The Open Data for Assessment Fund
Competition updates will be added once the series launches. As we prepare for our initial launch, we are actively seeking out datasets. Please see the final section, Get Involved, for more information on sharing potential ODAF datasets with the Lab. Funding is available!
The Open Data for Assessment Fund (ODAF) was designed to respond to the current lack of high-quality, open source assessment datasets in education. When datasets are open and available, innovators and researchers can develop new solutions (e.g., artificial intelligence and machine learning) that can reduce the cost and time to develop and administer assessments.
- Almost all large educational assessment datasets are proprietary (like ASAP), held by large testing companies for competitive advantage
- Federal funding focuses more on education interventions and research than the development of open datasets
- Few researchers create datasets given the considerable logistical hurdles, and lack of connection to funding and their own career advancement.
As the ODAF is an ongoing project, we are always open to reviewing new datasets! If you have a dataset, or an idea for a dataset, that might be a good fit for the ODAF series– focused on assessment and aligned with the selection criteria– we would love to know more! Funding is available!
Please feel free to email firstname.lastname@example.org.