2020

Wf4Ever project
Wf4Ever was a research object funded by EU Framework 7 to investigate how scientific workflows and their data could be better preserved for reproducibility, reuse and resiliance against workflow decay. For instance, a particular computational analysis may require certain software preinstalled, and rely on web services and databases on the network. The workflow is also executed in a particular workflow engine, possibly using plugins or additional shims for data conversations etc. …
About Stian Soiland-Reyes
Overview tl;dr: Open Source research software engineer with interests in Linked Data, RESTful web services, provenance, annotations, open science, reproducible research results. twitter.com/soilandreyesorcid.org/0000-0001-9842-9718slides.com/soilandreyesslideshare.net/soilandreyesgithub.com/stainlinkedin.com/in/stain/skype:soiland Biography Stian Soiland-Reyes is a Technical Architect and Research Associate in the Department of Computer Science. He graduated in 2006 with an MSc in Computer Science from the Norwegian University of Science and Technology (NTNU). He has two decades of experience as an IT professional, including 15 years as a software developer working across academia and industry. …
Publications
.title { font-weight: bold; } .subtitle { font-style: italic; } Note: This page is generated from www.research.manchester.ac.uk which usually is more up to date and includes preprints. 2020 Leipzig J, Nüst D, Hoyt CT, Soiland-Reyes S, Ram K, Greenberg J. The role of metadata in reproducible computational research. 2020 Jun 15. arXiv:2006.08589 [pdf] Wittner R, Holub P, Geiger J, Müller H, Goble C, Soiland-Reyes S et al. …