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Currently, there is a Python pickle file that stores both primary data and derived data. This is very convenient for Python, but less convenient for anything that is not Python.
I wonder if we want to keep just the primary data in a nice, portable, small file from which everything (including convenient Python pickles) is derived. But what format should this be?
Python pickle (still not super convenient)
JSON?
XML?
SQLite?
As a reminder, we decided the primary data consisted of the following:
canonical isomeric SMILES
experimental data:
experimental value
experimental uncertainty
citation for experimental data
notes field
Eventually, it would be great if there was also more provenance data for the experimental value (e.g. if Peter Guthrie had computed it from combining data from multiple publications and applying a conversion) but this is a more advanced topic.
The text was updated successfully, but these errors were encountered:
I’m OK with it being in some other format, as long as it is an easy format to work with. XML is the only one of those that I have even a passing familiarity with. Basically, whatever format we pick, my big request is to make sure that there is a good Python library for working with it, as I don’t want to have to learn something else to manage this. :)
Currently, there is a Python pickle file that stores both primary data and derived data. This is very convenient for Python, but less convenient for anything that is not Python.
I wonder if we want to keep just the primary data in a nice, portable, small file from which everything (including convenient Python pickles) is derived. But what format should this be?
As a reminder, we decided the primary data consisted of the following:
Eventually, it would be great if there was also more provenance data for the experimental value (e.g. if Peter Guthrie had computed it from combining data from multiple publications and applying a conversion) but this is a more advanced topic.
The text was updated successfully, but these errors were encountered: