scholarly journals Applications for data collection: AppDatCol

Author(s):  
Anuj Pandey ◽  
Surachna . ◽  
Sidharth Sekhar Mishra

Health surveillance or routine health surveys are the main sources of health-related information in developing countries. The need to support the paper process and the recent advanced popularity of mobile devices fortified the development and use of electronic data collection methods in community health and clinical research works. Data collection apps are mobile applications that make it possible to collect data from a smartphone, tablet, or iPad. The main objective of this article is to explore different type of applications easily available for using as a tool for data collection purpose. This article will brief about software’s that are easily available to be customized and can be used for data collection. Mobile data collection apps are becoming integral to secure, reliable, and scalable research. The efficiency and dependability of these mobile survey apps, even in offline settings, open doors to new research possibilities. It begins with the freedom and adaptability of designing research-specific forms that work even in the most challenging environments. Sharing experiences of the barriers and distinct benefits of this technology will help future users to be better informed and allow for the swifter adoption of these and similar technologies. Although any digital form may suffice for the purpose of data gathering, not every data collection system may be used for sensitive, clinical or research data. We believe that Teamscope and CSPro stands out in the mobile data collection landscape and is the best choice for research purposes. No other application combines data encryption, passcode lock, cross-device compatibility with iOS and android, support for both cross sectional and longitudinal studies, like these applications does.

2017 ◽  
Vol 2017 (1) ◽  
pp. 2017213
Author(s):  
Isaac Oshima ◽  
Seth Paine ◽  
Judd Muskat

The California Department of Fish and Wildlife, Office of Spill Prevention and Response (OSPR) since its inception in 1991 has been collecting SCAT (Shoreline Cleanup Assessment Technique) data. OSPR, collects SCAT data based upon the SCAT forms developed by the National Oceanic and Atmospheric Administration (NOAA). Processing SCAT paper forms is a time consuming process which includes manual transcription which can be prone to error. Beginning in 2009, OSPR began using an electronic data collection application from EPDS called, Pocket SCAT®. OSPR had scheduled exercises and our last maintenance and upgrade purchase was in 2011. Despite this, when the Refugio Spill occurred on May 19th 2015; because of ongoing issues with Pocket SCAT® and equipment, the decision was made to revert back to using paper forms. SCAT data collection and processing, once again was a time consuming process and error prone. OSPR's experience with SCAT paper forms, Pocket SCAT®, Refugio and other spills, and its recent in-house development and completion of an iOS Wildlife Recovery app culminated into the decision to create its own iOS SCAT app called, “SCATalogue”. This poster presents SCATalogue's current status, features, design considerations, inherent technology limitations and their mitigations, and envisioned future revisions. Presented herein, also a diagram of SCATalogue's place in the greater SCAT workflow such as the backend database, integration with the Common Operational Picture (COP), and other applications and technologies used to facilitate integration.


2021 ◽  
pp. 3262-3264
Author(s):  
Alexander Seifert ◽  
Gabriella M. Harari

Sign in / Sign up

Export Citation Format

Share Document