Collecting
The Collecting stage involves the responsible generation or compilation of data that will be used in the collaborative.
36min to complete this step
Download full questionnaireProportional Data Collection
Have you ensured that the amount of data collected or made accessible is the minimum necessary to address the problem or question?
Key Stakeholders:
- Partner
Keyword tags and Resources:
Respecting Rights & Dignity
Have you ensured that data collection processes are respectful of data subjects’ rights and conducted in a way that prioritizes their dignity?
Key Stakeholders:
- Legal
- Data Engineering
- Data Subjects
- Intended Beneficiaries
Keyword tags and Resources:
Practicing Privacy-by-Design
Have you taken a “privacy-by-design” approach, in which technical solutions provide security and reduce the risk of data exploitation?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
Adhering to Regulations
Have you ensured data collection adheres to relevant data protection regimes?
Key Stakeholders:
- Legal
- Data Engineering
- Data Subjects
- Intended Beneficiaries
Keyword tags and Resources:
Obtaining Consent
Have you obtained meaningful consent to collect data?
Key Stakeholders:
- Legal
- Data Subjects
- Intended Beneficiaries
Keyword tags and Resources:
Protecting Data Sources
Have you ensured that any sensitive, personally or demographically identifiable data is protected?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
Ensuring Congruence
Have you taken steps to ensure that the eventual use (and reuse) of data aligns with data subjects’ consent and expectations at the collecting stage?
Key Stakeholders:
- Partner
- Management
- Data Engineering
Keyword tags and Resources:
Continually Reviewing Collection Processes
Are processes for data collection and consent upheld and continually reviewed throughout the data collaborative?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
Constructing a Data Inventory
Have you audited and inventoried datasets that could support the work and potentially negate the need for new data collection?
Key Stakeholders:
- Data Science/Analytics
Keyword tags and Resources:
Evaluating Data Context
Have you assessed the context in which data was collected to ensure that data is applicable to the current problem or situation?
Key Stakeholders:
- Data Engineering
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Evaluating Data Accuracy
Have you assessed the relevance, accuracy, and timeliness of collected data?
Key Stakeholders:
- Data Science/Analytics
Keyword tags and Resources:
Evaluating Data Completeness
Have you assessed how complete and representative the data is in relation to the data collaborative’s focus?
Key Stakeholders:
- Partner
- Data Engineering
Keyword tags and Resources:
Evaluating Data Consistency
Have you ensured that the data conforms to the syntax of its definition?
Key Stakeholders:
- Partner
- Data Engineering
Keyword tags and Resources:
Evaluating Data Limitations and Biases
Have you assessed limitations in the data, and engaged external experts to evaluate any unperceived data biases?
Key Stakeholders:
- Partner
- Data Science/Analytics
Keyword tags and Resources:
Evaluating Data Timeliness
Have you determined whether data collection is frequent and timely enough to inform effective analysis and decision-making?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
Preventing Bad Data
Have you mitigated risks of producing bad data, e.g., technological challenges and misconfigurations, variable norms or quality standards, legal confusion or gaps, and misaligned incentives or interests?
Key Stakeholders:
- Partner
- Data Engineering
- External Expert
Keyword tags and Resources:
Introducting Data Safeguards
Have you introduced human oversight and technical safeguards to minimize the risk of transcription errors or data manipulation?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
Developing Documentation
Have you implemented processes for recording data collection methods, unique features, historical events, omissions, biases, and metadata?
Key Stakeholders:
- Data Engineering
Keyword tags and Resources:
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priorities identified
