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The Atomic, Molecular, and Optical Science (AMOS) Gateway is a comprehensive cyberinfrastructure for research and educational activities in computational AMO science. The B-Spline atomic R-Matrix (BSR) suite of programs is one of several computer programs currently available on the gateway. It is an excellent example of the gateway’s potential to increase the scientific productivity of AMOS users. While the suite is available to be used in batch mode, its complexity does not make it well-suited to the approach taken in the gateway’s default setup. The complexity originates from the need to execute many different computations and to construct generally complex workflows, requiring numerous input files that must be used in a specific sequence. The BSR graphical user interface described in this paper was developed to considerably simplify employing the BSR codes on the gateway, making BSR available to a large group of researchers and students interested in AMO science.
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VisDict: A Visual Dictionary in a Science Gateway
Effective communication is crucial for the success of academic projects, especially within multidisciplinary teams where researchers come from different backgrounds not only on personal and/or cultural level but also from different disciplines. This can lead to misunderstandings which might not be even obvious in meetings and project plans if the same terms might be used for different concepts. Team members implicitly assume that all parties work with the same definition of terms. The project VisDict addresses the communication between workflow providers and domain researchers via the creation of a visual dictionary in a science gateway so that differences in the perception of terms are easily recognized and can be timely resolved. Dictionaries are used as translation tools between natural languages – the approach for translating from computational science to research domains such as physics and biology is novel. In this paper, we go into detail for our approach to build a dictionary in a science gateway, the lessons learned from carefully curating the first entries, and plans for automating its extension to a large set of relevant terms including their illustrations.
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- Award ID(s):
- 2216851
- PAR ID:
- 10409018
- Date Published:
- Journal Name:
- Proceedings of Gateways 2022
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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- The DOI is not currently available.
