DARE: A reflective platform designed to enable agile data-driven research on the cloud

Iraklis Klampanos*, Athanasios Davvetas, Andre Gemund, Malcolm Atkinson, Antonis Koukourikos, Rosa Filgueira, Amrey Krause, Alessandro Spinuso, Angelos Charalambidis, Federica Magnoni, Emanuele Casarotti, Christian Page, Mike Lindner, Andreas Ikonomopoulos, Vangelis Karkaletsis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


The DARE platform has been designed to help research developers deliver user-facing applications and solutions over diverse underlying e-infrastructures, data and computational contexts. The platform is Cloud-ready, and relies on the exposure of APIs, which are suitable for raising the abstraction level and hiding complexity. At its core, the platform implements the cataloguing and execution of fine-grained and Python-based dispel4py workflows as services. Reflection is achieved via a logical knowledge base, comprising multiple internal catalogues, registries and semantics, while it supports persistent and pervasive data provenance. This paper presents design and implementation aspects of the DARE platform, as well as it provides directions for future development.

Original languageEnglish
Title of host publication2019 15th International Conference on eScience (eScience)
Number of pages8
ISBN (Electronic)9781728124513
Publication statusPublished - 19 Mar 2020
Event15th IEEE International Conference on eScience 2019 - San Diego, United States
Duration: 24 Sept 201927 Sept 2019


Conference15th IEEE International Conference on eScience 2019
Abbreviated titleeScience 2019
Country/TerritoryUnited States
CitySan Diego


  • Cloud
  • Conceptualisation
  • Data-driven science
  • Provenance
  • Scientific workflows
  • Software platform
  • Technology
  • Workflow optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Ecological Modelling
  • Modelling and Simulation


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