Advanced analytics, Process audits, review of existing tools and quality assurance guidelines.
Convene and equip stakeholders in research and data analytics with a deeper understanding of data quality and tools to communicate and advocate for enhanced quality, and support them to execute data quality related activities within their agencies
Build capacity and in-house expertise in institutions and individuals to implement robust data quality assurance (DQA) activities and extend technical assistance to implement DQA protocols and standard operating procedures (SOPs)
Generate novel solutions for improving data quality through the development and testing of innovations
To Improved Data Quality
Develop plans to improve data quality, Set goals, Develop guidelines, manuals and working papers, Innovation challenge fund.
Community of practice, Series of workshops and meetings to discuss data quality issues and solutions.
Technical support to develop organizational strategy, Trainings, Testing and scale-up of solutions.
The forum is housed at and led by the National Institute of Medical Statistics (NIMS) – an Indian Council of Medical Research (ICMR) institute.