The importance of data training for public sector workers
Fecha de la noticia: 19-02-2025

There is no doubt that digital skills training is necessary today. Basic digital skills are essential to be able to interact in a society where technology already plays a cross-cutting role. In particular, it is important to know the basics of the technology for working with data.
In this context, public sector workers must also keep themselves constantly updated. Training in this area is key to optimising processes, ensuring information security and strengthening trust in institutions.
In this post, we identify digital skills related to open data aimed at both publishing and using open data. Not only did we identify the professional competencies that public employees working with open data must have and maintain, we also compiled a series of training resources that are available to them.
Professional competencies for working with data
A working group was set up in 2024 National Open Data Gathering with one objective: to identify the digital competencies required of public administration professionals working with open data. Beyond conclusions of this event of national relevance, the working group defined profiles and roles needed for data opening, gathering information on their roles and the skills and knowledge required. The main roles identified were:
- Role responsible: has technical responsibility for the promotion of open data policies and organises activities to define policies and data models. Some of the skills required are:
- Leadership in promoting strategies to drive data openness.
- Driving the data strategy to drive openness with purpose.
- Understand the regulatory framework related to data in order to act within the law throughout the data lifecycle.
- Encourage the use of tools and processes for data management.
- Ability to generate synergies in order to reach a consensus on cross-cutting instructions for the entire organisation.
- Technical role of data entry technician (ICT profile): carries out implementation activities more closely linked to the management of systems, extraction processes, data cleansing, etc. EThis profile must have knowledge of, for example:
- How to structure the dataset, the metadata vocabulary, data quality, strategy to follow...
- Be able to analyse a dataset and identify debugging and cleaning processes quickly and intuitively.
- Generate data visualisations, connecting databases of different formats and origins to obtain dynamic and interactive graphs, indicators and maps.
- Master the functionalities of the platform, i.e. know how to apply technological solutions for open data management or know techniques and strategies to access, extract and integrate data from different platforms.
- Open data functional role (technician of a service): executes activities more related to the selection of data to be published, quality, promotion of open data, visualisation, data analytics, etc. For example:
- Handling visualisation and dynamisation tools.
- Knowing the data economy and knowing the information related to data in its full extent (generation by public administrations, open data, infomediaries, reuse of public information, Big Data, Data Driven, roles involved, etc.).
- To know and apply the ethical and personal data protection aspects that apply to the opening of data.
- Data use by public workers: this profile carries out activities on the use of data for decision making, basic data analytics, among others. In order to do so, it must have these competences:
- Navigation, search and filtering of data.
- Data assessment.
- Data storage and export
- Data analysis and exploitation.
In addition, as part of this challenge to increase capacities for open data, a list of free trainings and guides on open data and data analyticswas developed. We compile some of them that are available online and in open format.
Institution |
Resources |
Link |
Level |
Knight Center for Journalism in the Americas |
Data journalism and visualisation with free tools |
Beginner |
|
Data Europa Academy |
Introduction to open data |
Beginner |
|
Data Europa Academy |
Understanding the legal side of open data |
https://data.europa.eu/en/academy/understanding-legal-side-open-data |
Beginner |
Data Europa Academy |
Improve the quality of open data and metadata |
https://data.europa.eu/en/academy/improving-open-data-and-metadata-quality |
Advanced |
Data Europa Academy |
Measuring success in open data initiatives |
https://data.europa.eu/en/training/elearning/measuring-success-open-data-initiatives |
Advanced |
Escuela de Datos |
Data Pipeline Course |
https://escueladedatos.online/curso/curso-tuberia-de-datos-data-pipeline/ |
Intermediate |
FEMP |
Strategic guidance for its implementation - Minimum data sets to be published |
Intermediate |
|
Datos.gob.es |
Methodological guidelines for data opening |
https://datos.gob.es/es/documentacion/pautas-metodologicas-para-la-apertura-de-datos |
Beginner |
Datos.gob.es |
Practical guide to publishing open data using APIs |
|
Intermediate |
Datos.gob.es |
Practical guide to publishing spatial data |
https://datos.gob.es/es/documentacion/guia-practica-para-la-publicacion-de-datos-espaciales |
Intermediate |
Junta de Andalucía |
Processing datasets with Open Refine |
https://www.juntadeandalucia.es/datosabiertos/portal/tutoriales/usar-openrefine.html |
Beginner |
Figure 1. Table of own elaboration with training resources. Source: https://encuentrosdatosabiertos.es/wp-content/uploads/2024/05/Reto-2.pdf
INAP's continuing professional development training offer
The Instituto Nacional de Administración Pública (INAP) has a Training Activities Programme for 2025, framed in the INAP Learning Strategy 2025-2028.. This training catalogue includes more than 180 activities organised in different learning programmes, which will take place throughout the year with the aim of strengthening the competences of public staff in key areas such as open data management and the use of related technologies.
INAP's 2025 training programme offers a wide range of courses aimed at improving digital skills and open data literacy. Some of the highlighted trainings include:
- Fundamentals and tools of data analysis.
- Introduction to Oracle SQL.
- Open data and re-use of information.
- Data analysis and visualisation with Power BI.
- Blockchain: technical aspects.
- Advanced Python programming.
These courses, aimed at different profiles of public employees, from open data managers to information management technicians, allow to acquire knowledge on data extraction, processing and visualisation, as well as on strategies for the opening and reuse of open data in the Public Administration. You can consult the full catalogue here..
Other training references
Some public administrations or entities offer training courses related to open data. For more information on its training offer, please see the catalogue with the programmed courses on offer.
- FEMP's Network of Local Entities for Transparency and Citizen Participation: https://redtransparenciayparticipacion.es/.
- Government of Aragon: Aragon Open Data: https://opendata.aragon.es/informacion/eventos-de-datos-abiertos
- School of Public Administration of Catalonia (EAPC): https://eapc.gencat.cat/ca/inici/index.html#googtrans(ca|es
- Diputació de Barcelona: http://aplicacions.diba.cat/gestforma/public/cercador_baf_ens_locals
- Instituto Geográfico Nacional (IGN): https://cursos.cnig.es/
In short, training in digital skills, in general, and in open data, in particular, is a practice that we recommend at datos.gob.es. Do you need a specific training resource? Write to us in comments, we'll read you!