Published February 17, 2026 | Version v1.0
Dataset Open

Dataset generated by research on Post-COVID-19 Cultural Tourism in Sicily, Italy: visitors to the Farm Cultural Park museum in Favara.

  • 1. Universidad de Córdoba
  • 2. ROR icon University of Almería
  • 3. ROR icon University of Córdoba

Description

GENERAL INFORMATION

This dataset has been generated as part of the doctoral thesis of Lucia Borsellino, his thesis supervisor Juan Vicente Fruet Cardozo  and the researcher José Valverde-Roda. This dataset contains information of visitor profiles and experiences at the Farm Cultural Park (FCP) Sicily, Italy, during the initial months following the COVID-19 lockdown (June–August 2020), focusing on sustainable and participatory tourism.

  • Geographic location of data collection: Latitude 37.3186° N, longitude 13.6622° E, City of Favara, Sicily, Italy.
  • Information about funding sources that supported the collection of the data: No funding sources.
DATA & FILE OVERVIEW
 
File List: 
  • 20200901_FCPFavara_Readme_v01.txt (Documentation, Methodological description, Data dictionary and Metadata guide for the dataset 20200901_FCPFavara_Dataset_v01.csv)
  • 20200901_FCPFavara_Dataset_v01.csv (Dataset resulting from a questionnaire conducted on a sample of visitors to the Farm Cultural Park museum). The document is provided in Comma-Separated Values (.csv) format using UTF-8 encoding to preserve multilingual characters. Download link: https://doi.org/10.5281/zenodo.18674600
  • 20200901_FCPFavara_questionnaire_EN_v01.pdf (Structured questionnaire in English administered on paper to a representative sample of visitors to the Farm Cultural Park museum. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards), Download link: https://doi.org/10.5281/zenodo.18674600
  • 20200901_FCPFavara_questionnaire_IT_v01.pdf (Structured questionnaire in Italian administered on paper to a representative sample of visitors to the Farm Cultural Park museum. The document is provided in PDF/A format to ensure long-term digital preservation and compliance with FAIR standards), Download link: https://doi.org/10.5281/zenodo.18674600
    • Relationship between files, if important: N/A
    • Additional related data collected that was not included in the current data package:N/A
    • Are there multiple versions of the dataset?: N/A
      • If yes, name of file(s) that was updated:N/A
      • Why was the file updated? N/A
      • When was the file updated? N/A

Methods (English)

METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data:

The data was collected through a structured questionnaire administered on print paper to a representative sample of visitors to the Farm Cultural Park museum, Favara, Sicily (Italy). The questionnaire was designed to evaluate visitor preferences, motivations, and perceptions regarding the participatory and sustainable activities of the Farm Cultural Park (FCP). The sampling technique was non-probabilistic (convenience sampling), a common approach in tourism research when intercepting subjects at specific heritage sites and cultural venues (Finn et al., 2000).
 
The questionnaire was developed based on established literature (Yolal et al., 2019; Saayman and Saayman, 2016; Kruger and Saayman, 2016; Fonseca and Ramos, 2014) and underwent a three-phase validation process:
 
  1. Review by a tourism expert.
  2. Examination by local tourism stakeholders in Farm Cultural Park museum, Favara, Sicily (Italy).
  3. A pre-test with a pilot sample of 50 tourists.
 
The questionnaire used to compile this dataset is structured into four thematic modules:
  • Module 1: Visit Characteristics. Tracks visitor behavior, including previous experience with the museum, social composition of the visiting group, and future visitation intent for 2021.
  • Module 2: Preferences and Motivations. Analyzes visitor tastes regarding the Farm Cultural Park (FCP) and the specific cultural activities that drive attendance.
  • Module 3: Perception and Expectations. Evaluates destination attributes based on the visitor experience and expectations for future engagement.
  • Module 4: Socio-demographic Profile. Records participant metadata, including age, gender, educational level, and household income.
Methodological Note: Due to the lack of prior reference studies for this specific site, the sample was not stratified by socio-demographic parameters. Data were collected to explore the social and participatory components of the FCP museum in a post-lockdown context.
 
Fieldwork was conducted between june and August 2020, therefore, it must be considered that they were the first months after the confinement decreed in the country due to Covid-19, with all the obvious difficulties. Questionnaires were available in Italian and English to ensure diversity and minimize language barriers.
 
Methods for processing the data:
 
A total of 500 questionnaires were collected. Data cleaning involved the removal of incomplete or inconsistent responses, resulting in a final dataset of 302 valid cases. To ensure anonymity (FAIR compliance):
  • No direct personal identifiers (names, IDs, or contact details) were collected.
  • Socio-demographic variables (age, income) were collected using closed categories to prevent re-identification.
  • Qualitative responses from the Likert scales were digitized and checked for outliers or acquiescence bias.
Instrument- or software-specific information needed to interpret the data:
 
Data processing and cleaning were conducted using IBM SPSS Statistics (v.26.0.0). To ensure long-term interoperability and accessibility in alignment with FAIR principles, the final dataset was exported to a non-proprietary Comma-Separated Values (.csv) format using UTF-8 encoding to preserve multilingual characters.
 
Additional methodological information needed to interpret and/or use the data, as appropriate:
 
  • Standards and calibration information, if appropriate:The Likert scales were intentionally reversed in some items to avoid response acquiescence and ensure data reliability.

    Environmental/experimental conditions:To ensure the validity of the responses, the sample was restricted to visitors of the Farm Cultural Park museum.

    Describe any quality-assurance procedures performed on the data: A pre-test was conducted (n=50) to ensure item clarity. During fieldwork, the refusal rate was monitored and found to be negligible, not affecting the representativeness of the sample.

    People involved with sample collection, processing, analysis and/or submission:The fieldwork was carried out by a team of surveyors from the towns of Ribera and Favara in Sicily, led by the authors. The fieldwork was carried out by a team of surveyors from the towns of Ribera and Favara in Sicily, led by the authors. Data entry and analysis were performed by the authors of the research.

DATA-SPECIFIC INFORMATION FOR: 20200901_FCPFavara_Dataset_v01.csv

  • Number of variables: 57
  • Number of cases/rows: 302
  • Missing data codes: N/A
  • Specialized formats or other abbreviations used: N/A

Files

20200901_FCPFavara_Readme_v01.txt

Files (69.6 kB)

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Additional details

Related works

Is supplement to
Journal article: 10.30892/gtg.46124-1018 (DOI)
Thesis: 10396/29846 (Handle)
Dataset: 10.5281/zenodo.18674600 (DOI)

Dates

Submitted
2026-02-17
Date on which the data were deposited in Zenodo.
Collected
2020-08-01
The data was collected during the period between 2020-06-01 and 2020-08-01.

References

  • Finn, M., Elliott-White, M., & Walton, M. (2000). Tourism and leisure research methods: Data collection, analysis and interpretation. Pearson Education.
  • Fonseca, J., & Ramos, R. (2014). Segmenting and profiling the portuguese festival-goers through the most ancient form of music retailing: the music festivals. Journal of Convention and Event Tourism, 15(4), 271-297. https://doi.org/10.1080/15470148.2014.961668
  • Kruger, M., & Saayman, M. (2016). A 3E typology of visitors at an electronic dance music festival. International Journal of Event and Festival Management, 7(3), 219-236. https://doi.org/10.1108/IJEFM-04-2016-0027
  • Saayman, M., & Saayman, A. (2016). Clustering attendees at the Philharmonic Orchestra ́s Summer Festival. Leisure Studies, 35(3), 314-331. https://doi.org/10.1080/02614367.2014.962582
  • Yolal, M., Özdemir, C., & Batmaz, B. (2019). Multidimensional scaling of spectators' motivations to attend a film festival. Journal of Convention and Event Tourism, 20(1), 64-83. https://doi.org/10.1080/15470148.2018.1563012