An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study

Podpečan, Vid; Blažica, Bojan; Volkmann, Fabio; Vazquez, Carmen; Creamer, Rachel; Debeljak, Marko

doi:10.3390/data11090226

This is an early access version, the complete PDF, HTML, and XML versions will be available soon.

Open AccessArticle

An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study

by

Vid Podpečan

^1,*

,

Bojan Blažica

¹

,

Fabio Volkmann

²,

Carmen Vazquez

³,

Rachel Creamer

³ and

Marko Debeljak

¹

Jožef Stefan Institute, Jamova 39, 1000 Ljubljana, Slovenia

²

Climate Farmers Academy, Karl-Liebknecht-Straße 34, 10178 Berlin, Germany

³

Soil Biology Group, Wageningen University & Research, Droevendaalsesteeg 3a, 6708 PB Wageningen, The Netherlands

^*

Author to whom correspondence should be addressed.

Data 2026, 11(9), 226; https://doi.org/10.3390/data11090226

Submission received: 6 July 2026 / Revised: 24 August 2026 / Accepted: 2 September 2026 / Published: 5 September 2026

(This article belongs to the Section Information Systems and Data Management)

Download Versions Notes

Abstract

Stakeholder workshops often produce diverse qualitative and ordinal data that are difficult to process consistently, transparently, and reproducibly, particularly in multilingual settings. To address these challenges, we developed an end-to-end workflow for systematic processing of multilingual participatory workshop data. The workflow integrates preprocessing, structured data management, computational analysis, automated reporting, and interactive dissemination. It incorporates a range of data analysis methods, including large language models (LLMs), and supports both qualitative exploration and quantitative comparison of stakeholder perspectives. We also propose an LLM-based approach for topic extraction and intensity scoring, which transforms qualitative workshop inputs into quantitative representations. The workflow is demonstrated in the EU BENCHMARKS project, which involves multiple workshops, stakeholder groups, land-use contexts, and languages. The main contribution of this work is a transparent and adaptable workflow for systematic processing of multilingual participatory workshop data, supporting reproducible analysis, scalable dissemination, and cross-workshop comparison.

Keywords: data analysis workflow; stakeholder workshops; soil health; large language models; topic extraction

Share and Cite

MDPI and ACS Style

Podpečan, V.; Blažica, B.; Volkmann, F.; Vazquez, C.; Creamer, R.; Debeljak, M. An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study. Data 2026, 11, 226. https://doi.org/10.3390/data11090226

AMA Style

Podpečan V, Blažica B, Volkmann F, Vazquez C, Creamer R, Debeljak M. An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study. Data. 2026; 11(9):226. https://doi.org/10.3390/data11090226

Chicago/Turabian Style

Podpečan, Vid, Bojan Blažica, Fabio Volkmann, Carmen Vazquez, Rachel Creamer, and Marko Debeljak. 2026. "An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study" Data 11, no. 9: 226. https://doi.org/10.3390/data11090226

APA Style

Podpečan, V., Blažica, B., Volkmann, F., Vazquez, C., Creamer, R., & Debeljak, M. (2026). An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study. Data, 11(9), 226. https://doi.org/10.3390/data11090226

Article Menu

An End-to-End Workflow for Processing Multilingual Stakeholder Workshop Data: A Soil Health Case Study

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI