{"id":25690,"date":"2024-02-14T19:27:27","date_gmt":"2024-02-14T18:27:27","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/what-tools-and-tech-should-i-use-to-build-an-open-source-dataset\/"},"modified":"2024-02-14T19:27:27","modified_gmt":"2024-02-14T18:27:27","slug":"what-tools-and-tech-should-i-use-to-build-an-open-source-dataset","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/what-tools-and-tech-should-i-use-to-build-an-open-source-dataset\/","title":{"rendered":"What Tools And Tech Should I Use To Build An Open Source Dataset?"},"content":{"rendered":"

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Hey everyone,<\/p>\n

I want to build an open source dataset in the clinical trial space. I’m looking for some tech\/tools recommendations that make building an open source dataset easy.<\/p>\n

I guess the easiest would just be to set up a Google Sheet and Google Form to get new data submissions. I also came across: https:\/\/github.com\/dolthub\/dolt<\/a>, but this seems to be quite expensive.<\/p>\n

Some requirements that need to be fulfilled:
– The core dataset should be public, but we want to restrict access to contact information such as email or phone numbers to avoid that people get spammed
– People should be able to submit new data or submit updates to existing data points, but this data should be verified before it’s written to the public dataset – The final dataset could become quite large (10-20GB). Google Sheet won’t work with this – Users and contributors are non-technical. So it needs to be easy for them to user<\/p>\n

Would be curious to learn more about how other people have built their datasets.<\/p>\n

Thanks a lot!<\/p>\n<\/div>\n

submitted by \/u\/Affenbob123 <\/a>
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