MQ RDR Batch Uploader

Batch upload of research metadata to the Macquarie University Research Data Repository

Description

The Macquarie University Research Data Repository (RDR) allows researchers to upload, publish and share research data. The MQ RDR Batch Uploader facilitates the upload of metadata records by allowing researchers to supply a CSV file containing multiple metadata entries, and uploading these to the RDR in a single batch operation.

Getting Started

Dependencies

• pandas
• getpass
• requests

$ pip install pandas
$ pip install getpass
$ pip install requests

Creating the CSV file

Create a csv file (make sure your file ends in .csv) and make sure the minimum column headings are included (see Example files)

• How/where to download your program
• Any modifications needed to be made to files/folders

Executing program

• Execute the batch uploader by running:

$ python rdr_batch_uploader myfile.csv

• You will be prompted for your RDR API token. See below for instructions on how to generate and access your API token.

Help/Contact

Please contact Gerry Devine, Macquarie University for any help or advice in using this software: [email protected]

Authors

Gerry Devine Digitally Enabled Research Macquarie University
[email protected]

Features History

• July 2021
  • Initial Release
  • csv file upload of metadata information only

License

This project is licensed under the MIT License - see the LICENSE.txt file for details