10 posts found
DCAT-AP-ES: A step forward in open data interoperability
Context and need for an update
Data is a key resource in the digital transformation of public administrations. Ensuring its access, interoperability and reuse is fundamental to improve transparency, foster innovation and enable the development of efficient public services centered on citizens.
In th…
HealthDCAT-AP: The Standard That Connects Health Data to People
Data is the engine of innovation, and its transformative potential is reflected in all areas, especially in health. From faster diagnoses to personalized treatments to more effective public policies, the intelligent use of health information has the power to change lives in profound and meaningful w…
10 principles for web development and web API design
Web API design is a fundamental discipline for the development of applications and services, facilitating the fluid exchange of data between different systems. In the context of open data platforms, APIs are particularly important as they allow users to access the information they need automatically…
A common language to enable interoperability between open dataset catalogs
Open data plays a relevant role in technological development for many reasons. For example, it is a fundamental component in informed decision making, in process evaluation or even in driving technological innovation. Provided they are of the highest quality, up-to-date and ethically sound, data can…
Chat GPT-3 API The Gateway to Integrations
We continue with the series of posts about Chat GPT-3. The expectation raised by the conversational system more than justifies the publication of several articles about its features and applications. In this post, we take a closer look at one of the latest news published by openAI related to Chat GP…
When to use each programming language in data science?
Python, R, SQL, JavaScript, C++, HTML... Nowadays we can find a multitude of programming languages that allow us to develop software programmes, applications, web pages, etc. Each one has unique characteristics that differentiate it from the rest and make it more appropriate for certain tasks. But h…
Kaggle and other alternative platforms for learning data science
The profession of the data scientist is booming. According to him 2020 LinkedIn Emerging Jobs Report, the demand for data science specialists grew 46.8% compared to the previous year, being especially demanded in sectors such as banking, telecommunications or research. The report also indicates…
DCAT-AP 2.0.1, ¿cómo ha evolucionado la especificación de referencia europea para la descripción de catálogos de datos abiertos?
DCAT-AP es la especificación europea para la descripción de catálogos de datos abiertos. Su referente es el estándar Data Catalog Vocabulary (DCAT) de W3C, creado para facilitar la interoperabilidad entre catálogos de datos publicados en la web. DCAT permite disponer de un vocabulario de propiedade…
Examples of uncommon open data repositories
Beyond public administrations, libraries, museums and cultural foundations data, the interest in open data knows no borders. We invite you to discover it in this post.
Normally, the concept of open data is associated with those repositories managed by public administrations, foundations and cultural…
Play to be the best with data
Publicly competing with your colleagues to solve a complex problem based on data is an irresistible motivation for some people. Almost as tempting as gaining relevance in a field of expertise as exciting and lucrative as data science.
Public competitions to solve complex problems, whose raw material…
