The III National Open Data Meeting (better known by its acronym ENDA) took place on 31 May 2024 in the Gothic Hall of the Papa Luna Castle, in Peñíscola. The event was organised by the Diputación de Castellón, with the collaboration of the Diputación de Barcelona and the Government of Aragón. This Third Meeting took over from those held in Barcelona and Zaragoza in 2022 and 2023, respectively, thus closing the first cycle of meetings and giving way to three new organisers with new ideas and new challenges to face.

The main theme of the day was the promotion of the tourism sector. The objective was to ensure digitisation and easy access to open data in order to offer quality and sustainable tourism experiences.

Crucial issues related to effective management, strategic analysis and implementation of data in an increasingly information-driven world were addressed during the meeting. Round tables and conclusions of work carried out by experts in the months leading up to the congress provided a comprehensive view of the application of open data in the tourism sector and all its associated activities, with the aim of benefiting not only the public administrations themselves, but also the private sector and the general public.

 The III National Open Data Meeting lasted approximately eight hours and was attended by almost 100 people. The organisers decided not to broadcast the event live, as had been done in previous editions, in order to encourage spectators to attend the castle in person.

Start at 08:30 a.m

The event started at 08:30 in the morning with the staggered arrival of attendees and the distribution of accreditations. Half an hour later, at 09:00, the official inauguration of the Meeting was held by Marta Barrachina Mateu, President of the Provincial Council of Castellón. The event welcomed the attendees and thanked the organisers, especially the Diputación de Castellón, for their great work in organising, disseminating and convening the event.

At 09:15 the opening speech was given by José Norberto Mazón López, Professor of Computer Languages and Systems at the University of Alicante. José spoke about the importance of creating a data-driven society, not only at the Spanish level, but also at the European level. He highlighted that there has been an exponential increase in the value of tourism data compared to the first data that started to be collected way back in 2018.

He further stressed that such data is underpinned by 3 main axes, namely public administrations, private businesses and citizens, and that it is crucial that all three entities collaborate with each other to ensure the quality, integrity and reliability of the data.

Table 1: Tourism and the economy: a data space for growth and development

The first round table, entitled "Tourism and economy: a data space to favour growth and development", started at 10:00 and was moderated by Sonia Castro García-Muñoz, Coordinator of the Digital Public Services Department of Red.es. The speakers at this first round table were as follows:

• Sergio Ballentani, Head of the Comunitat Valenciana Geoportal/Tourist Map.

• Desam Garcia Sevilla, Technician of product creation for international promotion and tourism of the Diputación de Valencia.

• José Luis Galar, Head of the Analysis and Strategy Area of Aragon Tourism.

• Francisco Mestre, President of the Network of the Most Beautiful Villages of Spain.

This first round table dealt with the use of geographic data as a driving force for tourism thanks to the interactive services they can offer and which facilitate tourist movement. The need to use European standards to standardise the structure of the datasets and thus optimise the exchange of data between public administrations was also addressed, and it was stressed that Spain is currently the country most visited by tourists and one of the most competitive in the world in the field of tourism, highlighting the role played by private businesses and companies in the sector.

Once the first round table was over, there was a 30-minute break for coffee, stretching the legs and sharing impressions with the speakers and the rest of the attendees.

Table 2: How data can improve experiences and make tourism sustainable

After the break, the second round table, moderated by Borja Colón de Carvajal, Head of the Public Administration and Innovation Service of the Provincial Council of Castellón, began with a debate on how data can improve experiences and make tourism sustainable. This second roundtable featured the following speakers:

• Virginia Ochoa, Manager of the Castellón Provincial Council's Tourist Board

• Luis Falcón, President of the ASEDIE Geospatial Commission.

• Alberto González-Yanes, Deputy Director of Statistical Modernisation of the Canary Islands Statistics Institute (ISTAC).

• Enrique Crespo, Technical Advisor in the Directorate General for Transparency and Quality of Madrid City Council.

• Juan Carlos Lázaro López, Technical Manager of Open Data of the Government of Navarre.

The main topics discussed on this occasion were the use of open data to solve common problems of today's society in the field of tourism and how an intelligent use of these data can offer competitive advantages to administrations. To this end, a comparison was made of the situation in the province of Castellón, in the Canary Islands, in the city of Madrid and in the Community of Navarre.

This second round table discussion also focused on the main reasons why Spain is year after year one of the favourite destinations for tourists, concluding that up to 80% of visitors are attracted by the sun and beach product offered by our country.

Impact of open data

This was followed at around 13:30 by a brief presentation on a series of methodologies for measuring the impact of open data, given by Roberto Magro, coordinator of the Open Data Working Group of the FEMP Network and Deputy Director General for Youth, Children and Adolescents of Alcobendas City Council. Right after, Alberto Abella, Data Modelling Expert at Fiware presented the 4th report on open data in Spain. This round table was chaired by Ana Coroján, Head of Projects and Research at the NovaGob Foundation.

Roberto began by telling us how even today there are many public administrations that do not believe in data and, as such, either share bad data or do not share it at all. In this sense, he encouraged all attendees to make an effort to raise awareness among other public bodies about the importance of sharing reliable, truthful and quality data. It also called on re-users to make use of these data and make them available to citizens through data products such as visualisations and/or mobile applications.

Alberto presented the conclusions of the Cotec Foundation report on the reuse of open data in Spain. The main key points he highlighted in his presentation were that the number of open data portals had remained stable compared to the previous year, increasing the number of datasets available on them, but at the same time reducing the quality of their metadata, as well as the dissemination of this data to the public. Finally, he regretted that there are still 6% of the datasets that are either outdated or not available at all, which in his view is too high a percentage and should be minimised for the following year.

Table 3: Public management: Data-driven public policies to improve tourism activity

The third and last panel of the event took place after lunch, around 15:45 and was moderated by Vicent Rubio, Open Government Technician of the Castellón Provincial Council. This round table dealt with data-driven public policies to improve tourism activity, and consisted of the following speakers:

• María Tormo Casañ, Deputy for Participation and Transparency of the Castellón Provincial Council.

• Montse Giró Torrens, Head of LabTurisme, Diputació de Barcelona.

• Joseba Asiain Albisu, Director General of the Presidency, Open Government and Relations with the Parliament of the Government of Navarre.

This roundtable addressed the main challenges faced by public administrations in opening up data, as well as the key solutions and strategies they have implemented to achieve this, and the benefits these solutions have brought them, especially in the field of tourism.

Among other things, the importance of street surveys was highlighted as a fundamental tool for gaining first-hand knowledge of citizens' impressions, as well as their nationality, motivations and purchasing power, in order to be able to adapt the services offered to their needs.

Conclusions and closing of the event

Finally, the last block of the event was led by Marc Garriga, CEO of DesideDatum and rapporteur of the meeting, in which the main conclusions drawn throughout the session were presented, to finally introduce the next 3 organisers of the next triennium of meetings, which will be, in this order, the Government of the Canary Islands, which will organise the 2025 Meeting, the Government of Navarra, and finally the City Council of Madrid, which will be responsible for hosting the third and final meeting of this second phase.

Finally, as for the challenge for this year, it is still to be defined and the plan is to make it public in the coming weeks, and then include it on the website.

The Spanish Hub of Gaia-X (Gaia-X Hub Spain), a non-profit association whose aim is to accelerate Europe's capacity in data sharing and digital sovereignty, seeks to create a community around data for different sectors of the economy, thus promoting an environment conducive to the creation of sectoral data spaces. Framed within the Spain Digital 2026 strategy and with the Recovery, Transformation and Resilience Plan as a roadmap for Spain's digital transformation, the objective of the hub is to promote the development of innovative solutions based on data and artificial intelligence, while contributing to boosting the competitiveness of our country's companies.

The hub is organized into different working groups, with a specific one dedicated to analyzing the challenges and opportunities of data sharing and exploitation spaces in the tourism sector. Tourism is one of the key productive sectors in the Spanish economy, reaching a volume of 12.2% of the national GDP.

Tourism, given its ecosystem of public and private participants of different sizes and levels of technological maturity, constitutes an optimal environment to contrast the benefits of these federated data ecosystems. Thanks to them, the extraction of value from non-traditional data sources is facilitated, with high scalability, and ensuring robust conditions of security, privacy, and thus data sovereignty.

Thus, with the aim of producing the first X-ray of this dataspace in Spain, the Data Office, in collaboration with the Spanish Hub of Gaia-X, has developed the report 'X-ray of the Tourism Dataspace in Spain', a document that seeks to summarize and highlight the current status of the design of this dataspace, the different opportunities for the sector, and the main challenges that must be overcome to achieve its deployment, offering a roadmap for its construction and deployment.

Why is a tourism data space necessary?

If something became clear after the outbreak of the COVID-19 pandemic, it is that tourism is an interdependent activity with other industries, so when it was paused, sectors such as mobility, logistics, health, agriculture, automotive, or food, among others, were also affected.

Situations like the one mentioned above highlight the possibilities offered by data sharing between sectors, as they can help improve decision-making. However, achieving this in the tourism sector is not an easy task since deploying a data space for this sector requires coordinated efforts among the different parts of society involved.

Thus, the objective and challenge is to create intelligent "spaces" capable of providing a context of security and trust that promotes the exchange and combination of data. In this way, and based on the added value generated by data, it would be possible to solve some of the existing problems in the sector and create new strategies focused on better understanding the tourist and, therefore, improving their travel experience.

The creation of these data sharing and exploitation spaces will bring significant benefits to the sector, as it will facilitate the creation of more personalized offers, products, and services that provide an enhanced and tailored experience to meet the needs of customers, thus improving the capacity to attract tourists. In addition, it will promote a better understanding of the sector and informed decision-making by both public and private organizations, which can more easily detect new business opportunities.

Challenges of security and data governance to take advantage of digital tourism market opportunities

One of the main obstacles to developing a sectoral data space is the lack of trust in data sharing, the absence of shared data models, or the insufficient interoperability standards for efficient data exchange between different existing platforms and actors in the value chain.

Moving to more specific challenges, the tourism sector also faces the need to combine B2B data spaces (sharing between private companies and organizations) with C2B and G2B spaces (sharing between users and companies, and between the public sector and companies, respectively). If we add to this the ideal need to land the tourism sector's datasets at the national, regional, and local levels, the challenge becomes even greater.

To design a sector data space, it is also important to take into account the differences in data quality among the aforementioned actors. Due to the lack of specific standards, there are differences in the level of granularity and quality of data, semantics, as well as disparity in formats and licenses, resulting in a disconnected data landscape.

Furthermore, it is essential to understand the demands of the different actors in the industry, which can only be achieved by listening and taking notes on the needs present at the different levels of the industry. Therefore, it is important to remember that tourism is a social activity whose focus should not be solely on the destination. The success of a tourism data space will also rely on the ability to better understand the customer and, consequently, offer services tailored to their demands to improve their experience and incentivize them to continue traveling.

Thus, as stated in the report prepared by the Data Office, in collaboration with the Spanish hub of Gaia-X, it is interesting to redirect the focus and shift it from the destination to the tourist, in line with the discovery and generation of use cases by SEGITTUR. While it is true that focusing on the destination has helped develop digital platforms that have driven competitiveness, efficiency, and tourism strategy, a strategy that pays the same attention to the tourist would allow for expanding and improving the available data catalogs.

Measuring the factors that condition tourists' experience during their visit to our country allows for optimizing their satisfaction throughout the entire travel circuit, while also contributing to creating increasingly personalized marketing campaigns, based on the analysis of the interests of different market segments.

Current status of the construction of the Spanish Tourism data space and next steps

The lack of maturity of the market in the creation of data spaces as a solution makes an experimental approach necessary, both for the consolidation of the technological components and for the validation of the different facets (soft infrastructure) present in the data spaces.

Currently, the Tourism Working Group of the Spanish Gaia-X Hub is working on the definition of the key elements of the tourism data space, based on use cases aligned with the sector's challenges. The objective is to answer some key questions, using existing knowledge in the field of data spaces:

• What are the key characteristics of the tourism environment and what business problems can be addressed?
• What data-oriented models can be worked on in different use cases?
• What requirements exist and what governance model is necessary? What types of participants should be considered?
• What business, legal, operational, functional, and technological components are necessary?
• What reference technology architecture can be used?
• What development, integration, testing, and technology deployment processes can be employed?

In recent times, open data has become an element of great value when it comes to improving the quality of life and offering greater benefits to citizens in different sectors. One of them is tourism, and it is that the number of public administrations that are opening their data in this field is increasing.

One of the main reasons is found in the great economic benefit that this sector brings to a country like Spain, which welcomes millions of tourists every year. Therefore, it is not surprising that municipalities and administrations show increasing interest in disseminating the services they offer in order to attract as many visitors as possible.

The data related to the tourism sector is highly dynamic and for this reason there are many organizations that are committed to offering it through APIs, which facilitate access in a much more efficient way.

The opening of data in the tourism sector it is a practice that encourages the creation of services and technologies capable of offering solutions to current problems from the reuse of open data. This is the case of some applications such as Casual Learn, which uses information from the Open Data Portal of Castilla y León for its users to learn art history while touring the community's monuments. Or also from Maps of Spain, a free viewer IGN aimed at citizens who want to carry out activities in nature, which they can access from their mobile phone without the need to connect to the internet.

If you are interested in accessing this type of data, then we have collected 10 examples of repositories related to tourism at an international level, divided into three categories: tourism, leisure and culture, and meteorology.

Tourism

DATA Tourisme

• Publisher: Government of Singapore

The Tourism Information and Service Center (TIH) is a digital resource platform that enables businesses and developers to access relevant information on Singapore's tourism offerings and travel software services.

Undoubtedly, the highlight of this portal is that it has an API to facilitate access to its data offer. Data APIs allow developers to access datasets related to Singapore tourism through an API key.

Accommodation, attractions, excursions, shopping centers and stores or number of visitors are just some examples of the type of data that can be found on this portal.

Tourism Information & Service Hub (TIH)

• Publicador: Gobierno de Singapur

El Centro de información y servicios turísticos (TIH) es una plataforma de recursos digitales que permite a empresas y desarrolladores acceder a información relevante sobre las ofertas turísticas y los servicios de software de viajes de Singapur.

Sin duda, lo más destacado de este portal es que cuenta con una API para facilitar el acceso a su oferta de datos. Las API de datos permiten a los desarrolladores acceder a conjuntos de datos relacionados con el turismo de Singapur a través de una clave API.

Alojamiento, atracciones, excursiones, centros comerciales y tiendas o número de visitantes son solo algunos ejemplos del tipo de datos que se pueden encontrar en este portal.

My Switzerland

• Publisher: Government of Switzerland

This platform offers data sets related to tourism in Switzerland that are provided through an API. It is a public API that presents tourist information translated into 16 languages ​​and its main source of content is the portal from My Switzerland.

Currently this API provides data about tourist destinations, attractions and offers of interest, although this list will be expanded in the near future with more types of data depending on the needs of partners and reusers.

Places API

• Publisher: Google

This API developed by Google allows you to search for information on more than 200 million places through a wide variety of categories, including establishments, prominent points of interest or geographical locations.

Through this API, developers can access a wide variety of Google data to provide their users with a real-time location-based experience by displaying place names and information rather than a set of coordinates.

Leisure and culture

UK Natural History Museum

• Publisher: UK Natural History Museum

Through this portal it is possible to consult and download data about the museum's research and collections. It currently has an approximate number of 200 data sets on various topics such as entomology, zoology, botany, or paleontology, among others.

All datasets are available through a API to facilitate downloading for users who wish to use the data in their own software or applications.

European Group on Museum Statistics (EGMUS)

• Publisher: European Groupon Museum Statistics (EGMUS)

The European Group for Museum Statistics (EGMUS) is an organization founded in 2002 in which 30 European countries are represented. The main objective of EGMUS is the collection and publication of statistical data relating to the participating European museums.

Information available from national museum statistics and surveys is collected, updated and stored in the Abridged List of Museum Key Indicators (ALOKMI) table. ALOKMI is the first step towards the harmonization of museum statistics in Europe.

The data tables offered by EGMUS are available for download in CSV format.

IMAGES D’ART

• Publisher: Réunion des musées nationaux - Grand Palais

Images d'Art (Art Images) is a platform that offers an extensive database of hundreds of thousands of works by approximately 30,000 artists. This image database contains works from French museums that have been digitized and documented by the photography agency NMR-GP.

In this portal we can filter the information around some parameters such as museums, historical periods, authors, technique, keywords or advanced search.

Europeana

• Publisher: Europeana

Europeana is a portal that provides cultural heritage enthusiasts, practitioners, teachers and researchers with digital access to European cultural heritage material. This platform has information on more than 3,700 different institutions. A network of aggregator partners collects the data, thoroughly checks it, and enriches it with information such as geographic location or links it to other materials or data sets through associated people, places, or topics.

Europeana offers data on works of art, books, music and videos, newspapers, archaeology, fashion, science or sports, among many others. To facilitate access to this information, this portal has different APIs.

World Digital Library

• Publisher: World Digital Library (WDL)

The World Digital Library was a project created in 2009 by the United States Library of Congress, with the support of UNESCO and contributions from libraries, archives, museums, educational institutions, and international organizations around the world.

The WDL contains extremely interesting materials that are essential for understanding cultures around the world. The data it offers is available free of charge and in a wide variety of languages. In addition, it offers a menu that allows you to filter the data by format, date, location, theme or language, among others.

Meteorology

Open Meteo

• Publisher: Open Meteo

Open-Meteo offers a weather data API for free global weather forecasting. This API is especially aimed at open source developers and non-commercial use, to access it no password is required and its information is updated every 3 hours.

Data related to temperature, wind, pressure, humidity or precipitation are just some of the meteorological variables that users have available through this API.

This has been just a small selection of data repositories related to the tourism sector that could be of interest to you. Do you know any more relevant related to this field? Leave us a comment or send us an email at dinamizacion@datos.gob.es

As our lives become more and more digitized, activities as face-to-face as “tourism” are also being pushed towards a transformation as profound as that of other sectors and activities. In this digitization process, both the data and the technologies associated with artificial intelligence are essential and this was highlighted, for example, by the 2020 European Tourism Convention.

The importance of tourism for the Spanish economy is enormous (12.4% of GDP and 12.7% of employment in 2019). The number of visitors we receive in our country, even despite the break caused by the pandemic, is still among the highest in the world. Therefore, in all the strategies and plans that are developed in our country, the weight of the tourism industry is reflected. For example, with the deployment of the Spanish Hub of Gaia-X, whose objective is to make it easier for sectorial industries of all sizes to create community and promote innovation based on data and Artificial Intelligence, Spain aspires to become the first country to lead a data space in the tourism industry. Bearing in mind that the hubs must facilitate and support the creation of European data spaces and are representatives of the regional economy, significant efforts will be made in Spain to develop data spaces that are relevant or specific to the Spanish economy, as is the case of the tourism industry.

As visitors or tourists we all have the expectation of enjoying an increasingly personalized experience, not only during the pre-planning process, but also during the time we are traveling or carrying out the activity. In this sense, open data plays a central role, both to help us select activities or attractions and to obtain relevant recommendations in real time that help us enjoy the experience more. For this reason, a multitude of cities and regions have been betting on publishing data sets and, in some cases, applications specifically aimed at visitors. Serve as an example the almost 3,000 data sets that can be found in the tourism category of the datos.gob.es portal, and which come both from the state administration and from different local and regional administrations.

Construction of aggregate datasets

However, as in other sectors of activity, to develop more sophisticated use cases related to tourism, taking advantage of the advanced use of data and artificial intelligence, data sets that transcend local spheres are necessary. Open data on tourism, as it happens in other domains, is distributed through different websites and in different formats or data structures. In this sense, there are some examples of transnational projects such as Tourpedia what prentend to build and maintain open data sets of high potential value for the development of new use cases and that are now only within the reach of large tour operators.

The case of Tourpedia, although it has not reached its full potential, is frequently cited and has been the subject of some scientific articles such as “Open data for tourism: the case of Tourpedia”, where the high impact of creating useful aggregate data sets for tourism is highlighted.

DataTourisme currently covers 96 French departments in 14 regions different that have published as open data more than 385,000 points of interest and events. For the aggregation and publication of data, the portal is committed to using linked data and proposes the DataTourism ontology.

In Spain we have Dataestur, a Segittur initiative that contains a selection of the most relevant data on tourism in Spain. The data added in Dataestur come from sources as diverse as INE, Renfe or Segittur itself and are grouped into five categories for download, consultation and study. It also highlights the fact of publishing an API for developers and reusers with a set of methods that allow automating the download of a large part of the portal's data.

Recommender systems

At present, there are not too many aggregate data sets on tourism and much less those published as linked open data, but there is abundant scientific literature that supports this line of action. In this sense, a meta-analysis of 126 scientific articles, selected for their impact, concludes that the use of linked open data to address location-based recommendation and react in real time to the needs of tourists is widespread in the field of tourism.

One of these scientific articles, a 2020 investigation demonstrates that combining a user's location with open data on TripAdvisor ratings, destination closing time, or traffic can greatly increase the quality and accuracy of recommendations. In total, we find six types of jobs, classified according to the use case they focus on:

• Independent Point Location Recommendations. Recommend to the user a point of interest around the current location based on their own preferences.
• Travel route recommendations. Provide the user with the recommended route and travel itinerary.
• Recommendations based on GPS track. They provide recommendations based on past behavior and travel patterns recorded in the form of GPS tracks.
• Recommendations based on geotagged media data. They generate recommendations based on the extraction of multimedia data from texts or photos to discover places, context information and user profiles.
• Recommendations based on ontologies. They collect datasets and create tourism ontologies for the different recommended purposes, such as a list of points of interest, popularity of locations, travel itinerary and route planning.
• Location-based friend recommendations. They aim to use the user's social connections to recommend places based on the preferences of friends.

It seems that we are beginning to see what could be a second great wave of innovation when it comes to the use of data in the tourism industry. Thanks to the generation of aggregate data sets, the use of linked data and the application of artificial intelligence and machine learning techniques, increasingly sophisticated use cases are being generated for the benefit of the tourist experience and the promotion and discovery of destinations Undoubtedly, the new initiatives that have arisen through the national digitization plans and the support of European funds will accelerate the adoption of many innovations that at the moment we see only in the scientific literature.

Content prepared by Jose Luis Marín, Senior Consultant in Data, Strategy, Innovation & Digitalization.

The contents and points of view reflected in this publication are the sole responsibility of its author.