Deploying an Offline, Multi-User, Mobile System for Digital Recording in the Perachora Peninsula, Greece

Sobotková, Adéla; Ross, Shawn; Heřmánková, Petra; Lupack, Susan; Nassif-Haynes, Christian; Ballsun-Stanton, Brian; Kasimi, Panagiota

doi:10.1080/00934690.2021.1969837

Cited by 5 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The architecture and functionality of FAIMS Mobile have been presented elsewhere (Ballsun-Stanton et al 2018;Ross et al 2015Ross et al , 2013Sobotkova et al 2015), as have case studies about its deployment in archaeology (Sobotkova et al 2016(Sobotkova et al , 2021 and geochemistry (Noble et al 2018(Noble et al , 2020Thorne et al 2018). Key features and capabilities of FAIMS Mobile are summarised in Supplemental Material.…”

Section: The Faims Project and Faims Mobile Platformmentioning

confidence: 99%

“…FAIMS Mobile promoted the use of local controlled vocabularies (Ballsun-Stanton et al 2018;Sobotkova et al 2021). The system included the usual drop-down lists, radio buttons, and checkboxes.…”

Section: Local Vocabulariesmentioning

confidence: 99%

“…The combination of record-and field-level metadata, particularly the ability to annotate records or individual values with unconstrained text, helped some projects to overcome the rote aspects of form-filling, especially for students during field schools. When thoughtfully deployed, promoted, and used, they provided space for reflective practice, including consideration of the archaeological record and the experience of being in the field (contra Caraher 2016; see also Sobotkova et al 2021).…”

Section: Uptake Of Metadata-related Featuresmentioning

confidence: 99%

“…Researchers in other fieldwork domains, such as ecology, have long recognised that 'important information about [data's] origins, context, and provenance may be lost' if long-term archival considerations are not considered early in the research lifecycle (Wallis et al 2008). The FAIR Data Principles have now begun to shape discussion of field data capture in archaeology (Lindsay and Kong 2020;Sobotkova et al 2021). Creating FAIR data early in the data lifecycle, however, requires planning from the beginning of a project (Niven 2011a;Whitmore and Dennis 2019), as well as a willingness on the part of researchers to invest time and resources to implement these plans.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

FAIRer Data through Digital Recording: The FAIMS Mobile Experience

Ross

Ballsun-Stanton

Cassidy

et al. 2022

Journal of Computer Applications in Archaeology

Self Cite

View full text Add to dashboard Cite

Critical data and metadata must be captured or created in the field, or shortly thereafter, to avoid loss. For the past 10 years, the Field Acquired Information Management Systems (FAIMS) project has developed and operated a customisable field data capture platform. Over time, we built features and approaches that incorporated the Findable, Accessible, Interoperable, and Reusable (FAIR) principles into born-digital datasets created during fieldwork. This paper synthesises our experience helping more than 40 projects adapt the FAIMS platform to nearly 70 research workflows in archaeology and other fieldwork domains. We review what elements of the FAIR Data Principles FAIMS was able to build into our software, how users received these capabilities, and what sociotechnical challenges impeded creation of FAIRer field data. Based on our experience, we argue that field data capture software can facilitate the production of FAIRer data, making those data much more Findable and Reusable, and somewhat more Accessible and Interoperable. Any such improvements, however, depend upon (1) making FAIR-data features an integral part of field data collection systems, minimising the burden imposed on researchers, and (2) researchers' willingness to spend time and resources implementing FAIR Data Principles that do not provide immediate benefits to their research.

show abstract

Section: The Faims Project and Faims Mobile Platformmentioning

confidence: 99%

Section: Local Vocabulariesmentioning

confidence: 99%

Section: Uptake Of Metadata-related Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

FAIRer Data through Digital Recording: The FAIMS Mobile Experience

Ross

Ballsun-Stanton

Cassidy

et al. 2022

Journal of Computer Applications in Archaeology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The generic mobile collection platform developed for field data collection needs to support users who are collecting data in various field collection scenarios. Various application scenarios mean a generic mobile collection platform must support those working under diverse environmental conditions and collect structurally varied spatial data [28]. Based on the existing research, environmental conditions include different network environments, common operating platforms, various basemap formats, and so on [29,30].…”

Section: Introductionmentioning

confidence: 99%

Establishing a Generic Geographic Information Collection Platform for Heterogeneous Data

Liu,

Li,

Chen

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

Geographic information collection platforms are widely used for acquiring geographic information. However, existing geographic information collection platforms have limited adaptability and configurability, negatively affecting their usability. They do not support complete field collection workflows or capture data with complex nested structures. To address these limitations, this paper proposes a generic geographic information collection platform based on a comprehensive XML schema definition and a corresponding XML toolkit. This platform includes professional and non-professional versions of collection software, as well as a management system. Users can configure controls and define nested tables within this platform to collect heterogeneous and complex nested data. Moreover, the platform supports functions such as task assignment, local deployment servers, multitasking parallelism, and summary statistics of heterogeneous data, ensuring complete workflow support for field data collection. The platform has been applied in agriculture, forestry, and related fields. This paper uses the agricultural industry structure survey as a case study. Practical applications and our case study show that this platform can reduce software development costs, lower user knowledge prerequisites, and fulfill 95% of geographic information collection scenarios.

show abstract

Rethinking Hybrid Teaching in the South African Higher Education System: Promoting Equity and Epistemic Justice

Chiramba,

Maringe

2023

Online Teaching and Learning in the COVID-19 Era

View full text Add to dashboard Cite

Deploying an Offline, Multi-User, Mobile System for Digital Recording in the Perachora Peninsula, Greece

Cited by 5 publications

References 29 publications

FAIRer Data through Digital Recording: The FAIMS Mobile Experience

FAIRer Data through Digital Recording: The FAIMS Mobile Experience

Establishing a Generic Geographic Information Collection Platform for Heterogeneous Data

Rethinking Hybrid Teaching in the South African Higher Education System: Promoting Equity and Epistemic Justice

Contact Info

Product

Resources

About