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•The Research Electronic Data Capture (REDCap) data platform launched in 2004.•The REDCap Consortium is the community of REDCap administrators and organizations.•The REDCap Consortium ...grew from local to international impact in six phases.•REDCap partners include 3207 organizations in 128 countries as of December 2018.•Our consortium-building lessons should help the research informatics community.
The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the “REDCap Consortium” model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
We investigate UAV-IoT data capture and networking for remote scene virtual reality (VR) immersion. We characterize the delivered immersion fidelity as a function of the assigned UAV-IoT ...capture/network rates and study the optimization problem of maximizing it, for given system/application constraints. We explore fast reinforcement learning to discover the best dynamic UAV-IoT network placement over the scene of interest to maximize the expected remote immersion fidelity. We design scalable source-channel viewpoint coding to maximize the expected reconstruction fidelity of the data captured at every UAV location at the ground-based aggregation point. Finally, we explore layered directional networking and rate-distortion-power optimized embedded scheduling methods to effectively transmit the encoded data and overcome network transients that lead to packet buffering, which represent the fourth system component of our framework. Experimental results demonstrate considerable performance efficiency gains enabled by each system component over the respective state-of-the-art reference methods, in delivered VR immersion fidelity, application interactivity/play-out latency, and transmission power consumption.
Background
The Opioid Analgesic Reduction Study is a double-blind, prospective, clinical trial investigating analgesic effectiveness in the management of acute post-surgical pain after impacted third ...molar extraction across five clinical sites. Specifically, Opioid Analgesic Reduction Study examines a commonly prescribed opioid combination (hydrocodone/acetaminophen) against a non-opioid combination (ibuprofen/acetaminophen). The Opioid Analgesic Reduction Study employs a novel, electronic infrastructure, leveraging the functionality of its data management system, Research Electronic Data Capture, to not only serve as its data reservoir but also provide the framework for its quality management program.
Methods
Within the Opioid Analgesic Reduction Study, Research Electronic Data Capture is expanded into a multi-function management tool, serving as the hub for its clinical data management, project management and credentialing, materials management, and quality management. Research Electronic Data Capture effectively captures data, displays/tracks study progress, triggers follow-up, and supports quality management processes.
Results
At 72% study completion, over 12,000 subject data forms have been executed in Research Electronic Data Capture with minimal missing (0.15%) or incomplete or erroneous forms (0.06%). Five hundred, twenty-three queries were initiated to request clarifications and/or address missing data and data discrepancies.
Conclusion
Research Electronic Data Capture is an effective digital health technology that can be maximized to contribute to the success of a clinical trial. The Research Electronic Data Capture infrastructure and enhanced functionality used in Opioid Analgesic Reduction Study provides the framework and the logic that ensures complete, accurate, data while guiding an effective, efficient workflow that can be followed by team members across sites. This enhanced data reliability and comprehensive quality management processes allow for better preparedness and readiness for clinical monitoring and regulatory reporting.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
The Event Horizon Telescope (EHT) is a very long baseline interferometry (VLBI) array that comprises millimeter- and submillimeter-wavelength telescopes separated by distances comparable to the ...diameter of the Earth. At a nominal operating wavelength of ∼1.3 mm, EHT angular resolution (λ/D) is ∼25 as, which is sufficient to resolve nearby supermassive black hole candidates on spatial and temporal scales that correspond to their event horizons. With this capability, the EHT scientific goals are to probe general relativistic effects in the strong-field regime and to study accretion and relativistic jet formation near the black hole boundary. In this Letter we describe the system design of the EHT, detail the technology and instrumentation that enable observations, and provide measures of its performance. Meeting the EHT science objectives has required several key developments that have facilitated the robust extension of the VLBI technique to EHT observing wavelengths and the production of instrumentation that can be deployed on a heterogeneous array of existing telescopes and facilities. To meet sensitivity requirements, high-bandwidth digital systems were developed that process data at rates of 64 gigabit s−1, exceeding those of currently operating cm-wavelength VLBI arrays by more than an order of magnitude. Associated improvements include the development of phasing systems at array facilities, new receiver installation at several sites, and the deployment of hydrogen maser frequency standards to ensure coherent data capture across the array. These efforts led to the coordination and execution of the first Global EHT observations in 2017 April, and to event-horizon-scale imaging of the supermassive black hole candidate in M87.
This paper examines attention checks and manipulation validations to detect inattentive respondents in primary empirical data collection. These prima facie attention checks range from the simple such ...as reverse scaling first proposed a century ago to more recent and involved methods such as evaluating response patterns and timed responses via online data capture tools. The attention check validations also range from easily implemented mechanisms such as automatic detection through directed queries to highly intensive investigation of responses by the researcher. The latter has the potential to introduce inadvertent researcher bias as the researcher's judgment may impact the interpretation of the data. The empirical findings of the present work reveal that construct and scale validations show consistently significant improvement in the fit statistics—a finding of great use for researchers working predominantly with scales and constructs for their empirical models. However, based on the rudimentary experimental models employed in the analysis, attention checks generally do not show a consistent, systematic improvement in the significance of test statistics for experimental manipulations. This latter result indicates that, by their very nature, attention checks may trigger an inherent trade-off between loss of sample subjects—lowered power and increased Type II error—and the potential of capitalizing on chance alone—the possibility that the previously significant results were in fact the result of Type I error. The analysis also shows that the attrition rates due to attention checks—upwards of 70% in some observed samples—are far larger than typically assumed. Such loss rates raise the specter that studies not validating attention may inadvertently increase their Type I error rate. The manuscript provides general guidelines for various attention checks, discusses the psychological nuances of the methods, and highlights the delicate balance among incentive alignment, monetary compensation, and the subsequently triggered mood of respondents.
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FZAB, GIS, IJS, IMTLJ, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
Emerging technologies for biological recording August, Tom; Harvey, Martin; Lightfoot, Paula ...
Biological Journal of the Linnean Society/Biological journal of the Linnean Society,
July 2015, Volume:
115, Issue:
3
Journal Article
Light Field Image Processing: An Overview Gaochang Wu; Masia, Belen; Jarabo, Adrian ...
IEEE journal of selected topics in signal processing,
10/2017, Volume:
11, Issue:
7
Journal Article
Peer reviewed
Open access
Light field imaging has emerged as a technology allowing to capture richer visual information from our world. As opposed to traditional photography, which captures a 2D projection of the light in the ...scene integrating the angular domain, light fields collect radiance from rays in all directions, demultiplexing the angular information lost in conventional photography. On the one hand, this higher dimensional representation of visual data offers powerful capabilities for scene understanding, and substantially improves the performance of traditional computer vision problems such as depth sensing, post-capture refocusing, segmentation, video stabilization, material classification, etc. On the other hand, the high-dimensionality of light fields also brings up new challenges in terms of data capture, data compression, content editing, and display. Taking these two elements together, research in light field image processing has become increasingly popular in the computer vision, computer graphics, and signal processing communities. In this paper, we present a comprehensive overview and discussion of research in this field over the past 20 years. We focus on all aspects of light field image processing, including basic light field representation and theory, acquisition, super-resolution, depth estimation, compression, editing, processing algorithms for light field display, and computer vision applications of light field data.
The purpose of this study is to empirically test an integrative model linking tourists’ emotional experiences, perceived overall image, satisfaction, and intention to recommend. The model was tested ...using data collected from domestic tourists visiting Sardinia, Italy. Results show that tourists’ emotional experiences act as antecedents of perceived overall image and satisfaction evaluations. In addition, overall image has a positive influence on tourist satisfaction and intention to recommend. The study expands current theorizations by examining the merits of emotions in tourist behavior models. From a practical perspective, the study offers important implications for destination marketers.
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NUK, OILJ, SAZU, UKNU, UL, UM, UPUK
Abstract
Agricultural product traceability has become increasingly important. Emerging digital technologies, like blockchain technology, can facilitate supply-chain data capture and exchange across ...all segments of the industry. To better understand stakeholder perceptions and willingness to share digital production records using blockchain technology, a digital survey was conducted across sheep industry stakeholders. During January of 2021-2022, a 25-question, online survey was conducted to capture U.S. sheep industry producer and processor perceptions. Survey data included 66 responses, where 84.8%, (n = 56) were sheep and lamb producers and 15.2%, (n = 10) were involved in wool warehousing and processing. A continuous line scale anchored at 0 (not familiar) and 100 (very familiar) was used to assess familiarity with blockchain technology (Table 1). Lamb and wool producers were somewhat familiar with blockchain technology (mean = 43.00, n = 40 completed responses), while wool warehousers and processors answered similarly (mean = 40.40, n = 9 completed responses). Stakeholders were also asked to determine their desired monetary premium (% over base price) to submit records into a blockchain system. Wool and lamb producers were asked what level of premium they would need to receive in order to submit records into the blockchain system, 89% (n = 75) of wool and lamb producers indicated they would need at least a 4.1% premium over base price, while 60% (n = 6) of wool processing respondents were willing to pay producers a 4.1% or higher premium for access to records on the blockchain system. Producers and wool processors are somewhat familiar with blockchain technology as a traceability mechanism, and they are willing to implement this technology if there is incentive available in the market. A greater understanding of the economic value, opportunity, and implications that blockchain technology brings to the market is important in determining if the right incentives are available to integrate this technology into the U.S. sheep industry.
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