10.48380/DGGV-D2QB-C679
Out in the Field - Digital Documentation from Dirt to Desktop
Klump, Jens
Jens
Klump
CSIRO, Perth, Australia
Commonwealth Scientific and Industrial Research Organisation
Ross, Shawn
Shawn
Ross
Macquarie University, Sydney, Australia
Macquarie University
Reid, Nathan
Nathan
Reid
CSIRO, Perth, Australia
Commonwealth Scientific and Industrial Research Organisation
Ballsun-Stanton, Brian
Brian
Ballsun-Stanton
Macquarie University, Sydney, Australia
Macquarie University
Cassidy, Steve
Steve
Cassidy
Macquarie University, Sydney, Australia
Macquarie University
Crook, Penny
Penny
Crook
Macquarie University, Sydney, Australia
Macquarie University
Noble, Ryan
Ryan
Noble
CSIRO, Perth, Australia
Commonwealth Scientific and Industrial Research Organisation
Sobotkova, Adéla
Adéla
Sobotkova
Aarhus University, Aarhus, Denmark
Aarhus University
Abstract
2021
en
Documentation of sample collection and instrument deployment in the field is time-consuming, error-prone and laborious. Even though best practices in research data management suggest that data should be captured in a structured digital format as early as possible in the data life cycle, fieldwork often suffers a digitisation bottleneck.
Mobile applications are one solution to overcome the digitisation bottleneck. They allow data capture in the field, including automatic capture of contextual data like campaign information, operator, date and time, geographic position, etc. On the other hand, systematic field campaigns commonly follow specific workflows and no single application can cover all requirements. Development costs of creating a new software package for each field campaign are also prohibitive.
Instead of a specific mobile application, we use the FAIMS application framework that allows fast production of mobile data acquisition applications that are tailor-made for their intended use cases. In field deployments, we demonstrated that in combination with machine-readable sample labels the sample documentation workflow could be streamlined and the time needed could be reduced by 50%.
The FAIMS application framework allows data, collected offline, to be synchronised between devices and a server, facilitating both data sharing between campaign participants and securing against data loss. The collation of data in this manner also allows data to be fed back into field operations to support decision-making, e.g., to optimise sampling strategies in a dynamic environment or based on newly acquired data.
Australia, Denmark
Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
2021