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Welcome to the nihmporter wiki!

Installation

You can use make_conda_environment.sh to build a proper Anaconda environment (by default, named nih).

Usage

Activate the above environment and run

# after activating the appropriate conda environement
./import.py

It should result in some feather/pickle (as of December 2019, feather files don't suport > 2GB columns) files, each one storing a Pandas dataframe.

Extra utilities

connectivity_stats.py allows to compute some statistics (such as "number of projects that are not associated with any publication", and such) from the CSV data generated by the main program. Hence, connectivity_stats.py can only be run after import.py.

Data Documentation

Some useful links:

• Data structure explanation
• FAQ

Some acronyms that are mentioned above:

• DUNS: Data Universal Numbering System: for identifying organizations