bremen)
As a result of
digitalization, huge amounts of heterogeneous data are produced across all
scientific fields, economic sectors, and even in our daily lives, which can no
longer be handled with conventional analytics tools. The emerging field of data
science provides the methods and technologies to harness the full potential of
big data and transform it into knowledge. Hence, data science is considered as
key discipline for the modern digital society. However, in order to be able to
apply data science methods such as machine learning, the data must be FAIR (Findable,
Accessible, Interoperable, Re-usable). Accordingly,
sustainable data stewardship is a basic prerequisite for data science. During
our talk, we will address why the two topics are inseparable and of fundamental
importance for science. Moreover, we will introduce the services of the Data
Science Center at the University of Bremen that researchers can use to improve
their data-intensive research and unlock the full potential of their data.
ca. 16:45 Get-together
During this event we will provide information on the Data Train program, its scope, concept, and its connection to the Germany-wide initiative "National Research Data Infrastructure (NFDI)". Further, you will get insights into the curriculum planned for 2023. Moreover, we will shed light on Data Science applications and will elucidate why one should be aware of Research Data Management principles when applying Data Science methods.
15:00 Arrival
15:10 Welcome
15:15 Research Data, NFDI, Data Train & Data Science
Prof. Frank Oliver Glöckner (Alfred Wegener Institute - Helmholtz-Centre for Marine and Polar Research, GFBio e.V., PANGAEA, University of Bremen)
The introduction will start by defining the importance of research data as well as their management along the data life cycle. It will motivate the National Research Data Infrastructure (NFDI) and comment on its goals and current status. It will give a visual example of its implementation in the NFDI4Biodiversity consortium.
15:35 Data Train – The cross-disciplinary training program on research data management and data science
Prof. Iris Pigeot (Leibniz Institute for Prevention Research and Epidemiology – BIPS, University of Bremen)
Dr. Tanja Hörner ( U Bremen Research Alliance, University of Bremen)
Dealing with data and innovative technologies are key competencies of our time. Currently, we are facing a shortage of people with trained data competencies in labor markets worldwide. To meet the massive demand in science and economy, the cross-discipline training program “Data Train–Training in Research Data Management and Data Science” of the “U Bremen Research Alliance” teaches competencies in data literacy, research data management, and data science for doctoral researchers. The program is associated with the German National Research Data Infrastructure (NFDI) initiative.
The training is provided by our member institutions is targeted at doctoral researchers and open to all interested in strengthening their data skills (if capacities are available).
16:25 Data Stewardship and Data Science – Transforming Data into Knowledge
Dr. Lena Steinmann (University of Bremen)
Prof. Rolf Drechsler (German Research Center for Artificial Intelligence, University of Bremen)
As a result of digitalization, huge amounts of heterogeneous data are produced across all scientific fields, economic sectors, and even in our daily lives, which can no longer be handled with conventional analytics tools. The emerging field of data science provides the methods and technologies to harness the full potential of big data and transform it into knowledge. Hence, data science is considered as key discipline for the modern digital society. However, in order to be able to apply data science methods such as machine learning, the data must be FAIR (Findable, Accessible, Interoperable, Re-usable). Accordingly, sustainable data stewardship is a basic prerequisite for data science. During our talk, we will address why the two topics are inseparable and of fundamental importance for science. Moreover, we will introduce the services of the Data Science Center at the University of Bremen that researchers can use to improve their data-intensive research and unlock the full potential of their data.
ca. 16:45 Get-together
When?
January 24, 2023, 3:00 PM - 5:00 PM
Where?
Fraunhofer MEVIS
Conference Room 1.010-12, ground floor
Max-von-Laue-Str. 2
28359 Bremen
and
Online via Zoom
Registration closed
Pigeot, Prof. Dr. Iris
Scientific director of theLeibniz Institute for Prevention Research and Epidemiology – BIPS and head of the Department of Biometry and Data Management
Professor for Statistics with a focus on Biometry and Methods in Epidemiology at the University of Bremen
Email: pigeot@leibniz-bips.de
Glöckner, Prof. Dr. Frank Oliver
Professor of Earth System Data Science
Department of Geosciences at the University of Bremen
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research
Head of Data at the Computing and Data Center
Head of PANGAEA Data Publisher for Earth & Environmental Science
GFBio e.V.
Email: frank.oliver.gloeckner@awi.de
Drechsler, Prof. Dr. Rolf
German Research Center for Artificial Intelligence (DFKI) in Bremen, Director of the Cyber-Physical Systems Group
Institute of Computer Science at the University of Bremen, Full Professor and Head of the Group of Computer Architecture
Email: drechsler@uni-bremen.de
Hörner, Dr. Tanja
Coordinator Data Train (U Bremen Research Alliance)
Email: tanja.hoerner@vw.uni-bremen.de
Steinmann, Dr. Lena
Coordinator Data Science Center (University of Bremen)
Email: lena.steinmann@uni-bremen.de
Cooperating in U Bremen Research Alliance:
