Data processing pipelines that are designed to clean, transform and alter data in preparation
for learning predictive models, have an impact on those models' accuracy and performance…

Curated databases in bioinformatics and other disciplines are the result of a great deal of
manual annotation, correction and transfer of data from other sources. Provenance information …

As humans, we have expectations for the results of any action, eg we expect at least one
student to be returned when we query a university database for student records. When these …

Generating value from data requires the ability to find, access and make sense of datasets.
There are many efforts underway to encourage data sharing and reuse, from scientific …

This paper describes the overall design and architecture of the Timber XML database system
currently being implemented at the University of Michigan. The system is based upon a …

Database researchers have striven to improve the capability of a database in terms of both
performance and functionality. We assert that the usability of a database is as important as its …

As the world is increasingly networked and digitized, the data we store has more and more
frequently been chopped, baked, diced and stewed. In consequence, there is an increasing …

Bias, unfairness and lack of transparency and accountability in Artificial Intelligence (AI)
systems, and the potential for the misuse of predictive models for decision-making have raised …

Protein interaction data exists in a number of repositories. Each repository has its own data
format, molecule identifier and supplementary information. Michigan Molecular Interactions (…

Engaging end user groups with machine learning (ML) models can help align the design of
predictive systems with people's needs and expectations. We present a co-design study …