17 posts found
IMPaCT-Data, medical data integration to boost precision medicine
IMPaCT, the Infrastructure for Precision Medicine associated with Science and Technology, is an innovative programme that aims to revolutionise medical care. Coordinated and funded by the Carlos III Health Institute, it aims to boost the effective deployment of personalised precision medicine.…
Health research and data groups: examples at the forefront of the field
In the medical sector, access to information can transform lives. This is one of the main reasons why data sharing and open data communities or open science linked to medical research have become such a valuable resource. Medical research groups that champion the use and reuse of data are leading th…
Open data to drive energy efficiency and sustainability
The promotion of energy efficiency and sustainability is one of the priorities of the European Union and Spain, as reflected in the European Green Pact. The availability of open data related to energy production, distribution and consumption allows governments, businesses and citizens to access…
The importance of Critical Minerals: Where to locate data of interest?
The energy transition is also a transition of raw materials. When we imagine a sustainable future, we conceive it based on a series of strategic sectors such as renewable energies or electric mobility. Similarly, we imagine a connected and digital future, where new innovations and business models re…
Open data for AI: UNESCO recommendations on open data
The UNESCO (United Nations Educational, Scientific and Cultural Organization) is a United Nations agency whose purpose is to contribute to peace and security in the world through education, science, culture and communication. In order to achieve its objective, this organisation usually est…
Hot OSM: Collaborative mapping to coordinate emergency response
The humanitarian crisis following the earthquake in Haiti in 2010 was the starting point for a voluntary initiative to create maps to identify the level of damage and vulnerability by areas, and thus to coordinate emergency teams. Since then, the collaborative mapping project known as Hot OSM (OpenS…
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…
10 Popular natural language processing libraries
The advance of supercomputing and data analytics in fields as diverse as social networks or customer service is encouraging a part of artificial intelligence (AI) to focus on developing algorithms capable of processing and generating natural language.
To be able to carry out this task in the current…
10 Popular Data Analytics and Machine Learning Libraries
Programming libraries refer to the sets of code files that have been created to develop software in a simple way . Thanks to them, developers can avoid code duplication and minimize errors with greater agility and lower cost. There are many bookstores, focused on different activities. A few weeks ag…
11 libraries for creating data visualisations
Programming libraries are sets of code files that are used to develop software. Their purpose is to facilitate programming by providing common functionalities that have already been solved by other programmers.
Libraries are an essential component for developers to be able to program in a simple way…
