Grey grid

AQUA

Advanced Query Architecture for the SPARC Portal

Level up your SPARC search with AQUA

Grey grid
Aqua logo

About

AQUA (Advanced Query Architecture for the SPARC Portal) an application that aims at improving the search capabilities of the SPARC Portal.

What is SPARC?

The NIH's Stimulating Peripheral Activity to Relieve Conditions (SPARC) program seeks to accelerate development of therapeutic devices that modulate electrical activity in nerves to improve organ function.

What are the FAIR SPARC Data Guidelines?

All SPARC-funded researchers must curate their datasets following the SPARC Data Standards (SDS) and share them openly on the Pennsieve data platform as per their funding agreement with SPARC.

What are the challenges?

Currently, the search feature of the SPARC Portal is very limited. It does not recognize nearby words (typos and close-matches) or synonyms and provides limited result information.

What does AQUA do?

AQUA makes the current SPARC Portal search engine smarter at understanding user query and improve search result display. The end goal is to improve exponentially the visibility of the SPARC datasets.

Technology

AQUA for SPARC utilized 2 main tool groups to develop the User interface and the Back end. The former includes the HTML-CSS-JS trio using: VueJS and NuxtJS. The latter is implemented using Python, Docker, SciGraph, and SQLite.

python logodocker logoscigraph logosqlite logo

Development Approach

AQUA for SPARC is distributed as an open-source application with an MIT License. Anyone is free to fork our GitHub repository and make their own changes if they would like. If you would like to submit a feature modification, or feature suggestion, please feel free to submit an issue on the repository.

aqua contributorsaqua starsaqua issuesaqua license

Origin Story

The AQUA project was first born as an idea at the 2021 NIH SPARC Codeathon. The idea was to improve user query understandability and result display of the SPARC Portal search engine. AQUA received the fourth-place prize at the Codeathon.

sparc-logo-primary

Team Members

Laila Bekhet profile picture

Laila Bekhet

Yuda Munarko profile picture

Yuda Munarko

Niloofar Shahidi profile picture

Niloofar Shahidi

Xuanzhi  profile picture

Xuanzhi

Publications

AQUA: an Advanced QUery Architecture for the SPARC Portal

Citation

Niloofar Shahidi, Xuanzhi Lin, Yuda Munarko, Laila Rasmy, Tram Ngo. "AQUA: an Advanced QUery Architecture for the SPARC Portal."F1000Research (2021). doi.org/10.12688/f1000research.73018.1