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FONDA – Foundations of Workflows for Large-Scale Scientific Data Analysis

FONDA – Foundations of Workflows for Large-Scale Scientific Data Analysis

DFG Collaborative Research Center 1404 at Humboldt-Universität zu Berlin

  • About FONDA
    • General Information
      • Phase I: PAD
      • Phase II: SUM
    • Organization
    • Scientific Advisory Board
    • Mercator Fellows
    • Equal Opportunity Resources
  • Research Areas and Subprojects
    • Research Area A: DAW Specification
      • A1: Query-driven Validation of Distributed DAWs
      • A2: Energy-Aware Optimization of Workflows in Bioinformatics
      • A3: Hardening Computational Materials-Science Workflows against Human Errors
      • A5: Workflows for Annotation-Efficient Machine Learning in Biomedical Imaging Research
      • A7: Semantic Composition and Validation of Interacting DAWs in Computational Materials Science
    • Research Area B: DAW Execution
      • B1: Carbon-aware Multi-site Workflow Scheduling Under Uncertainty
      • B4: Proactive Network, I/O, and Storage Steering for Multiple DAWs on Shared Infrastructures
      • B5: Transparent Multi-Site Data Analysis Workflows for Earth Observation
      • B6: End-to-end Energy Profiles of ML-based Data Analysis Workflows
      • B7: Efficient DAW Execution Using Incremental Data for Monitoring Forest Disturbances
    • Research Area C: DAW Design
      • C1: Collaborative Design of Exploratory DAWs in Neuroscience
      • C2: Early Workflow Design: From Collaborative Scientific Problem-Solving to DAW Specifications
      • C3: User Centered Design for Data Analysis Workflow Languages
    • Area S: Central Service and Administration Projects
      • S1: Testbeds and Repositories
      • S2: Integrated Research Training Group
    • Teams
      • T6: Reference Stack for DAW Infrastructures
      • T7: Large-Language Models for DAW Design and Maintenance
      • T8: The Workflow Clinic
      • T9: Reproducibility Badging
  • Participants
    • Principal Investigators
    • Scientists
  • Publications
  • |News|
  • BER Data Science

Author: Ulf Leser

FONDA overview paper published

Our overview paper describing the FONDA initiative has been accepted at the Datenbank Spektrum.

Author Ulf LeserPosted on 17/09/202108/02/2022Categories Uncategorized

FONDA’s technology partner FAIRmat is funded as part of the NFDI

FONDA congratulates the FAIRmat team for being funded as
part of the NDFI (National Research Data Infrastructure
Initiative). FAIRmat is led by Prof. Claudia Draxl, who is also a PI in
FONDA (subproject A3). FAIRmat and FONDA agreed on a technology
partnership to strengthen the impact of workflow technologies on
material science.

Author Ulf LeserPosted on 24/08/202108/02/2022Categories Uncategorized

FONDA opens position for a W1 professor in „Distributed Computing”

FONDA is excited to open a professorship for Distributed Computing at the institute for Computer Science at Humboldt-Universität zu Berlin.

For details, please visit the official advertisement or contact as directly.

Author Ulf LeserPosted on 08/08/202108/02/2022Categories Uncategorized

FONDA teams-up with HEIBRiDS for joint guest lectures and courses

FONDA and HEIBRiDS, the HELMHOLTZ EINSTEIN INTERNATIONAL BERLIN RESEARCH SCHOOL IN DATA SCIENCE, have signed an agreement to open their courses and guest lectures for researchers in the other organization. This is an important step towards a Berlin-wide community on Data Science for the Natural Sciences.

Author Ulf LeserPosted on 08/07/202108/02/2022Categories Uncategorized

FONDA contributes to the workflow system Nextflow

Fabian Lehmann, Ph.D. student in project B5 on adaptive scheduling in workflow systems, has become an official contributor to the popular Nextflow workflow engine.

Author Ulf LeserPosted on 02/07/202108/02/2022Categories Uncategorized

FONDA opens position for a W1 professor in „Human-Computer Interaction for Scientific Software”

FONDA is excited to open a professorship for Human-Computer Interaction for Scientific Software at the institute for Computer Science at Humboldt-Universität zu Berlin.


For details, please visit the official advertisement or contact as directly.

Author Ulf LeserPosted on 24/06/202108/02/2022Categories Uncategorized

Easier and reusable Data Analysis for the Natural Sciences

See our new short description of the research we will be doing in FONDA.

Author Ulf LeserPosted on 03/08/202008/02/2022Categories Uncategorized

About FONDA

FONDA investigates methods for increasing productivity in the development, execution, and maintenance of Data Analysis Workflows for large scientific data sets. We approach the underlying research questions from a fundamental perspective, aiming to find new abstractions, models, and algorithms that can eventually form the basis of a new class of future infrastructures for Data Analysis Workflows.
Read More …



Contact

For more information, please contact our Coordinator Tobias Price.

FONDA’s Research Areas

  • Overview of Resarch Areas and Subprojects in FONDA
  • Research Area A: DAW Specification
  • Research Area B: DAW Execution
  • Research Area C: DAW Design
  • Area S: Central Service and Administration Projects
  • Teams

Principal Investigators in FONDA

  • Overview of Principal Investigators and Participating Institutions
  • Prof. Ulf Leser
  • Prof. Tilmann Rabl
  • Prof. Patrick Hostert
  • Prof. Odej Kao
  • Prof. Nicole Schweikardt
  • Prof. Matthias Weidlich
  • Prof. Lars Grunske
  • Prof. Kerstin Ritter
  • Prof. Knut Reinert
  • Prof. Henning Meyerhenke
  • Prof. Dagmar Kainmüller
  • Prof. Claudia Draxl
  • Prof. Björn Scheuermann
  • Dr. Florian Schintke
  • Prof. Martin Herold
  • Prof. Jan Mendling
  • Prof. Matthias Boehm
  • Prof. Thomas Kosch
  • Malte Dreyer
  • Prof. Fatma Deniz
  • Prof. Anna-Lena Lamprecht
  • Dr. Tilmann Hickel
  • Dr. Pasquale Pavone
  • Prof. Alexander Reinefeld (FONDA I)
  • Prof. Christoph T. Koch (FONDA I)
  • Prof. Birte Kehr (FONDA I)
  • Prof. Volker Markl (FONDA I)
  • Prof. Timo Kehrer (FONDA I)
  • Prof. Peter Eisert (FONDA I)

Imprint
  
Privacy Statement

  • About FONDA
    • General Information
      • Phase I: PAD
      • Phase II: SUM
    • Organization
    • Scientific Advisory Board
    • Mercator Fellows
    • Equal Opportunity Resources
  • Research Areas and Subprojects
    • Research Area A: DAW Specification
      • A1: Query-driven Validation of Distributed DAWs
      • A2: Energy-Aware Optimization of Workflows in Bioinformatics
      • A3: Hardening Computational Materials-Science Workflows against Human Errors
      • A5: Workflows for Annotation-Efficient Machine Learning in Biomedical Imaging Research
      • A7: Semantic Composition and Validation of Interacting DAWs in Computational Materials Science
    • Research Area B: DAW Execution
      • B1: Carbon-aware Multi-site Workflow Scheduling Under Uncertainty
      • B4: Proactive Network, I/O, and Storage Steering for Multiple DAWs on Shared Infrastructures
      • B5: Transparent Multi-Site Data Analysis Workflows for Earth Observation
      • B6: End-to-end Energy Profiles of ML-based Data Analysis Workflows
      • B7: Efficient DAW Execution Using Incremental Data for Monitoring Forest Disturbances
    • Research Area C: DAW Design
      • C1: Collaborative Design of Exploratory DAWs in Neuroscience
      • C2: Early Workflow Design: From Collaborative Scientific Problem-Solving to DAW Specifications
      • C3: User Centered Design for Data Analysis Workflow Languages
    • Area S: Central Service and Administration Projects
      • S1: Testbeds and Repositories
      • S2: Integrated Research Training Group
    • Teams
      • T6: Reference Stack for DAW Infrastructures
      • T7: Large-Language Models for DAW Design and Maintenance
      • T8: The Workflow Clinic
      • T9: Reproducibility Badging
  • Participants
    • Principal Investigators
    • Scientists
  • Publications
  • |News|
  • BER Data Science
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