A proposed integrated data collection, analysis and sharing platform for impact evaluation

Kipf, Andreas; Brunette, Waylon; Kellerstrass, Jordan; Podolsky, Matthew; Rosa, Javier; Sundt, Mitchell; Wilson, Daniel; Borriello, Gaetano; Brewer, Eric; Thomas, Evan

doi:10.1016/j.deveng.2015.12.002

Cited by 17 publications

(18 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…-To propose new tools compatible with the ODK suite or with the ODK-X suite [20], [21], [22], [23], [24]; -To make improvements to a single component of the ODK suite or the ODK-X suite, without having to touch all the others [25], [26]; -To use one or some of the components of the ODK or ODK-X suite without having to use the whole suite. The tools of the two suites can even be used with other technologies that do not belong to ODK [31], [32], [34], [38], [40], [41]; -To extend a component of the ODK or ODK-X suite by adding new functionalities and then to use this extension with the other components of the suite [27], [28], [29].…”

Section: Table-iii: Studied Articles By Themementioning

confidence: 99%

“…5 [20], [21], [22], [23], [24], [25], [26] Improvement or Creation of a new component of the ODK tool suite. 7 [27], [28], [29] Proposal for an ODK extension.…”

Section: Referencesmentioning

confidence: 99%

“…The first is the addition of the concept of pre-filled forms using previously collected data. The second is the addition of the feature of sending data by SMS; -Mezuri [28]: An extension of ODK 2.0 (ODK-X).…”

Section: Fig 3: Rate Of Papers By Application Area Of Odkmentioning

confidence: 99%

See 2 more Smart Citations

Open Data Kit: Mobile Data Collection Framework For Developing Countries

Bokonda¹,

Ouazzani-Touhami²,

Souissi³

2019

IJITEE

View full text Add to dashboard Cite

To evaluate and improve the delivery of health care services and programs; to collect and share information on agro-biodiversity; to fill the gaps in the data of artisanal or industrial fisheries, the use of computer tools of data collection is a major asset. It is now obvious that most of these tools are difficult to use in developing countries. And this is because of the complexity of use, either because they are commercial solutions or simply because these tools require a stable internet connection. This study is the result of thorough research on Open Data Kit (ODK), a suite of tools fully compatible with the context of developing countries and fully open source software. This article traces the research work done for the design, implementation, and improvement of ODK. A description of the different ODK extensions that can be found in the literature is given in addition to the reasons that explain the success of ODK in developing countries. To highlight the utility of ODK, an analysis of the areas of use of ODK has been made. This analysis concludes that ODK is mainly used to improve the intervention effectiveness of health system agents in developing countries.

show abstract

Section: Table-iii: Studied Articles By Themementioning

confidence: 99%

“…5 [20], [21], [22], [23], [24], [25], [26] Improvement or Creation of a new component of the ODK tool suite. 7 [27], [28], [29] Proposal for an ODK extension.…”

Section: Referencesmentioning

confidence: 99%

See 1 more Smart Citation

Open Data Kit: Mobile Data Collection Framework For Developing Countries

Bokonda¹,

Ouazzani-Touhami²,

Souissi³

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…Numerous platforms for sharing scientific data exist such as Mezuri (Kipf et al 2016), DHIS2 (Manya et al 2012), Open Foris (Miceli et al 2011), Conveyor (Linke et al (Hull et al 2006), Kepler (Altintas et al 2004). Those systems authorize the provision of previously anonymized data and with the prior consent of the owner of the data.…”

Section: Novel Architectures Options For Cloud Storage Platformsmentioning

confidence: 99%

Cloud services integration for farm animals’ behavior studies based on smartphones as activity sensors

Debauche

Mahmoudi

Andriamandroso

et al. 2018

J Ambient Intell Human Comput

View full text Add to dashboard Cite

Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users' movements, but they can easily be diverted to analyze likewise the behaviors of domestic animals such as cattle. The study of animal behavior using smartphones requires the storage of many high frequency variables from a large number of individuals and their processing through various relevant variables combinations for modeling and decision-making. Transferring, storing, treating and sharing such an amount of data is a big challenge. In this paper, a lambda cloud architecture innovatively coupled to a scientific sharing platform used to archive, and process high-frequency data are proposed to integrate future developments of the Internet of Things applied to the monitoring of domestic animals. An application to the study of cattle behavior on pasture based on the data recorded with the IMU of iPhone 4s is exemplified. Performances comparison between iPhone 4s and iPhone 5s is also achieved. The package comes also with a web interface to encode the actual behavior observed on videos and to synchronize observations with the sensor signals. Finally, the use of Edge computing on the iPhone reduced by 43.5% on average the size of the raw data by eliminating redundancies. The limitation of the number of digits on individual variable can reduce data redundancy up to 98.5%.

show abstract

“…Geocene consists of (1) a sensing platform that accepts multiple sensors for different parameters and includes a Bluetooth radio for communication with mobile devices; (2) inbuilt survey and metadata management; and (3) cloud-based, customizable analysis tools to translate raw sensor data into meaningful study metrics. In prior work [18], a multidisciplinary team of researchers envisioned a "proposed integrated data collection, analysis, and sharing platform for impact evaluation"; the Geocene platform makes significant progress towards realizing many aspects of that vision.…”

mentioning

confidence: 99%

An Integrated Sensor Data Logging, Survey, and Analytics Platform for Field Research and Its Application in HAPIN, a Multi-Center Household Energy Intervention Trial

2020

View full text Add to dashboard Cite

Researchers rely on sensor-derived data to gain insights on numerous human behaviors and environmental characteristics. While commercially available data-logging sensors can be deployed for a range of measurements, there have been limited resources for integrated hardware, software, and analysis platforms targeting field researcher use cases. In this paper, we describe Geocene, an integrated sensor data logging, survey, and analytics platform for field research. We provide an example of Geocene's ongoing use in the Household Air Pollution Intervention Network (HAPIN). HAPIN is a large, multi-center, randomized controlled trial evaluating the impacts of a clean cooking fuel and stove intervention in Guatemala, India, Peru, and Rwanda. The platform includes Bluetooth-enabled, data-logging temperature sensors; a mobile application to survey participants, provision sensors, download sensor data, and tag sensor missions with metadata; and a cloud-based application for data warehousing, visualization, and analysis. Our experience deploying the Geocene platform within HAPIN suggests that the platform may have broad applicability to facilitate sensor-based monitoring and evaluation efforts and projects. This data platform can unmask heterogeneity in study participant behavior by using sensors that capture both compliance with and utilization of the Sustainability 2020, 12, 1805 2 of 15 intervention. Platforms like this could help researchers measure adoption of technology, collect more robust intervention and covariate data, and improve study design and impact assessments.

show abstract

A proposed integrated data collection, analysis and sharing platform for impact evaluation

Cited by 17 publications

References 13 publications

Open Data Kit: Mobile Data Collection Framework For Developing Countries

Open Data Kit: Mobile Data Collection Framework For Developing Countries

Cloud services integration for farm animals’ behavior studies based on smartphones as activity sensors

An Integrated Sensor Data Logging, Survey, and Analytics Platform for Field Research and Its Application in HAPIN, a Multi-Center Household Energy Intervention Trial

Contact Info

Product

Resources

About