IDDO's governance structure includes an advisory Board appointed to oversee the strategic direction and execution of IDDO’s objectives. In addition, a Scientific Advisory Group has been appointed for each research theme to guide and feedback on programmatic activities. Please see the individual research themes for details of governance activities.
IDDO has a robust data governance framework to protect the privacy, integrity and security of data across the IDDO platform, with access to data overseen by IDDO’s independent Data Access Committees. These systems and procedures are detailed within the individual research themes.
We host one of the largest international collections of clinical data related to COVID-19 with detailed individual patient data on more than 700,000 hospitalised individuals from over 1,200 institutions across over 45 countries. IDDO has facilitated the re-use of these data in 48 novel analyses to date.
IDDO is working with the global VL research community to collate data and deliver robust science to address knowledge gaps and save lives with better treatment. To date, this collaboration has assembled a harmonised clinical trials database containing over 14,000 individual patient data (IPD), representing nearly half of the published sample size from the last 15 years.
Substandard and falsified (SF) medicines negate the multiple benefits of modern healthcare, so good quality medical products are essential. By sharing global expertise and collating information, IDDO’s Medicine Quality Research Group strengthens knowledge of the scale of the problem and raises vital awareness among key stakeholders.
Antimicrobial resistance (AMR) is a serious threat to global public health that threatens the effective prevention and treatment of a range of infections caused by microorganisms such as bacteria, parasites, viruses and fungi. AMR can result in treatment failure, prolonged illness and increased healthcare costs.
Febrile illness is one of the most common reasons for healthcare visits globally. Once malaria is excluded, identifying the primary causative pathogens is restricted due to the limitations of diagnostic facilities and the scarcity of comprehensive surveillance data. In a major international study, researchers have carried out extensive systematic reviews to map the most common causes of non-malarial febrile illness across different endemic regions.
IDDO is currently scoping several new disease themes. As part of this process, IDDO conducts a scoping and feasibility assessment to gain an understanding of the clinical data landscape for that disease and whether a data platform would be of value to help advance research and answer critical questions.