Towards Machine-FAIR: Representing software and datasets to facilitate reuse and scientific discovery by machines.

ABSTRACT:

Objective

To use software, datasets, and data formats in the domain of Infectious Disease Epidemiology as a test collection to evaluate a novel M1 use case, which we introduce in this paper. M1 is a machine that upon receipt of a new digital object of research exhaustively finds all valid compositions of it with existing objects.

Method

We implemented a data-format-matching-only M1 using exhaustive search, which we refer to as M1_DFM. We then ran M1_DFM on the test collection and used error analysis to identify needed semantic constraints.

Results

Precision of M1_DFM search was 61.7%. Error analysis identified needed semantic constraints and needed changes in handling of data services. Most semantic constraints were simple, but one data f

SUBMITTER: Wagner MM 

PROVIDER: S-EPMC11250896 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature