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Innovative form generator for recording complex support programmes

Kurzanzeige
dc.contributor.authorAue, Alexander
dc.contributor.authorAckermann, Andrea
dc.contributor.authorRöder, Norbert
dc.date.accessioned2024-04-08T11:56:33Z
dc.date.available2024-04-08T11:56:33Z
dc.date.issued2024
dc.description.abstractIn an effort to incentivize environmental protection actions among farmers, different administrations offer various support programmes. These programmes differ between states, change over time and are published in non-machine-readable formats. Since the lack of a nationwide database hampers the comprehensive evaluation of these programmes, we propose a flexible form generator for standardizing the programme descriptions. Our tool meets the needs of researchers as it facilitates the transformation of text-based definitions to a well-structured relational database with its graphical questionnaire user interface. Redundancies in data input are avoided by allowing the collected data of a support program to be inherited by another and to extend it by additional properties or overwriting existing ones. Furthermore, it accommodates complex data collection needs, supporting limitless sub-questions and customized input fields. The resulting hierarchical data is automatically stored in a relational database, ensuring a user-friendly experience both for quantitative researchers and data analysts. This innovative approach enhances the evaluation of e.g. environmental protection programmes.en
dc.identifier.doi10.18420/giljt2024_24
dc.identifier.isbn978-3-88579-738-8
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43870
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics(LNI) - Proceedings, Volume P - 344
dc.subjectform generator
dc.subjectform builder
dc.subjectdata collection
dc.subjectunstructured data
dc.subjectdata inheritance
dc.subjecthierarchical data
dc.subjectrelational data
dc.titleInnovative form generator for recording complex support programmesen
dc.typeText/Conference Paper
gi.citation.endPage190
gi.citation.publisherPlaceBonn
gi.citation.startPage185
gi.conference.date27.-28. Februar 2024
gi.conference.locationStuttgart
gi.conference.reviewfull

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P344 - 44. GIL-Jahrestagung 2024 - Fokus: Biodiversität fördern durch digitale Landwirtschaft