Creating inclusive datasets for other multilingual regions involves several key steps:
Understanding the Linguistic Landscape: Begin by identifying the languages spoken in the region and their distribution across different demographics.
Building a Network of Local Partners: Collaborate with local organizations, universities, language experts, and community influencers to recruit participants and ensure cultural sensitivity.
Developing Customized Prompts: Tailor prompts and questions to reflect the diverse cultural backgrounds, interests, and daily experiences of participants in each language.
Utilizing Technology Platforms: Implement user-friendly data collection platforms like Karya that can operate offline and synchronize data efficiently.
Implementing Quality Control Measures: Establish robust quality control mechanisms to verify participant information, audio recordings, and adherence to diversity criteria.
Training Local Coordinators: Provide training to coordinators on using data collection tools effectively and ensuring consistency in procedures across different locations.
Ensuring Data Privacy : Maintain strict protocols for handling sensitive participant information while collecting data ethically.