Topic summary
About the Datasets category
This is a generated summary. It shows the 5 most-liked posts from a topic of 12, in their original order, with the accepted answer included where one exists. It is a reading aid and it will miss nuance — the full topic is the record.
Knowlton, post #7: Temporal bias: older data in a dataset might reflect conditions (supplier, formulation, context) that have changed. Newer data is more current. Go to post
How to contribute: if you have longitudinal data you want to add, the format is simple: date, measurement, context. Contact the maintainer of the specific dataset.
p.silva, post #5: Bias toward positive outcomes: datasets collected by members are biased toward people who found the compounds useful. People who did not respond do not return. People who had bad outcomes might have left the community. Go to post
Privacy: if contributing data, only share data you are comfortable making permanent and public. Once posted, data is persistent.
l.dziedzic, post #9: Privacy: if contributing data, only share data you are comfortable making permanent and public. Once posted, data is persistent. Go to post
post #10 answers the question as asked. The question underneath it is different.
Using data in discussions: datasets are useful as reference points when someone claims something unusual. "I have not seen that reported in the data" is different from "that is impossible", but data gives you something to say.
Read the full topic (12 posts)
This topic was referenced in
- Coming back to: A community side-effect dataset, with its response rate and biasesData & Tools › Datasets · 101 replies
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