Data Responsibility Journey
The Data Responsibility Journey is an assessment tool that outlines the opportunities and risks to consider at each stage of the data lifecycle when implementing a data collaborative. You will be presented with a series of questions regarding your data collaboration project and, based on your answers, you will receive a report with customized recommendations and useful resources.
You can start your journey in a few different ways. You can 1) start from the beginning; 2) go directly to a particular stage of the data life cycle; or 3) view a filtered list of questions based on where you work.
Organization Specific Journeys
You can also choose predefined journeys for these specific organizations
Civil Society Organization
Do you support data collaboration for an international, national, or community-level civil society organization? These questions and considerations will be most useful for you.
Humanitarian or Development Organization
Do you use data to achieve humanitarian or development objectives? These questions and considerations can help support your work.
Large Business
Do you lead a data collaboration portfolio at a large business or corporation? Your data responsibility journey starts here.
Public Agency
Do you help to drive data projects in the public sector, e.g. at a national statistical office? Start here to see the data responsibility questions and considerations most relevant to your work.
Small Business
Are you the resident data steward at your small business or startup? Start your data responsibility journey here.
Full Journey
I do not wish to customize my journey.
Choose a Stage
Alternatively, you can also choose just specific stage of the joinery
Planning
54 minutes
In the planning stage, the project’s intended and expected value are identified. Goals and evaluation metrics are defined. Partners are identified and vetted. An adaptable plan is created to govern implementation of the data collaborative.
Collecting
36 minutes
In the collecting stage, data is collected and verified according to needs of the data collaborative while protecting data subject privacy and adhering to regulations.
Processing
34 minutes
In the processing stage, data is stored, accessed, aggregated, and taxonomized for analysis and use according to the needs of the data collaborative.
Sharing
20 minutes
In the sharing stage, operational aspects between partners are coordinated, trust is established and maintained, third parties are engaged if necessary, and data and/or knowledge is transferred.
Analyzing
15 minutes
In the analyzing stage, exploratory and targeted data analyses are conducted, algorithms are applied, and quantitative results are developed.
Using
32 minutes
In the using stage, findings are framed and released to the public, actionable recommendations are developed, plans are implemented to retain or destroy data, and data collaborative performance is reflected upon.
