> For the complete documentation index, see [llms.txt](https://open-data-institute.gitbook.io/data-governance-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-governance-playbook/play-two-understanding-and-mapping-health-data-ecosystems/resources-related-to-this-play.md).

# Resources related to this play

#### Within the playbook:

* [Roles and responsibilities in governance of health data ](/data-governance-playbook/roles-and-responsibilities-for-data-governance.md)
* [Implementing data governance in healthcare](/data-governance-playbook/play-one-implementing-data-governance-in-healthcare.md)

#### Additional resources:

* All maps in this play were drawn using the mapping tool [Kumu](https://kumu.io/).
* The ODI’s [data ecosystem mapping tool](https://theodi.org/article/data-ecosystem-mapping-tool/.) provides a logical approach on how to develop a data ecosystem map.
* A [webinar hosted by GODAN](https://www.youtube.com/watch?v=LKiIMTHDpoo) covers how data ecosystem mapping can support data being findable, accessible, interoperable and reusable (the[ FAIR data principles](https://www.force11.org/group/fairgroup/fairprinciples)).
* The [ODI’s data landscape playbook](https://theodi.org/article/introducing-the-odi-data-landscape-playbook/) provides additional information about data ecosystem mapping and other techniques to understand the data landscape.
* The [WHO Health Data Governance Summit pre-read material](https://cdn.who.int/media/docs/default-source/world-health-data-platform/events/health-data-governance-summit/preread-1-who-data-governance-summit_health-data-landscape.pdf?sfvrsn=1fa04413_8) about the health data landscape has additional use cases and guidance.
* The ODI’s webinar, ‘[Data ecosystem mapping: plotting the journey from data to value for your business](https://theodi.org/event_series/data-ecosystem-mapping-plotting-the-journey-from-data-to-value-for-your-business/)’, provides further guidance and support on data ecosystem mapping.