Daniel S. Katz
Chief Scientist, NCSA & Associate Research Professor, Computing and Data Science & Associate Research Professor, Information Sciences
University of Illinois Urbana-Champaign
The scholarly ecosystem developed alongside published papers and books. However, other types of work also need to be recognized, including data and software. While work on data has been widely included in policies and increasingly in practices, software has not had the same visibility, though much work has occurred in the last decade to enable the scholarly ecosystem to better recognize and include research software, in areas such as repositories and registries, publishers and citation and indexers, FAIR principles, and research performing organizations and career paths. This talk will highlight and summarize this work, so that listeners can understand what their organizations can do to better support software, in addition to papers and data.
Presentation Slides: https://doi.org/10.5281/zenodo.14501720
Related Links:
- https://doi.org/10.7717/peerj-cs.86
- https://doi.org/10.12688/f1000research.26932.2
- https://doi.org/10.48550/arXiv.2012.13117
- https://doi.org/10.15497/RDA00053
- https://doi.org/10.15497/RDA00068
- https://doi.org/10.48550/arXiv.1905.08674
- https://doi.org/10.1109/BoKSS52540.2021.00016
- https://doi.org/10.1109/MCSE.2018.03221930
