Open Data: IT and Telecom Positions in the Open Data Value Chain
- ID: 2193020
- June 2012
Open data and its applications are a basic Internet movement based on Web 2.0 sharing and collaboration, in particular open innovation. This study provides an understanding of Open Data strategies in the public and private sectors.. It also presents strategies followed by the various IT and telecom players involved in the Open Data value chain.
- What are the Open Data key principles?
- What are the types of projects in the public sector?
- Who are the IT players involved in open data? What roles do they play?
- What are the business models for these projects, between direct and indirect revenue?
- What are the Open Data issues in the future?
- Open Data at the edge of Big Data?
1. Executive Summary
3. Key Principles of Open Data
3.1. Open Data definitions
3.1.2 Players in the world of Open Data
3.2. Key technologies
3.2.1 Data formats
3.2.2 Software tools: API - Mash up
3.2.3 Crowdsourcing and Open Data
3.3. Impact of regulation on Open Data
- Creative Commons license for works of art
- Public Domain Dedication and License
- Example of free software licenses
- Open dataBase License (OdBL)
- Open License (OL)
3.3.2 European legal framework
- Data covered
- National applications
3.3.3 Issues with data use
4. Open Data and the public sector
4.1. Regional development strategies
4.1.1 A worldwide dynamic
4.1.2 Segmentation of open data applications in the public sector
4.2. Country strategies
- United States - France
- United Kingdom - European Union
4.3. Regional public sector strategies
4.3.1 Review of French regional initiatives
4.3.2 Major philosophies of public sector
Open Data projects worldwide
5. Open Data in the private sector
5.1. Acceptance of Open Data by the private sector
5.2. Industrial organization of the IT players involved in Open Data
5.3. Position of "Open Pure Players"
5.3.1 Developers and associations
5.3.2 Market places
5.3.3 Open Data platform integrators
5.4. The role of telecom operators in Open Data
5.5. Software and Web giants
5.5.1 Examples of participants in the world of Open Data
5.5.2 Examples of players offering their Cloud platforms and equipment
6. The future of Open Data
6.1. Business model to be defined
6.1.1 Public sector Open Data business models
- Direct revenue: free model is not based on profit motive
- Direct revenue: paid model from the traditional data world is still rare.
- Indirect revenue: a model still difficult to quantify but source of opportunities for economic development
- Costs: room for improvement by the public sector
6.1.2 Private sector value creation
- Direct revenue
6.1.3 Economic benefits still unclear
6.2. Dawn of Open Data 2.0?
6.3. Open Data at the edge of Big Data?