Abstract

Background
Despite the efforts of the neuroscience community, there are many published neuroimaging studies with data that are still not findable or accessible. Users face significant challenges in reusing neuroimaging data due to the lack of provenance metadata, such as experimental protocols, study instruments, and details about the study participants, which is also required for interoperability. To implement the FAIR guidelines for neuroimaging data, we have developed an iterative ontology engineering process and used it to create the NeuroBridge ontology. The NeuroBridge ontology is a computable model of provenance terms to implement FAIR principles and together with an international effort to annotate full text articles with ontology terms, the ontology enables users to locate relevant neuroimaging datasets.
Methods
Building on our previous work in metadata modeling, and in concert with an initial annotation of a representative corpus, we modeled diagnosis terms (e.g., schizophrenia, alcohol usage disorder), magnetic resonance imaging (MRI) scan types (T1-weighted, task-based, etc.), clinical symptom assessments (PANSS, AUDIT), and a variety of other assessments. We used the feedback of the annotation team to identify missing metadata terms, which were added to the NeuroBridge ontology, and we restructured the ontology to support both the final annotation of the corpus of neuroimaging articles by a second, independent set of annotators, as well as the functionalities of the NeuroBridge search portal for neuroimaging datasets.
Results
The NeuroBridge ontology consists of 660 classes with 49 properties with 3,200 …

Metadata

publication

Frontiers in Neuroinformatics 17, 1216443, 2023

year

2023

publication date

2023/7/24

authors

Satya S Sahoo, Matthew D Turner, Lei Wang, Jose Luis Ambite, Abhishek Appaji, Arcot Rajasekar, Howard M Lander, Yue Wang, Jessica A Turner

link

https://www.frontiersin.org/articles/10.3389/fninf.2023.1216443/full

resource_link

https://www.frontiersin.org/articles/10.3389/fninf.2023.1216443/full

journal

Frontiers in Neuroinformatics

volume

17

pages

1216443

publisher

Frontiers Media SA