Requirements and good practices (ISA2 action 2016.03 – Big Data for Public Administrations)

Big Data Test Infrastructure

The ISA2 Action 2016.03 – "Big Data for Public Administrations" aims to address the use of Big Data within PAs to support better decision-making. The study "Big Data Test Infrastructure", launched at the beginning of January 2017 under the above-mentioned activities, aims at filling the gap within PAs in the Big Data field, providing the design of a centralised European Big Data Test Infrastructure to be used by any PA and EUI in Europe.

This project has been carried out by KPMG for DIGIT D.1 "Data Services" Unit

The objective of this document (outcome of TASK 1 of the overall study) is to describe the identified business and technical requirements and good practices for setting-up a Big Data Test Infrastructure to be used by EU Institutions and EU Public Administrations to launch pilot projects on Big Data.

The identified set of business and technical requirements guided the identification of key features and main functionalities of the future Big Data Test Infrastructure, and the identified good practices provided useful recommendations and guidelines for the design phase of the infrastructure, resulting from the analysis of relevant European initiatives addressing the use of Big Data Infrastructures.

A further objective of this document is to describe the identified and prioritised Big Data use cases to be supported by the future Big Data Test Infrastructure.

The main objectives of this document can therefore be summarised as follows:

Identification of Big Data use cases to be supported by the future Big Data Test Infrastructure, through the analysis of Member States’ needs and of relevant Big Data pilot projects in Europe

Identification of a set of business and technical requirements that will guide the design of the future Big Data Test Infrastructure
Identification of good practices coming from Big Data infrastructures set up by public administrations at national level, in order to provide useful guidelines and recommendations for the design of the future Big Data Test Infrastructure

 

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