Georeferenced Agricultural Data for Statistical Reuse

Katalin Tóth

doi:10.3390/geosciences8050188

Abstract

The guidelines to the Public Sector Information (PSI) Directive states: “opening up public sector information (PSI) for reuse brings major socioeconomic benefits”, which has been recognised in various domains. However, the reuse may be limited due to organisational and technical reasons. This study addresses the collaboration between the statistical and the agricultural domain using the example of the Integrated Administration and Control System (IACS) and the Integrated Farm Statistics (IFS). After the comparison of the spatial data requirements in IACS and IFS, a conceptual collaboration model was developed that makes clear how the challenges of interoperability can be resolved by technical arrangements and work organisation.

Highlights

The directive on the re-use of public sector information (Directive 2003/98/EC, known as the “Public Sector Information (PSI) Directive”) [1] and its amendment [2] encourages the member states (MS) of the EuropeanUnion (EU) to reuse existing documents held by the public sector
Regulation COM (2016) 786 defines the categories of statistical variables. They are rigid classifications, which cannot be changed at the local level. This business rule is justified by the requirement of comparability of statistics and uniformity of reports delivered by the MS
Adopting the standard set of metadata specified in INSPIRE, which is applied for the Land Parcel Identification System (LPIS) component of the Integrated Administration and Control System (IACS), would be a good solution to better position statistical and other data in the IACS in the national and the European spatial data infrastructures (SDI)

Summary

Introduction

Union (EU) to reuse existing documents held by the public sector. It states that, apart from a few exceptions, all content under national access should be reusable beyond the original scope under non-discriminatory conditions. The guidelines to the PSI Directive [3] specify that “opening up public sector information for reuse brings major socioeconomic benefits. The INSPIRE Directive [4] identifies missing metadata, unsatisfactory discovery services, unclear licensing and a lack of interoperability as main obstacles of sharing spatial information in the context of policies that have an environmental impact. During more than 10 years of its existence, INSPIRE made good progress in overcoming these obstacles within the scope of the 34 data themes defined in its annexes.

Methods

Results

Discussion

Conclusion