We prompt you to pre-specify data structures, enabling automated, validated, machine readable data entry and analysis coding.
https://www.loom.com/share/96ae85878d9349569cd866ad5ed2c0bc
Copy the form link to share with collaborators. We collect meta data so that you know when, where, and by whom it was collected. We validate your data on the back and front end so you can be confident you don’t have a number where there should be a letter, for instance.
https://www.loom.com/share/1f7e1710ac4540bdb1e4bf8e900ba182
https://www.loom.com/share/2bb3223b2af744f0afac504ef89249c3
Set permissions for dataset access. Collaborators can be editors, admins, or only have read-only permissions. Soon, we will have more granular permissions to set access at the row and column level for sensitive data.
https://www.loom.com/share/140bea088f68430eac0e81a88337fbc2
Once you’ve collected your data, we make it easy to customize extracts that are most conducive to your analysis, allowing subsetting and reshaping to get whichever data you need, aligned for your purpose.
We also provide rich collection metadata so collaborators have an auditable research trail.
https://www.loom.com/share/d08dfa3378024b139a975b4bbfd76ba4
With the enforcement of consistent structure on your project’s data, we can generate Python or R scripts for best practice implementations of common analyses. Run your analysis from the cloud or your own machine.