CALL FOR CASE STUDIES! Responsible Data Practices in Digital Development
Sonjara, Inc. and Georgetown University are working with the FHI-360-implemented mStar Project to conduct research on existing practices, policies, systems, and legal frameworks through which international development data is collected, used, shared, and released. Based on this research, the team will develop good practice guidelines for USAID that will be tested against real world experiences in field-based digital development programs.
mSTAR is looking for up to three projects where we can test and apply our draft good practice guidelines for ethical collection, use, management, sharing and release of data in field-based digital development programs. We want to hear from you!
What types of projects are we looking for?
- Ongoing or recently concluded projects that are using digital technologies (SMS, IVR, mobile based data collection, USSD, software, social media platforms, sensors/IoT, etc.) to collect, store, analyze, manage, use and share individuals’ data.
- The data could include personally identifiable information (PII) and/or other personal information.
- The project should have informal or formal processes for privacy/security risk assessment and mitigation especially with respect to field implementation of digital technologies (listed above) as part of their program. These may be implicit or explicit (i.e. documented or written). They potentially include formal review processes conducted by ethics review boards or institutional review boards (IRBs) for projects.
- All sectors of international development are welcome to submit case studies.
- Projects from all geographical regions are welcome.
- We prefer case studies from USAID-funded projects but are open to receiving case studies from other donor-supported projects.
If your project or activity falls under the above criteria, please take a few minutes to share your project information here. We welcome multiple submissions from one organization; simply reuse this form for each case study proposed.
Contributions must be received by February 15, 2017.
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