Data Act
Table of Contents
Chapter I – GENERAL PROVISIONS
Chapter II – BUSINESS TO CONSUMER AND BUSINESS TO BUSINESS DATA SHARING
Chapter III – OBLIGATIONS FOR DATA HOLDERS OBLIGED TO MAKE DATA AVAILABLE PURSUANT TO UNION LAW
Chapter IV – UNFAIR CONTRACTUAL TERMS RELATED TO DATA ACCESS AND USE BETWEEN ENTERPRISES
Chapter V – MAKING DATA AVAILABLE TO PUBLIC SECTOR BODIES, THE COMMISSION, THE EUROPEAN CENTRAL BANK AND UNION BODIES ON THE BASIS OF AN EXCEPTIONAL NEED
Chapter VI – SWITCHING BETWEEN DATA PROCESSING SERVICES
Chapter VII – UNLAWFUL INTERNATIONAL GOVERNMENTAL ACCESS AND TRANSFER OF NON-PERSONAL DATA
Chapter VIII – INTEROPERABILITY
Chapter IX – IMPLEMENTATION AND ENFORCEMENT
Chapter X – SUI GENERIS RIGHT UNDER DIRECTIVE 96/9/EC
Chapter XI – FINAL PROVISIONS
Recitals (119)
Recital 81
(81) The generic concept ‘data processing services’ covers a substantial number of services with a very broad range of different purposes, functionalities and technical set-ups. As commonly understood by providers and users and in line with broadly used standards, data processing services fall into one or more of the following three data processing service delivery models, namely Infrastructure as a Service (IaaS), Platform as a service (PaaS) and Software as a Service (SaaS). Those service delivery models represent a specific, pre-packaged combination of ICT resources offered by a provider of data processing service. Those three fundamental data processing delivery models are further complemented by emerging variations, each comprised of a distinct combination of ICT resources, such as Storage as a Service and Database as a Service. Data processing services can be categorised in a more granular way and divided into a non-exhaustive list of sets of data processing services that share the same primary objective and main functionalities as well as the same type of data processing models, that are not related to the service’s operational characteristics (same service type). Services falling under the same service type may share the same data processing service model, however, two databases might appear to share the same primary objective, but after considering their data processing model, distribution model and the use cases that they are targeted at, such databases could fall into a more granular subcategory of similar services. Services of the same service type may have different and competing characteristics such as performance, security, resilience, and quality of service.