9 posts found
Neurotechnology and neurodata: what is its potential?
Imagine a machine that can tell if you're happy, worried, or about to make a decision, even before you know clearly. Although it sounds like science fiction, that future is already starting to take shape. Thanks to advances in neuroscience and technology, today we can record, analyze, and even predi…
PET technologies: how to use protected data in a privacy-sensitive way
As organisations seek to harness the potential of data to make decisions, innovate and improve their services, a fundamental challenge arises: how can data collection and use be balanced with respect for privacy? PET technologies attempt to address this challenge. In this post, we will explore what…
How to measure carbon footprint using open data
The carbon footprint is a key indicator for understanding the environmental impact of our actions. It measures the amount of greenhouse gas emissions released into the atmosphere as a result of human activities, most notably the burning of fossil fuels such as oil, natural gas and coal. These gases,…
Accelerating the energy transition with open data
Aspects as relevant to our society as environmental sustainability, climate change mitigation or energy security have led to the energy transition taking on a very important role in the daily lives of nations, private and public organisations, and even in our daily lives as citizens of the world. Th…
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…
MAMD Methodology: The Alarcos Model of Data Improvement
There is such a close relationship between data management, data quality management and data governance that the terms are often used interchangeably or confused. However, there are important nuances.
The overall objective of data management is to ensure that data meets the business requirements tha…
Common misunderstandings in data anonymisation
Data anonymisation is a complex process and often prone to misunderstandings. In the worst case, these misconceptions lead to data leakage, directly affecting the guarantees that should be offered to users regarding their privacy.
Anonymisation aims at rendering data anonymous, avoiding the re-ident…
The benefits of open data in the agriculture and forestry sector: the case of Fruktia and Arbaria
As in other industries, digital transformation is helping to change the way the agriculture and forestry sector operates. Combining technologies such as geolocation or artificial intelligence and using open datasets to develop new precision tools is transforming agriculture into an increasingly tech…
The importance of anonymization and data privacy
We are in a historical moment, where data has become a key asset for almost any process in our daily lives. There are more and more ways to collect data and more capacity to process and share it, where new technologies such as IoT, Blockchain, Artificial Intelligence, Big Data and Linked Data play a…
