Data on the Web Best Practices: Challenges and Benefits at OGP
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This document discusses data on the web best practices from the W3C Data on the Web Best Practices Working Group. It outlines challenges around publishing open data on the web, including metadata, licensing, formats and vocabularies. The working group aims to develop open data practices that improve communication, consistency and trust to promote data reuse and innovation. Following best practices provides benefits like improved data comprehension, processability, discoverability and reuse.
Data on the Web Best Practices: Challenges and Benefits at OGP
- 1. Data on the Web Best Practices: Challenges and Benefits By Caroline Burle
- 2. ▪ Data on the Web Context – Data on the Web x Open Data x Linked Data ▪ Data on the Web use cases – Data on the Web Challenges and Requirements ▪ Data on the Web Best Practices – Data on the Web Best Practices Benefits Topics to be discussed
- 3. ▪ Open by Default ▪ Timely and Comprehensive ▪ Accessible and Usable ▪ Comparable and Interoperable ▪ For Improved Governance and Citizen Engagement ▪ For Inclusive Development and Innovation Open Data must be on the Web Open Data Charter principles
- 4. A common understanding between data publishers and data consumers becomes fundamental. Without this agreement, data publishers' efforts may be incompatible with data consumers' desires. How to enable the data reuse? Consumes data Publishes data
- 5. The Mission of the Data on the Web Best Practices Working Group, part of the Data Activity, is: 1. to develop the open data ecosystem, facilitating better communication between developers and publishers; 2. to provide guidance to publishers that will improve consistency in the way data is managed, thus promoting the re-use of data; 3. to foster trust in the data among developers, whatever technology they choose to use, increasing the potential for genuine innovation. Source: https://www.w3.org/2013/dwbp/wiki/Main_Page Data on the Web Best Practices Working Group of W3C
- 6. Data on the Web Context Source: https://www.w3.org/TR/dwbp/
- 7. Data on the Web x Open Data x Linked Data Source: http://www.slideshare.net/carolineburle/data-on-the-web-best-practices-challenges-and-benefits
- 8. https://www.w3.org/TR/dwbp-ucr/ Data on the Web use cases
- 9. Data on the Web use cases 12 challenges and 42 requirements
- 10. Publishing data on the Web is more than just publishing data!
- 11. ▪ Metadata - for humans & machines ▪ Data Licenses - how to permit & restrict access? ▪ Data Provenance & Quality - how to add trust? ▪ Data Versioning - tracking dataset versions ▪ Data Identification - identifying datasets and distributions ▪ Data Formats - which data formats to use Data on the Web Challenges
- 12. ▪ Data Vocabularies - how to promote interoperability? ▪ Data Access - access options ▪ Data Preservation - how to preserve data on the Web? ▪ Feedback - how to engage users? ▪ Data Enrichment - adding value to data ▪ Data Republication - reuse data responsibly Data on the Web Challenges
- 13. https://www.w3.org/TR/dwbp/ Data on the Web Best Practices
- 15. Each benefit represents an improvement in the way how datasets are available on the Web DWBP Benefits
- 16. BP Benefits Comprehension: humans will have a better understanding about the data structure, the data meaning, the metadata and the nature of the dataset. Processability: machines will be able to automatically process and manipulate the data within a dataset. Discoverability: machines will be able to automatically discover a dataset or data within a dataset. Reuse: the chances of dataset reuse by different groups of data consumers will increase. Best Practice and Benefits
- 17. cburle@nic.br @carolburle http://ceweb.br/ Paris, December 9th 2016 Merci! This presenta,on was first presented at the OD Research and can be seen at h6p://www.slideshare.net/carolineburle/data-‐on-‐the-‐web-‐best-‐prac,ces-‐challenges-‐and-‐benefits