Closed k8hertweck closed 3 years ago
Other sources for data:
Note: all datasets in comment above are from Data Dryad, which is a repository for data published with scientific manuscripts. They don't have expectations about how the data are structured for archival, so some are more accessible (e.g., easily downloadable and ready to analyze) than others. If we decide to use a dataset from there (or elsewhere) that isn't quite ready to analyze (e.g., is in an excel spreadsheet), we can do some basic data conversion/cleaning and add those data to our repo (with a README, of course).
For context, here are the datasets used for the machine learning courses:
Rate each criteria on the following scale: 1 - slightly or not accurate 2 - moderately accurate 3 - very accurate
Feel free to include any additional notes about the dataset you think would be relevant.
Here is my ranking after viewing all of the datasets. Dataset 1) 4th Choice 2, 2, 1, 3, 3, 3
Dataset 2) 5th Choice 1, 1, 1, 1, 1, 1
Dataset 3) 1st Choice 3, 3, 1, 3, 3, 3
Dataset 4) 3rd Choice 3, 3, 3, 1, 1, 3
Dataset 5) 2nd Choice 3, 1, 2, 3, 3, 3
D1] 2, 2, 3, 2, 2, 2 D2] 2, 2, 3, 2, 1, 2 D3] 3, 3, 2, 3, 3, 3 D4] 1, 3, 1, 3, 3, 2 D5] 1, 3, 1, 3, 3, 2
I'm particularly excited about the skin legions data (both because it is an image set and because interesting analyses may sprout thereof), and also the child health and development data (notably, because it is very large and can also lead in diverse directions). I think downloading many of these options may prove to be a little cumbersome or tricky, but not enough to disqualify any of them immediately, although after accounting for their smaller sample sizes and less associated research, the remaining sets are lower priority for me.
Selected datasets:
Adding this for future reference:
Clinical data and metadata: https://datadryad.org/stash/dataset/doi:10.5061/dryad.r36cn90
Data specifications: