Data curation materials in "Daily life in the Open Biologist's second job, as a Data Curator"

This is the supplementary material accompanying the manuscript "Daily life in the Open Biologist’s second job, as a Data Curator". It contains: "Python_scripts.zip": Python scripts used for data cleaning and organization: -add_headers.py: adds specified headers automatically to a list of csv files, creating new output files containing a "_with_headers" suffix. -count_NaN_values.py: counts the total number of rows containing null values in a csv file and prints the location of null values in the (row, column) format. -remove_rowsNaN_file.py: removes rows containing null values in a single csv file and saves the modified file with a "_dropNaN" suffix. -remove_rowsNaN_list.py: removes rows containing null values in list of csv files and saves the modified files with a "_dropNaN" suffix. "README_template.txt": a template for a README file to be used to describe and accompany a dataset. "template_for_source_data_information.xlsx": a spreadsheet to help manuscript authors to keep track of data used for each figure (e.g., information about data location and links to dataset description).