|START Conference Manager|
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:
- Working together effectively: Harmonisation projects require knowledge from groups of technical and domain experts. In some projects, we’ve had up to 30 people pulled in for their expertise.
- Dealing with complexity and data variability: many source data models, e.g. from national standards or from proprietary database systems, are at least as complex as INSPIRE. They are often implemented inconsistently, leading to highly complex transformation processes with lots of very specific code, making them hard to maintain.
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:
- 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.
- 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
START Conference Manager (V2.61.0 - Rev. 4840)