Abstract

Database management systems have been used to great advantage for industry usage scenarios. As science becomes increasingly dependent on carefully organized and curated data to inform and drive new discoveries, the need for database management systems has grown significantly. The long standing “20 questions” method was advocated in early studies of applying relational databases for science in order to elicit requirements for designing and developing information systems for scientific data. It has been observed, however, that database designs become outdated within months of usage leading to degradation in the quality of the database schema. In addition, there is limited evidence that scientists themselves have the tools and processes necessary to develop and maintain scientific databases without reliance on database administrators. Beyond learning to query databases, scientists need tools to …

Metadata

publication

2023 IEEE 19th International Conference on e-Science (e-Science), 1-10, 2023

year

2023

publication date

2023/10/1

authors

Robert E Schuler, Jitin Singla, Brinda Vallat, Kate L White, Helen M Berman, Carl Kesselman

link

https://ieeexplore.ieee.org/abstract/document/10254872/

conference

2023 IEEE 19th International Conference on e-Science (e-Science)

pages

1-10

publisher

IEEE Computer Society