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Dataset Overview
•	Dataset Title: Stakeholder Survey on Biosecurity and Animal Welfare in EU Organic, Extensive, and Small-Scale Pig and Poultry Farming Systems 
•	Associated Publication: Life worth living or healthy lives? Stakeholder views on biosecurity and animal welfare in EU organic, extensive and small-scale pig and poultry farming systems
•	Primary Data File: Ppilow_for_pubblication.csv
•	Survey Questionnaire Instrument: quexmlpdf_957488_en.pdf
•	Dataset Size: 243 survey response records across 309 variables
Authors & Contact Information
•	Matteo Bassoli (Corresponding Author)
o	ORCID: 0000-0003-3601-9099
o	Affiliation: Department of Political Science, Law, and International Studies, University of Padua, Via del Santo 28, 35123 Padova, Italy
o	Email: matteo.bassoli@unipd.it
•	Anne Collin
o	ORCID: 0000-0002-3410-6108
o	Affiliation: INRAE, Université de Tours, BOA, 37380 Nouzilly, France
o	Email: anne.collin@inrae.fr
•	Jacopo Goracci
o	ORCID: 0000-0002-3908-4438
o	Affiliation: Slow Food, Via della Mendicità Istruita, 12042 Bra, Italy
o	Email: jacopogoracci@hotmail.com
•	Helen Pluschke
o	ORCID: 0009-0009-8914-4257
o	Affiliation: Thünen-Institut für Ökologischen Landbau, Trenthorst 32, 23847 Westerau, Germany
o	Email: h.pluschke@thuenen.de
•	Bas Rodenburg
o	ORCID: 0000-0002-3371-1461
o	Affiliation: Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL Utrecht, The Netherlands
o	Email: t.b.rodenburg@uu.nl
•	Marina Spinu
o	ORCID: 0000-0003-0005-9638
o	Affiliation: Department of Infectious Diseases and Preventive Medicine, Law and Ethics, University of Agricultural Sciences and Veterinary Medicine, Calea Mănăștur 3-5, Cluj-Napoca 400372, Romania
o	Email: marina.spinu@gmail.com
•	Sanna Steenfeldt
o	ORCID: 0009-0002-0277-9938
o	Affiliation: Department of Animal and Veterinary Sciences, Aarhus University, Blichers Alle 20, DK-8830 Tjele, Denmark
o	Email: sanna.steenfeldt@anivet.au.dk
•	Daniela Werner
o	ORCID: 0000-0002-9926-756X
o	Affiliation: Thünen-Institut für Ökologischen Landbau, Trenthorst 32, 23847 Westerau, Germany
o	Email: daniela.werner@thuenen.de
•	Anna Zuliani
o	ORCID: 0000-0002-9193-8031
o	Affiliation: Veterinari Senza Frontiere, IZS delle Venezie, viale dell’Università 10, 35020 Legnaro, Italy
o	Email: zulianute@gmail.com
Funding & Grant Information
This study was:
•	Partly funded by: The PPILOW project (Poultry and Pig Low-Input and Organic Production Systems’ Welfare), funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 816172.
•	Partly funded by: The University of Padova, Department of Political Science, Law, and International Studies.
Dataset Description & Structure
The dataset collects quantitative and qualitative survey responses from organic, extensive, and small-scale pig and poultry farmers, veterinarians, advisors, and practitioners across European Union member states (including Italy, France, Germany, Denmark, Netherlands, Romania, and Belgium). 
The primary objective of the survey is to analyze real on-farm practices, biosecurity measure implementations, animal health perceptions, disease risk perceptions (e.g., African Swine Fever, Avian Influenza), policy compliance, and self-efficacy/self-esteem psychological constructs among stakeholders. 
Key Survey Sections
1.	Section A — Privacy & Consent: GDPR compliance confirmation. 
2.	Section B — Species Focus: Species managed (Pigs, Poultry, or Both). 
3.	Section C & D — Animal Health & Welfare Perceptions: Ratings on welfare aspects (hunger, comfort, outdoor access, mutilations, human-animal relationship) and biosecurity familiarity. 
4.	Section E — Biosecurity Measures Implementation:
o	Implementation frequency, non-implementation reasons (e.g., cost, time, lack of training, unadapted to farm), and perceived efficiency for 13 specific measures. 
5.	Section F — Disease Outbreak Risks & Policy Support:
o	Outbreak fears (e.g., export ban, stamping out, loss of genetic lines) for African Swine Fever (ASF) and Avian Influenza (AI). 
o	Public support requests, disease occurrence rates, economic impacts (1–7 scale), and efficacy of regional/national health programs. 
6.	Section G — Biosecurity Policy & Trust:
o	Likert scale agreement on biosecurity regulations leading to better long/short-term welfare. 
o	Willingness to report non-compliance and trust level (1–10 scale) in local veterinary authorities, national government, and the EU. 
7.	Section H — Psychological Scales:
o	General Self-Efficacy Scale items (H1). 
o	Rosenberg Self-Esteem Scale items (H2). 
8.	Section I — Sociodemographic & Farm Profiles:
o	Job role, animal count, hired labor, commercial vs. native breeds, production system (organic vs. conventional), age, farming experience, education, gender, country, and region. 
Data Dictionary / Key Variable Map
Variable Name Group | Description / Measure | Scale / Values
id, submitdate | Metadata identifiers and submission timestamp | Datetime / Text
Species, Pig, Poultry | Farming focus indicators | Categorical (Pigs / Poultry / Both)
Q2_1 – Q2_10 | Welfare priorities ratings (hunger, comfort, pain, emotional state) | Likert 1 (Not important) to 5 (Very important)
Q4_1 – Q4_13 | Implementation frequency of 13 biosecurity practices | Likert 1 (Never) to 5 (Always)
reas1 – reas13 | Coded primary reason for non-implementation of biosecurity measures | Categorical (Cost, Time, Training, Farm structure, etc.)
Impact_1, Impact_2 | Economic impact of general diseases vs. ASF/AI | Scale 1 (No impact) to 7 (Very high impact)
Trust1, Trust2, Trust3 | Trust in Local Vet Authority, National Government, EU | Rating 1 (No trust at all) to 10 (Complete trust)
Self_esteem, Internal_efficacy | Aggregated psychological construct scores | Computed continuous scales
Job, Nation, Organic | Demographic, geographic, and farm certification classifications | Categorical

Ethics & Privacy Statement
Personal data collected via this questionnaire was processed in accordance with European Union GDPR Regulation 2016/679. Respondents provided explicit consent prior to completing the survey. All dataset entries have been anonymized; no direct personal identifiers or specific business contact data are present in Ppilow_for_pubblication.csv.