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Can we make complex easy? A sneak preview at the next generation of Data Transformation tools

Thorsten Reitz

(Submission #338)


Implementing any large infrastructure project is a challenge with many different aspects, one of which is to create high-quality data sets compliant with the INSPIRE technical guidance. Within that process, we identified several recurring issues:

In this talk, we’re going to present the results of our work with hundreds of hale studio users and the new components we’ve built to address these issues:

  1. Working together effectively: hale connect is a cloud platform that enables its users to share transformation projects, data models, and data sets. It also makes the creation of view and download services from a shared data set very easy, and integrates service and dataset validation. Hale connect provides collaboration features such as discussions, tasks, and versioning.
  2. Structured model mapping is a new type of user interface for defining data transformations. It takes the metaphor of a mapping cell already present in hale studio and centers the whole authoring workflow on individual cells. It combines this with source data analytics to provide a structured, data-driven process to its users.


Topic Area:  [2.3] Technologies and tools to support implementing, using and assessing the technical implementation of INSPIRE
Abstract Type:  Oral Presentation

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