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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
    • Overview
    • Organization
    • Scientific Advisory Board
    • Events
  • Research Areas and Subprojects
    • Research Area A: Abstractions for DAW Specification Languages
      • A1: Foundations of Data Analysis Workflow Validation
      • A2: Adapting Genomic Data Analysis Workflows for Different Data Access Patterns
      • A3: Deriving Trust Levels for Multi-Choice Data Analysis Workflows
      • A5: Dependability, Adaptability and Uncertainty Quantification for Data Analysis Workflows in Large-Scale Biomedical Image Analysis
      • A6: Data Analysis Workflows for Interactive Scientific Exploration
    • Research Area B: Abstractions for DAW Execution Infrastructures
      • B1: Scheduling and Adaptive Execution of Data Analysis Workflows across Heterogeneous Infrastructures
      • B2: Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision
      • B3: Debugging Distributed Data Analysis Workflows
      • B4: Exploiting Software-Defined Networks for Efficient Data Management in Next-Generation Data Analysis Workflows
      • B5: Adaptive, Distributed and Scalable Analysis of Massive Satellite Data
      • B6: Distributed Run-Time Monitoring and Control of Data Analysis Workflows
    • Area S: Central Service and Administration Projects
      • S1: Testbeds and Repositories
      • S2: Integrated Research Training Group
  • Participants
    • Partners
    • Scientists
  • Publications
  • |News|
  • BER Data Science

Area S: Central Service and Administration Projects

This area comprises service projects and administrative projects. Subproject S1 maintains and provides several testbeds for DAW development and repositories of real-life DAWs and real-life provenance traces.

S1: Testbeds and Repositories (Kao, Leser)
S2: Integrated Research Training Group (Grunske, Reinert)

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.
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Contact

For more information, please contact our Coordinator Dr. Marcus Hilbrich.

FONDA’s Research Areas

  • Overview of Resarch Areas and Subprojects in FONDA
  • Research Area A: Abstractions for DAW Specification Languages
  • Research Area B: Abstractions for DAW Execution Infrastructures
  • Area S: Central Service and Administration Projects

Partners in FONDA

  • Overview of partners in the FONDA Collaborative Research Center
  • Prof. Volker Markl
  • Prof. Ulf Leser
  • Prof. Timo Kehrer
  • Prof. Tilmann Rabl
  • Prof. Peter Eisert
  • 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. Christoph T. Koch
  • Prof. Björn Scheuermann
  • Prof. Alexander Reinefeld
  • Prof. Birte Kehr

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  • About FONDA
    • General Information
    • Overview
    • Organization
    • Scientific Advisory Board
    • Events
  • Research Areas and Subprojects
    • Research Area A: Abstractions for DAW Specification Languages
      • A1: Foundations of Data Analysis Workflow Validation
      • A2: Adapting Genomic Data Analysis Workflows for Different Data Access Patterns
      • A3: Deriving Trust Levels for Multi-Choice Data Analysis Workflows
      • A5: Dependability, Adaptability and Uncertainty Quantification for Data Analysis Workflows in Large-Scale Biomedical Image Analysis
      • A6: Data Analysis Workflows for Interactive Scientific Exploration
    • Research Area B: Abstractions for DAW Execution Infrastructures
      • B1: Scheduling and Adaptive Execution of Data Analysis Workflows across Heterogeneous Infrastructures
      • B2: Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision
      • B3: Debugging Distributed Data Analysis Workflows
      • B4: Exploiting Software-Defined Networks for Efficient Data Management in Next-Generation Data Analysis Workflows
      • B5: Adaptive, Distributed and Scalable Analysis of Massive Satellite Data
      • B6: Distributed Run-Time Monitoring and Control of Data Analysis Workflows
    • Area S: Central Service and Administration Projects
      • S1: Testbeds and Repositories
      • S2: Integrated Research Training Group
  • Participants
    • Partners
    • Scientists
  • Publications
  • |News|
  • BER Data Science
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