Open data of tourist inventories and host communities
a proposal of field structure for its opening
Introduction: This article is the product of the master’s research project “Proposal for an open data architecture referring to tourist inventories and characteristics of host communities in Colombia” carried out in 2023 at the Universidad Distrital Francisco José de Caldas in Bogota.
Problem: There is a lack of open data in tourism related to tourist inventories and the characteristics of host communities. These data are essential to support informed decision-making that takes into account the needs and constraints of tourist attractions and related host communities—an essential aspect for the development of smart tourism destinations.
Objective: The objective of this research is to contribute to the definition of the data fields that should comprise open datasets to facilitate the analysis of tourist inventories and the characterization of host communities. Methodology: The methodology is based on a literature review. The search was done using the Scopus database and Google Scholar.
Results: A total of 60 data fields grouped into 12 categories were identified for tourist inventories, and 49 fields grouped into 3 categories were identified for host community characteristics.
Conclusion: The identified data fields address essential aspects required to understand the real conditions, needs, and constraints of host communities and tourist attractions.
Originality: This research defines a general structure of data fields that can serve as a foundation for the development of open data models related to tourism inventories and host community characteristics.
Limitations: The identification of data fields was conducted in a general manner, without focusing on specific types of tourist attractions or particular aspects of individual host communities.
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