Transforming field research by overcoming the ‘digitisation bottleneck’, and reducing the cost of creating digital and FAIR-compliant data.

FAIMS 3.0 will re-engineer Field Acquired Information Management Systems (FAIMS) Mobile, a mature and stable, but dated, system for producing custom electronic notebooks for data collection in diverse field situations. This project will make quality, comprehensive datasets the norm, and the platform will integrate with existing virtual environments for data analysis and repositories, including AARNet’s CloudStor and SWAN, and Auscope’s Virtual Research Environment (AVRE) for Geoscience.

FAIMS 3.0 is an ARDC Research Platforms project.

Title image: Data collection with the FAIMS Mobile App in the Blue Mountains with Georgia Burnett and Penny Crook. CC-BY Shawn Ross 2014

Start date 1 June 2020
Expected completion date 30 June 2022
Investment by ARDC $600,000
Lead node
1 Alpha version - June 2021
The Alpha version is developed and goes through user acceptance testing (UAT)
2 Beta version - December 2021
The Beta version is complete, and work on the CloudStor integration begins
3 Initial full release - June 2022
The first release is available, and passes UAT. Integration with Alveo begins
4 Further integrations - December 2022
Begin integration with OpenContext, tDAR, and AVRE Geo DeVL
5 Initial documentation
Documentation describing customisation and module development, templates and sample modules will be made available for developers
6 Completed integrations - March 2023
User acceptance testing for FAIMS 3.0 is passed. OpenContext and tDAR integration are complete. All client-facing documentation is finalised.

Core features

Customisable field notebook program
Customised applications are tailored to the requirements of diverse research communities (including academic, government, and industry users) which accelerate knowledge generation by producing FAIR datasets and documenting research processes, supporting large-scale studies and improving transparency.
Integration with existing services
The platform will integrate with existing virtual environments for data analysis and repositories. These integrations cover general use, such as Cloudstor, SWAN and Open Context, as well as those specific to disciplines, such as AVRE Geo DeVL for geoscientists, ALVEO for human communication science and tDAR for archaeology. These integrations bridge the data capture and processing stages of fieldwork and facilitate a seamless workflow from data creation, through cleaning and analysis, to publication and archiving.

Who is this project for?

  • Field based data gatherers
  • Organisations or project groups working in a field based scenario with a need for high quality data gathering

What does this project enable?

Field based researchers will be able to gather high quality data and feed it directly into a number of integrated services using the FAIR principles.

Handy resources

Macquarie UniversityVisit
University of New South WalesVisit
La Trobe UniversityVisit