PUMA publications for /group/researchcode/softwareTue Apr 29 16:47:19 CEST 202508Results on a Survey on Research Software Metadata in the NFDI Consortia 2024forschungsdaten metadata software survey nfdi Thu Mar 13 07:50:35 CET 202502Ensure Software Quality2024forschungsdaten metadata software qualitry Thu Mar 13 07:50:35 CET 202502Ensure Software Quality2024forschungsdaten metadata software qualitry Mon Jul 01 11:55:16 CEST 2024Nature Computational ScienceSoftware in science is ubiquitous yet overlooked2024RSE software maintenance licensing research Software is much more than just code. It is time to confront the complexity of licenses, uses, governance, infrastructure and other facets of software in science. Their influence is ubiquitous yet overlooked.Mon Jul 01 11:55:16 CEST 2024Nature Computational ScienceSoftware in science is ubiquitous yet overlooked2024RSE software maintenance licensing research Software is much more than just code. It is time to confront the complexity of licenses, uses, governance, infrastructure and other facets of software in science. Their influence is ubiquitous yet overlooked.Tue Jun 25 15:25:48 CEST 2024PLOS Computational Biology0771-8Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks152019bestPractice jupyter software workflows nullTue Jun 25 15:25:00 CEST 2024FAIR Jupyter: a knowledge graph approach to semantic sharing and granular exploration of a computational notebook reproducibility dataset2024jupyter software reproducibility knowledgegraph Tue Oct 24 11:32:47 CEST 2023Kadi4Mat - Karlsruhe Data Infrastructure for Materials Science2023forschungsdaten software eln tools Wed Oct 18 09:05:01 CEST 2023Toward Research Software Engineering Research2023forschungsdaten metadata software classification Fri Sep 22 09:24:10 CEST 202304{DLR-SC/prov-comics: QS PROV Comics Prototype - Big fixes}2017forschungsdaten provenance metadata software comics tools javascript Tue Aug 01 07:13:16 CEST 202306{D4.4 - Guidelines for recommended metadata standard for research software within EOSC}2023forschungsdaten standards metadata software eosc from:diglezakis Tue Aug 01 07:13:16 CEST 202306{D4.4 - Guidelines for recommended metadata standard for research software within EOSC}2023forschungsdaten standards metadata software eosc Tue Jun 13 11:13:56 CEST 2023Computational reproducibility of Jupyter notebooks from biomedical publications2022forschungsdaten jupyter software reproducibility review Thu Jun 08 07:14:55 CEST 202310Practical guide to Software Management Plans2022forschungsdaten datenmänagementplan software dmp Fri May 19 06:23:28 CEST 2023Defining Research Software: a controversial discussion2021forschungsdaten software definition Fri May 19 06:23:28 CEST 2023Defining Research Software: a controversial discussion2021forschungsdaten software definition from:diglezakis Fri Mar 24 07:48:14 CET 2023Scholarly infrastructures for research software : report from the EOSC Executive Board Working Group (WG) Architecture Task Force (TF) SIRS2020infrastruktur forschungsdaten software eosc Fri Mar 17 12:13:08 CET 2023International Journal of Digital Curation08116Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive ({HAL})152020forschungsdaten software curation quality repository Fri Mar 17 12:13:08 CET 2023International Journal of Digital Curation08116Curated Archiving of Research Software Artifacts: Lessons Learned from the French Open Archive ({HAL})152020forschungsdaten software curation quality repository from:diglezakis Tue Feb 21 12:48:43 CET 2023Artwork Size: 8057464 bytesISBN: 9783943363067Medium: application/pdfPublisher: Universität Bielefeld8057464 bytesStudies in {Analytical} {Reproducibility}: the {Conquaire} {Project}2021forschungsdaten psychology software reproducibility analyticalreproducibility This book is a direct result of the Conquaire (Continuous Quality Control for Research Data to Ensure Reproducibility) project, which was funded by the DFG between 2016 and 2019. The goal of the project was to understand in how far principles from continuous quality control and test-driven development can be applied to the management of research data to increase its quality and potential for re-use. In order to arrive at such an understanding, we have been closely working together with researchers from different disciplines at Bielefeld University ranging from biology, over chemistry, economics, linguistics, psychology through to computer science / robotics. Within these use cases we have aimed at reproducing one central part of a previously published research article. In doing this, we have limited ourselves to reproducing the computational analysis leading to the particular result, as reproducing the actual experiments would have been outside of the scope of the Conquaire project. The book that lies in front of you documents these eight case studies and describes what we have done to reproduce the specific results. The work conducted in the case studies has provided us with a detailed understanding of the analytical workflows used by all the case study partners and has allowed us to get a deep understanding of barriers and challenges in reproducing published results. The book concludes with recommendations and lessons learned from the practical attempt to reproduce a number of published results.