Using the ArcGIS Collector Mobile App for Settlement Survey Data Collection in Armenia

2020 ◽  
Vol 8 (4) ◽  
pp. 322-336
Author(s):  
Ian Lindsay ◽  
Ningning Nicole Kong

AbstractRecent years have seen the rapid adoption of digital site recording strategies following the proliferation of GPS-enabled mobile devices and data collection apps. Much of the emerging literature on digital—or paperless—archaeology, however, has focused on excavation contexts, with fewer discussions of mobile-GIS solutions on archaeological survey. This article discusses the design and implementation of a site survey workflow based on Esri's ArcGIS Collector mobile app in the context of Project ArAGATS's Kasakh Valley Archaeology Survey in northwestern Armenia. The Collector app provides a simple, map-centric user interface that allows surveyors with little-to-no GIS experience to record site locations, enter attribute data on customized digital forms, and attach photographs. With a network connection, the Collector app instantly uploads site information as GIS data to the project geodatabase and refreshes the data across surveyors’ mobile devices. Although the Collector app lacks certain GIS features and requires an institutional Esri license, we found that the native integration with our project GIS and broad access to visualization and recording tools in the app made in-field decision-making and interpretation more collaborative and inclusive across the survey team.

Author(s):  
Michael C. Tuttle

Archaeological survey is fundamental to archaeological data collection. Underwater archaeology is developing and maturing as a discipline. The levels of technology available for investigations are variable depending on the objectives of surveys. Prior to entering the field, it is essential to do a complete desktop research, an in-office examination of available literature, and to develop a survey plan. This article describes different methods and the tools used for probing, which are used for examining subsurface features or defining the extent of a site. Remote sensing is an effective method to search for cultural material in a marine context. Once a general survey has located acoustic targets, magnetic anomalies, or other areas of interest, a predisturbance site survey of the targets may be conducted. Accurate positioning during a predisturbance investigation is critical. With an area survey complete or a predisturbance survey conducted, the next step in the archaeological process is excavation.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sujen Man Maharjan ◽  
Anubhuti Poudyal ◽  
Alastair van Heerden ◽  
Prabin Byanjankar ◽  
Ada Thapa ◽  
...  

Abstract Background Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assessed feasibility and acceptability of the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) platform. The StandStrong passive data collection platform was piloted with adolescent and young mothers, including mothers experiencing postpartum depression, in Nepal. Methods Mothers (15–25 years old) with infants (< 12 months old) were recruited in person from vaccination clinics in rural Nepal. They were provided with an Android smartphone and a Bluetooth beacon to collect data in four domains: the mother’s location using the Global Positioning System (GPS), physical activity using the phone’s accelerometer, auditory environment using episodic audio recording on the phone, and mother-infant proximity measured with the Bluetooth beacon attached to the infant’s clothing. Feasibility and acceptability were evaluated based on the amount of passive sensing data collected compared to the total amount that could be collected in a 2-week period. Endline qualitative interviews were conducted to understand mothers’ experiences and perceptions of passive data collection. Results Of the 782 women approached, 320 met eligibility criteria and 38 mothers (11 depressed, 27 non-depressed) were enrolled. 38 mothers (11 depressed, 27 non-depressed) were enrolled. Across all participants, 5,579 of the hour-long data collection windows had at least one audio recording [mean (M) = 57.4% of the total possible hour-long recording windows per participant; median (Mdn) = 62.6%], 5,001 activity readings (M = 50.6%; Mdn = 63.2%), 4,168 proximity readings (M = 41.1%; Mdn = 47.6%), and 3,482 GPS readings (M = 35.4%; Mdn = 39.2%). Feasibility challenges were phone battery charging, data usage exceeding prepaid limits, and burden of carrying mobile phones. Acceptability challenges were privacy concerns and lack of family involvement. Overall, families’ understanding of passive sensing and families’ awareness of potential benefits to mothers and infants were the major modifiable factors increasing acceptability and reducing gaps in data collection. Conclusion Per sensor type, approximately half of the hour-long collection windows had at least one reading. Feasibility challenges for passive sensing on mobile devices can be addressed by providing alternative phone charging options, reverse billing for the app, and replacing mobile phones with smartwatches. Enhancing acceptability will require greater family involvement and improved communication regarding benefits of passive sensing for psychological interventions and other health services. Registration International Registered Report Identifier (IRRID): DERR1-10.2196/14734


2021 ◽  
Vol 7 (s1) ◽  
Author(s):  
Nathalie Entringer ◽  
Peter Gilles ◽  
Sara Martin ◽  
Christoph Purschke

Abstract The mobile app Schnëssen establishes a digital and participatory research platform to collect data on present-day spoken Luxembourgish through crowdsourcing and to present the results of data analysis to the general public. Users can participate in different kinds of audio recording tasks (translation, picture naming, reading, question) as well as in sociolinguistic surveys. All audio recordings are accessible to the public via an interactive map, which allows the participants to explore variation in Luxembourgish themselves. In the first year of data collection, roughly 210.000 recordings have be collected covering numerous variation phenomena on all linguistic levels. Additionally, over 2800 sociolinguistic questionnaires have been filled out. Compiling such amounts of data, the Schnëssen app represents the largest research corpus of spoken Luxembourgish.


2016 ◽  
Vol 155 (1) ◽  
pp. 28-32 ◽  
Author(s):  
Walter T. Lee ◽  
David L. Witsell ◽  
Kourosh Parham ◽  
Jennifer J. Shin ◽  
Nikita Chapurin ◽  
...  

Objectives (1) Compare postoperative bleeding in the CHEER network (Creating Healthcare Excellence through Education and Research) among age groups, diagnoses, and practice types. (2) Report the incidence of bleeding by individual CHEER practice site based on practice guidelines. Study Design Retrospective data collection database review of the CHEER network based on ICD-9 and CPT codes related to tonsillectomy patients. Setting Multisite practice–based network. Subjects and Methods A total of 8347 subjects underwent tonsillectomy as determined by procedure code within the retrospective data collection database, and 107 had postoperative hemorrhage. These subjects had demographic information and related diagnoses based on the CPT and ICD-9 codes collected. Postoperative ICD-9 and CPT codes were used to identify patients who also had postoperative bleed. Variables included age (<12 vs ≥12 years), diagnoses (infectious vs noninfectious), and practice type (community vs academic). Statistical analysis included multivariate logistic regression variables predictive of postoperative bleeding, with P < .05 considered significant. Results Thirteen sites contributed data to the study (7 academic, 6 community). There was postoperative bleeding for an overall bleed rate of 1.3%. Patients ≥12 years old had a significantly increased bleed rate when compared with the younger group (odds ratio, 5.98; 95% confidence interval: 3.79-9.44; P < .0001). There was no significant difference in bleed rates when practices or diagnoses were compared. Conclusion A site descriptor database built to expedite clinical research can be used for practice assessment and quality improvement. These data were also useful to identify patient risk factors for posttonsillectomy bleed.


Author(s):  
Renata Marques de Oliveira ◽  
Alexandre Freitas Duarte ◽  
Domingos Alves ◽  
Antonia Regina Ferreira Furegato

ABSTRACT Objective: to develop a mobile app for research on the use of tobacco among psychiatric patients and the general population. Method: applied research with the technological development of an app for data collection on an Android tablet. For its development, we considered three criteria: data security, benefits for participants and optimization of the time of researchers. We performed tests with twenty fictitious participants and a final test with six pilots. Results: the app collects data, stores them in the database of the tablet and export then to an Excel spreadsheet. Resources: calculator, stopwatch, offline operation, branching logic, field validation and automatic tabulation. Conclusion: the app prevents human error, increases the quality of the data by validating them during the interview, allows the performing of automatic tabulation and makes the interviews less tiring. Its success may encourage the use of this and other computational resources by nurses as a research tool.


2021 ◽  
Vol 2083 (3) ◽  
pp. 032023
Author(s):  
Le Zhang

Abstract Traditional data collection and review methods in power grid planning have always had the problems of time-consuming, poor real-time performance, and cumbersome processes. The application of mobile GIS solves the problems of data collection and review methods and makes more efficient use of mobile GIS terminal collection. The data of the mobile GIS solve the urgent problems that need to be solved since the popularization and application of mobile GIS. This system implements functions such as storage, transmission, and review based on mobile GIS data, which will greatly improve the efficiency of data collection by mobile terminals and reduce the cost of data collection. Realize the planning simulation of the power grid under the intelligent cycle of the whole scene.


Author(s):  
Yang Li ◽  
Allan J. Brimicombe

This chapter introduces the concept of Mobile Geographical Information Systems (Mobile GIS) as an evolution of conventional GIS to being available on wireless mobile devices such as smart phones. The evolution of the technology and its applications are charted in this chapter. The main elements of Mobile GIS are then discussed. This focuses on: GIS servers; wireless mobile telecommunication networks; wireless mobile devices; location-awareness technology; and gateway services. This is followed by a discussion of the main features in terms of the services and usage of Mobile GIS: mobility; real-time connectivity; location-awareness; broadened usage. Mobile Geographical Information Systems are an important facilitating technology for Location-Based Services (LBS). A range of applications of Mobile GIS for smart phones are described. The chapter closes with a discussion of the prospects and challenges for Mobile GIS. Challenges derive from four broad areas: limitations that derive from the technologies being used; areas of GIScience that still need to be adequately researched; users; and business models for a sustainable presence.


2020 ◽  
Vol 14 (4) ◽  
pp. 140-148
Author(s):  
Ifqut Shaheen ◽  
◽  
M. Ashraf Khan

Indian archaeology adopted sounder and viable conceptual tools for fieldwork in the later nineteenth century. The name of Sir Alexander Cunningham, the two times head of Archaeological Survey of India, is of special significance in this connection. This paper particularly focuses on his methods for archaeological survey and data collection. In the first place, Cunningham’s arrival into India has been traced. Next, his archaeological methods and approach have been delineated. It is followed by outlining what Cunningham did at Taxila especially in line with his conceptual understanding. Finally, all this has further been related to the intellectual environs of the time.


2021 ◽  
Author(s):  
Michael Reichold ◽  
Miriam Hess ◽  
Peter L. Kolominsky-Rabas ◽  
Elmar Gräßel ◽  
Hans-Ulrich Prokosch

BACKGROUND Digital registries have shown to provide an efficient way better to understand the clinical complexity and long-term progression of diseases. The paperless way of electronic data collection during a patient interview saves both: time and resources. In the prospective multicenter 'Digital Dementia Registry Bavaria - digiDEM Bayern', interviews are also conducted on-site in rural areas with unreliable internet connectivity. It must be ensured that electronic data collection can still be performed there, and it is no need to fall back on paper-based questionnaires. Therefore, the EDC system REDCap offers, in addition to a web-based data collection solution, the option to collect data offline via an app and synchronize it afterward. OBJECTIVE This study evaluates the usability of the REDCap app as an offline electronic data collection option for a lay user group and examines the necessary technology acceptance using mobile devices for data collection. Thereby, the feasibility of the app-based offline data collection in the dementia registry project was evaluated before going live. METHODS The study was conducted with an exploratory mixed-method in the form of an on-site usability test with the 'Thinking Aloud' method combined with a tailored semi-standardized online questionnaire including System Usability Score (SUS). The acceptance of mobile devices for the data collection was surveyed based on the technology acceptance model (TAM) with five categories. RESULTS Using the Thinking Aloud method, usability problems were identified and solutions were derived therefore. The evaluation of the REDCap app resulted in a SUS score of 74, which represents 'good' usability. After evaluating the technology acceptance questionnaire, it can be stated that the lay user group is open to mobile devices as interview tools. CONCLUSIONS The usability evaluation results show that a lay user group like the data collecting partners in the digiDEM project can handle the REDCap app well overall. The usability test provided statements about positive aspects and was able to identify usability problems of the REDCap app. In addition, the current technology acceptance in the sample showed that heterogeneous groups of different ages with different experiences in handling mobile devices are also ready for the use of app-based EDC systems. Based on the results, it can be assumed that the offline use of an app-based EDC system on mobile devices is a viable solution to collect data in a registry-based research project.


Author(s):  
Lin Foxhall

This chapter considers what a site survey might reveal about the appearance of a new class of small farmers in archaic Greece. It gives a brief history of the discipline and explains the strengths and limitations of using its findings for historical analysis. This study of eight survey projects across Greece, including Boeotia, the Argolid, Laconia, and Pylos, focuses on data for the Geometric through the Hellenistic periods. The chapter suggests that the archaeology tells us a different story than the historical record of citizens, soldiers, and property owners. The survey data show the rise of a densely populated countryside of small-scale farmers neither in the eighth century nor, universally, in the sixth century.


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