Speaker Bio & Abstract

Akshat Bajaj Marketing Manager
wetransform GmbH

BiographyAkshat Bajaj is the Marketing Manager at the wetransform GmbH, an organization that specializes in geodata harmonizations and making data truly interoperable. Wetransform focuses on providing organizations with data-driven tools to allow them to fully leverage their data, and to allow them to make informed decisions based on consistent and high quality geodata.

As the Marketing Manager, Akshat oversees the analysis of consumer trends relevant to Geodata ETL products in the EU public sector. A central part of his position is understanding the processes in place and the common pain points of organizations that deal with large amounts of geodata. AbstractFor successful geodata management across international boundaries, the EU has introduced the INSPIRE Directive. INSPIRE aims at achieving interoperability in the EU by standardizing geodata. There are also additional standardization requirements that organizations are required to comply with as e-reporting such as the CDDA e-reporting standard.

We aim at demonstrating a workflow that makes a Web Feature Service compliant with INSPIRE specifications with extended compliancy to CDDA E-Reporting standards and obligations.

For this process, a new reporting scheme was proposed. This reporting scheme is called the “Linked Approach”, and requires that two files are delivered for each data set:
Type 1: INSPIRE Protected Sites GML
Type 2: Conventional XML document with additional EIONET information and reference to the protected sites features contained in the Type 1 file

To create Type 1 and Type 2 resources, we used hale connect, an extensible and configurable cloud tool that uses (extended) INSPIRE data and services as a data source, transforms those data sets to eReporting GML/XML, and enables users to download the resulting files and eventually allows organization to make efficient data-driven decisions. The tool is extensible to other eReporting obligations. We will also identify issues that arose with data consistency in the process and how they were dealt with.