Abstract

In order to conduct research effectively, scientists must be able to access, organize, describe, and produce data as part of their daily research activities. While relational databases are well suited to the tasks of describing and organizing scientific metadata and results, the difficulties of using relational database management systems effectively, have resulted in their limited adoption among scientists. In addition, scientific research is changing steadily with new experimental protocols, instruments, and discoveries that determine what data are generated and how they must be described and organized according to a relational schema. Unfortunately, evolving a schema is one of the most difficult aspects of database usage. The conventional data definition and manipulation languages offer relatively low-level programming abstractions to perform complex database evolution tasks, and therefore require …

Metadata

publication

Distributed and Parallel Databases 39 (2), 483-543, 2021

year

2021

publication date

2021/6

authors

Robert Schuler, Carl Kesselman

link

https://link.springer.com/article/10.1007/s10619-020-07314-x

journal

Distributed and Parallel Databases

volume

39

issue

2

pages

483-543

publisher

Springer US