Publication

In-depth assessment of potential new data integration into the MIP

2020
Reports

Abstract

In the scope of the Human Brain Project (SGA2), this document summarizes from the technical perspective the main challenges faced by the current Medical Informatics Platform for the integration of three new types of data: complex neuroimaging, omics, and data from wearable devices. Details are discussed up to the implementation level, considering risks, costs, and possible ethical and data privacy issues. The specific recommendations for the future development of the MIP are collected in the accompanying document “Recommendations for the MIP technical development during SGA3”, with component ID C2976.

Official source

https://infoscience.epfl.ch/entities/publication/aa149ffc-5e71-4a61-9177-7cebfafcc3b8

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2020
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/aa149ffc-5e71-4a61-9177-7cebfafcc3b8

About this result

Related concepts (32)

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Data integration

Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes.

Data warehouse

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence. Data warehouses are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. This is beneficial for companies as it enables them to interrogate and draw insights from their data and make decisions.

Related publications (3)

In-depth assessment of potential new data integration into the MIP

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