Publication

Introduction to the Swiss Data Custodian

Olivier Verscheure
2019
Working Papers

Abstract

Trust in the use of sensitive data is not nearly widespread. Even though there is no shortage in tools and methods to address the digitisation of our society and industries, the acquisition and access to non-open data represent the greatest challenge. In the context of data monopolies, data regulation and general reluctance to share data, a paradigm shift is needed to regain control and sovereignty over our data. Sensitive – or restricted – data encompasses all the personal data that any Swiss resident shares in exchange for services. It also includes the process data generated by industries, health data, or data from the humanitarian sector. To unlock the data economy while reinforcing privacy and control, a new framework is needed to empower data users, to create a trusted standard in data management, to mitigate the regulations burden, and to help Switzerland maximise the benefits brought by the new digital age we live in.

Official source

https://infoscience.epfl.ch/entities/publication/04ad2807-8279-4119-9596-50ec993f5e06

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Olivier Verscheure
2019
Working Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/04ad2807-8279-4119-9596-50ec993f5e06

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 management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.

Data science

Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.

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