STEP 3: DATA COLLECTION, SELECTION, AND PREPARATION

Who owns the data?

Data ownership is a key aspect in the development of AI/ML programs. This section provides resources to reflect on different data ownership models, from open-source to privately-owned data. In deciding ownership models, it is important to consider ethical risks and liabilities, both regarding who owns the data (e.g. local governments) and who is included in the data (e.g. vulnerable populations). Considering data governance in light of local and national regulations is also key, as well as addressing issues of privacy, access, rights and duties.

Please find below a legend of what can be found within the framework:

📚Resources - e.g. reports, articles, and case studies

🛠Tools - e.g. guidelines, frameworks and scorecards

🔗Links - e.g. online platforms, videos, hubs and databases

❌Gap analysis - tools or resources are currently missing

👥 List of stakeholders which should be included in the specific decision point

  • 👥 Data scientists, technical experts, owners of data

    🛠DGI Data Governance Framework - Logical structure for classifying, organising, and communicating complex activities involved in making decisions about and taking action on enterprise data

    🛠DECODE - Provides decentralised, privacy-enhancing, rights preserving tools to give back data sovereignty to people and enable citizens’ digital rights

    🛠 Open Data Tools - Tools and methods for improving the design, practice and implementation of open data initiatives to help solve the region’s key political, economic, and social problems

    📚Opening Data from the Ground Up - Case study and step-by-step guide on how to open up data that is in demand by civil society, as well as how to support civil society organisations to make use of the data to improve the quality of education in their city

    📚Accessing and Making Use of Open Health Data -his guide is written for donors, civil society organisations, governments, and other stakeholders who would like to build capacity of user groups in accessing and using open health data to improve their advocacy or development work.

    ❌Guidance on how to decide between data ownership models

  • 👥Chambers of commerce, private consortiums, public-private partnerships

    ❌Guidance on how to decide on IP ownership outlining advantages and disadvantages of diverse ownership models

How is data selected and reviewed and who does it?
Is there a language selection decision to be made?