> For the complete documentation index, see [llms.txt](https://open-data-institute.gitbook.io/data-landscape-playbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://open-data-institute.gitbook.io/data-landscape-playbook/play-one-define-the-problem/summary-of-play-one.md).
# Summary of Play One
Defining if and how your identified problem can be addressed through improving data access is crucial to planning which data infrastructure your initiative needs to focus on, and finding the resources to develop it. It will also help you understand stakeholder needs, start engaging with the data ecosystem at a local level, and support you in scoping the impact and outcomes you want from your initiative.
You may need to return to this play and refine or adapt your problem statement as you take a deeper dive into the data landscape, or as changes occur, such as newly introduced legislation or newly available data assets.
| Additional resources:
- Catherine D’Ignazio, Lauren F. Klein (2020), ‘Data Feminism’
- Open Data Institute (2020), ‘Open Data Challenge Prizes for Health: a Playbook’
- NYU GovLab, ‘The 100 Questions Initiative’ and ‘Solving Public Problems’
- Nesta/UNDP, ‘The collective intelligence design playbook’
- Global Integrity (2020), ‘Open data standards behind closed doors?’
- The Engine Room (2014) ‘Shooting our hard drive into space and other ways to practise responsible development data’
- FabRiders (2018), The Lifecycle of a Network-Centric Resource’
- Mydatarights Africa/Mozilla, ‘A feminist approach to assessing AI, privacy and data protection in South Africa’
- International Federation of Red Cross and Red Crescent Societies, ‘Data Playbook Toolkit’
- Latin American Open Data Initiative/Hivos, (2020) ‘Inclusion of women in public procurement: The Latin American experience’
- MyData (2019), ‘MyData Design Canvas’
- OD4D State of Open Data (2019), ‘18. Data Infrastructure’
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