Background: Digital Object Identifiers (DOIs) are a key persistent identifier in the publishing landscape to ensure discoverability and citation of research products. Minting DOIs can be a time-consuming task for repository librarians. This process can be automated since the metadata for DOIs is already in the repository record and DataCite, a DOI minting organization, and Open Repository, a DSpace repository platform, both have application programming interfaces (APIs). Previous software has enabled bulk DOI minting. However, the institutional repository contains a mixture of original materials (dissertations, reports, data, etc.) and previously published materials such as journal articles and preprints. Description: An institutional repository librarian and her librarian colleague with Python experience embarked on a pair programming project to create a script to mint DOIs on demand in DataCite for individual items in the institution’s Open Repository instance. The pair met for one hour each week to develop and test the script. The institutional repository librarian lent invaluable insight into both platforms and the metadata variations the code would need to account for. The project was also a great learning opportunity for both librarians to improve their Python coding skills. This project will be evaluated in terms of how the time spent creating the code compares to the time it takes to mint DOIs manually as well as metadata enhancements and accuracy in DataCite. Program Conclusion: This poster will share the final Python script and highlight the takeaways from this approach for both the institutional repository librarian and the coding librarian. Final evaluation is forthcoming.