Miracle presentation poscon in Prague
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This document describes a project to implement a common data model for electronic age classification labels across different systems and technical contexts in Europe. The project runs from 2014 to 2016 with a budget of 1.36 million euros that is 50% funded by the European Union. The goals are to develop a basic data model, implement it with several classification bodies, and support applications and dissemination of the work. The data model is designed to be technology neutral, open, and consider existing classification approaches.
Miracle presentation poscon in Prague
- 1. Machine-readable and Interoperable Age Classification Labels in Europe Co-financed by the European Union - ICT Praha, 09-11.09.2014 Policy Support Program -
- 4. Implementation of a common data model for electronic age classifications in different systems and technical Objective contexts. of the pilot
- 5. 0 8 Partners Project running: 02/2014-07/2016 Budget: 1.36 Mio EUR; 50% co-financed by the EU
- 6. 0 9 1 DATA MODEL 2 IMPLEMENTATION 3 APPLICATIONS 4 ITERATION 5 SUPPORT 6 DISSEMINATION Work Packages
- 7. 0 9 1 DATA MODEL 3 basic principles: - Technological neutral - Openness - Consideration of existing approaches of electronical labels and current classification schemes Work Packages
- 8. 0 9 Work Packages 1 DATA MODEL
- 9. 0 9 Work Packages <issuer> 1 DATA MODEL <age-issuer>PEGI</age-issuer> <issuer-url>http://www.pegi.eu/</issuer-url> <country> <country-code>eu</country-code> <country-code>be</country-code> </country> </issuer> <scope> <scope-id class="PEGI-classification">18423</scope-id> <scope-title>Supergame Title</scope-title> </scope> <rating> <age>12</age> <age-icon>http://pegi.eu/label/12.png</age-icon> </rating>
- 10. 0 9 Work Packages <issuer> 1 DATA MODEL <age-issuer>PEGI</age-issuer> <issuer-url>http://www.pegi.eu/</issuer-url> <country> <country-code>eu</country-code> <country-code>be</country-code> </country> </issuer> <scope> <scope-id class="PEGI-classification">18423</scope-id> <scope-title>Supergame Title</scope-title> </scope> <rating> <age>12</age> <age-icon>http://pegi.eu/label/12.png</age-icon> </rating>
- 11. 0 9 Work Packages 2 IMPLEMENTATION BBFC, UK NICAM, NL PEGI, EU FSM, DE NBCI, CZ Data via API Data within label
- 12. 11 Outlook Big chance for: classification bodies, smart TV platforms, connected devices, desktop und mobile OSs and open app markets, OTT services (B2B & B2C, frontend and backend), UGC-platforms (video, social networks), search engine providers and age-de as an existing labeling system.
- 13. 11 Outlook Things that currently happen: There is an initiative financed by the Spanish Government that aims at developing a convergent age classification in Spain. They are currently planning to use the MIRACLE specification for the electronic labels, The German self-regulatory body for TV content (FSF) is currently planning to provide their whole database online - they will either publish the data in MIRACLE format alone or in parallel to other schemes, Several mobile apps in the field of child protection and media education currently plan to make use of MIRACLE data, as this is an easy way to aggregate many content Talks with the RTL Group who consider MIRACLE as a potential standard for their technical backend/internal content distribution to aggregate classification decisions from different countries/schemes,
- 14. 1 2 Project leader Stephan Dreyer Senior Researcher Hans Bredow Institute for Media Research Rothenbaumchaussee 36 D-20148 Hamburg Contact Phone: + 49 40 450217- 33 Email: s.dreyer@hans-bredow- institut.de Web: www.miracle-label.eu Contact
Editor's Notes
- #3: Providers of online content and services face highly fragmented systems of age classification, depending on country, region and type of medium. Some of these systems experiment with electronic age labels, a few others already implemented proprietary ones. Risk: The fragmentation of classification systems leads to the fragmentation of electronic labels. This would be the worst case for parental control software providers, content providers and end users.
- #4: What is needed is a common technical specification for the IT-based exchange of all existing and future classification data. Advntages of technical interoperability of classification information: Exchange and aggregation of fragmented classification knowledge and expertise Opening up of national and international proprietary systems Potential for the emergence of new systems without risks Lowering of provider-side costs for labels (“one structure fits all”) End users and business customers get more meta information