This is a generalized workflow followed by the University of Toronto Libraries for its DSpace-based repository of previous exam questions from its 3 campuses.
- step1.py creates Dubin Core metadata from PDF's filename + department code in the spreadsheets based on the campus.
- step2.py packages DSpace simple archive that consists of the PDF, DC metadata in XML and "content" file. These archives can then be imported using the DSpace admin batch import functionality.
Clone or download the scripts to your local repository. Ensure you have a the pre-requistie software installed before running the scripts.
You must run step1.py before running step2.py, there are more details below about the usage and workflow.
-
python step1.py /directory_path_to_pdf_exams/ campus[A, B or C] -
python step2.py '/directory_path_to_pdf_exams/
- Exams are scanned/created in PDF with file names based on this file naming convention
- Each PDF file must contain the course code, month and year.
- Run step1.py to generate metadata from PDF's filename
- The script also uses a CSV file of departmental codes per campus for mapping
sample generated metadata file found here
- Run step2.py script to package the PDFs and metadata into DSpace simple archives for ingest
- Import DSpace simple archives into their respective collections via DSpace batch import
DSpace Simple Archives Importer is licensed under Apache License 2.0.