Typology of Stakeholders
Explore our typology of stakeholders, their tasks, and the decisions they make.
- Module
- Ask
- Theme
- Stakeholder-focused
Found a way to apply or adapt these foundations in your work? We want to know.
Concepts and frameworks for robust, people-centric transparency in documentation.
Foundations explore fundamental challenges and insights from our research on transparency artifacts. Each foundation unpacks one aspect of creating data cards – complete with key takeaways, actions for your team, and worksheets.
Explore our typology of stakeholders, their tasks, and the decisions they make.
Capture the unique information needs of different audiences of your Data Card or documentation as information journeys.
Learn about different granularities of framing questions. Balance focal lengths for a clear picture of your dataset.
A novel knowledge acquisition framework to systematically ask transparency-focused questions about datasets.
Five signals from Data Cards that help readers arrive at informed conclusions about your dataset.
Create a plan and distribute the answering of questions in your Data Card.
Decide what readers should walk away with from your Data Card.
Optimize for focused, concise information in your Data Card.
Write content that matches reader expectations and answers questions.
Differentiate between visualizations to explore the data and to communicate insights.
Help readers establish their use cases of your dataset.
Approaches to analyses that can help readers better intuit how to use your dataset
Walk readers through the definitions of fairness in the context of your dataset.
Capture a variety of new information about a dataset in its Data Card.
Systematically capture changes to the dataset throughout the dataset lifecycle.
Systematically track the usage and adoption of your Data Card efforts across our organization.
Determine which questions are relevant and when.
Select from evaluation methods and gain insight into how your Data Card is performing with readers.