1. Epilepsy surgery services should collaborate to create high‐quality data sets for research purposes |
2. Data collection, annotation, and categorization should be standardized across surgery centers |
3. Variables included as predictors in a clinical decision‐making tool should be limited to those that |
(i) are routinely collected for all epilepsy surgery patients |
(ii) can be obtained preoperatively, and |
(iii) are significantly predictive of outcome |
4. Data should be harmonized across surgery centers to tackle variability in data acquisition (e.g., variability induced by differences in MRI scanners and protocols) |
5. Researchers should openly share their code on platforms (such as GitHub; https://github.com) to maximize transparency, support reproducibility, and enable external validation. In cases where code cannot be shared, researchers should share their models in a way that they can be validated by external centers |