aaxelb/push-to-share

push-to-share

Application to push metadata from a spreadsheet into SHARE -- a free, open dataset of research (meta)data.

Setup

Clone the push-to-share repository to your computer.

It is useful to set up a virtual environment to ensure python3 is your designated version of python and make the python requirements specific to this project.

mkvirtualenv share -p `which python3`
workon share

Once in the share virtual environment, install the necessary requirements.

pip install -r requirements.txt

Copy cp sharepush/settings/source-dist.py to sharepush/settings/source.py. NOTE: This is your local settings file. It will not be added to source control, so change it as you wish.

$ cp sharepush/settings/source-dist.py sharepush/settings/source.py

Add data

See data/example-*.csv for proper formatting.

In the data directory add works.csv and other relevant files. Currently supports:

• works.csv
• contributors.csv
• funders.csv
• awards.csv

NOTE: the column headers and column names of the csv files must match the format of the example files. Excluding the first column (i.e., work_id), column order does not matter.

Run

Run the following commands from the terminal to test loading data from the csv files. dry=True will result in the JSONLD that would be sent to SHARE to be printed to the terminal:

$ python
$ from sharepush.push import load_data
$ load_data(dry=True, dir_name='data-test')

Run the following commands from the terminal to load data from the csv files and push the data to SHARE. dir_name is the name of the folder to read data from; if parameter is not provided it will default to 'data':

$ python
$ from sharepush.push import load_data
$ load_data(dir_name='data-test')

If errors occur on submission, the graph of the work and the response will print to the terminal.