Publications

Adam Rule, Amanda Birmingham, Cristal Zuniga, Ilkay Altintas, Shih-Cheng Huang, Rob Knight, Niema Moshiri, Mai H. Nguyen, Sara Brin Rosenthal, Fernando Pérez, und Peter W. Rose. Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks. PLOS Computational Biology, (15)7:1-8, Public Library of Science, Juli 2019. [PUMA: bestPractice jupyter software workflows] URL

Michael Bar-Sinai, und Matthew Dunlap. The Open Monolith - Keeping Your Codebase (and Your Headaches) Small. In JavaOne (Hrsg.), 2017. [PUMA: forschungsdaten development software workflows dataverse repository]

Susan B. Davidson, und Juliana Freire. Provenance and Scientific Workflows: Challenges and Opportunities. Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, 1345--1350, ACM, New York, NY, USA, 2008. [PUMA: provenance metadata scientific workflows] URL

Lucas Augusto Montalvão Costa Carvalho, Rodrigo L. Silveira, Caroline S. Pereira, Munir S. Skaf, und Claudia Bauzer Medeiros. Provenance-Based Retrieval: Fostering Reuse and Reproducibility Across Scientific Disciplines. In Marta Mattoso, und Boris Glavic (Hrsg.), Provenance and Annotation of Data and Processes, 183--186, Springer International Publishing, Cham, 2016. [PUMA: forschungsdaten provenance reproducibility workflows]