Information Overload: Processing Consultation Responses From Experts, Stakeholder Groups and Communities

Author(s):  
David Collier ◽  
Paula Orr

Contemporary approaches to the design and implementation of consultation programmes have come a long way from the days of ‘decide-announce-defend’. However success in expanding involvement and combining different participation methods, especially within a complex multi-phase programme, still poses major challenges. This paper discusses one of them: processing the much increased volume and variety of contributions received and then combining them with other forms of input in a rigorous, balanced, auditable and transparent manner. It is no longer sufficient, if indeed it every really was, for someone simply to work their way through a stack of comments with a highlighter, altering a draft text where he or she judged that clarification was required. We illustrate the nature of the challenge and the response of the Environment Agency of England and Wales by considering some specific issues, including the following. • Applicability of systematic approaches to text and transcript analysis; • Use of qualitative data management systems; • Transparency vs confidentiality; • Inconsistencies between stakeholder/public concerns and regulatory boundaries; • Integration of different types of input; • Deciding what to take into account; judging validity and weight; • Implications for quality management, documentation and resources; • Approaches to programme evaluation.

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.


2019 ◽  
Vol 14 (1) ◽  
pp. 10-23 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:A clinical data management system is a software supporting the data management process in clinical trials. In this system, the effective support of clinical data management dimensions leads to the increased accuracy of results and prevention of diversion in clinical trials. The aim of this review article was to investigate the dimensions of data management in clinical data management systems.Methods:This study was conducted in 2017. The used databases included Web of Science, Scopus, Science Direct, ProQuest, Ovid Medline and PubMed. The search was conducted over a period of 10 years from 2007 to 2017. The initial number of studies was 101 reaching 19 in the final stage. The final studies were described and compared in terms of the year, country and dimensions of the clinical data management process in clinical trials.Results:The research findings indicated that none of the systems completely supported the data management dimensions in clinical trials. Although these systems were developed for supporting the clinical data management process, they were similar to electronic data capture systems in many cases. The most significant dimensions of data management in such systems were data collection or entry, report, validation, and security maintenance.Conclusion:Seemingly, not sufficient attention has been paid to automate all dimensions of the clinical data management process in clinical trials. However, these systems could take positive steps towards changing the manual processes of clinical data management to electronic processes.


2019 ◽  
Vol 944 (2) ◽  
pp. 46-56
Author(s):  
S.A. Yamashkin ◽  
A.A. Yamashkin ◽  
O.A. Zarubin

The article is devoted to a detailed analysis of the problem of designing graphic geoportal interfaces. The authors formulated the basic points for solving problems in this field, having given the rationale and detailed description of each of them. The emphasis is made on the flexible arrangement of the design and development of interfaces, aiming at the future realities, at the human centricity of the interface design process, at the need for cross-platform adaptive web interfaces, at the preference to use proprietary and third-party software modules over the implementation of spatial data management systems. Lists of basic functional and quality requirements for graphical interfaces of geoportals are given. The geoportal “Natural and cultural heritage of Mordovia” is presented as an illustrative example of the various implementation of graphical user web interfaces. An experimental assessment of the effectiveness of measures to improve geoportal graphical interfaces is given. It is shown that properly over-thought interfaces of geoportal systems can contribute to solving various kinds of problems in many fields.


Author(s):  
Jacqueline M. Dewar

Chapter 4 provides an introduction to gathering data for scholarship of teaching and learning (SoTL) investigations, including the importance of triangulation, that is, collecting several different types of evidence. Examples are given of typical kinds of quantitative (numerical) and qualitative (non-numerical) data that might be used in a SoTL study. That quantitative and qualitative data are more closely related than it might seem at first is discussed. The taxonomy of SoTL questions—What works? What is? What could be?—provides a starting point for considering what type of data to collect. Suggestions are offered for ways to design assignments so that the coursework students produce can also serve as evidence, something that benefits both students and their instructor.


2020 ◽  
pp. 1-21
Author(s):  
Caroline Doyle

ABSTRACT In the last ten years, Medellín, Colombia has undergone significant socioeconomic improvements and a reduction in homicides. By drawing from qualitative data collected in Medellín, this article shows how, despite these improvements, residents in the marginalized neighborhoods maintain a perception that the state is unable or unwilling to provide them with services, such as employment and order or social control. Criminal gangs in these neighborhoods appear to rely on, and even exploit, the weakness of the state, as they are able to get citizens to perceive them as more reliable and legitimate than the state. This article argues that it is important for Latin American policymakers to promote citizen engagement in the design and implementation of policies to reduce current levels of violence.


Author(s):  
Cristina Portalés ◽  
Manolo Pérez ◽  
Pablo Casanova-Salas ◽  
Jesús Gimeno

Abstract3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and preservation. Related to historical fabrics, weaves and weaving techniques are still mostly represented in forms of 2D graphics and textual descriptions. However, complex geometries are difficult to represent in such forms, hindering the way this legacy is transmitted to new generations. In this paper, we present the design and implementation of SILKNOW’s Virtual Loom, an interactive tool aimed to document, preserve and represent in interactive 3D forms historical weaves and weaving techniques of silk fabrics, dating from the 15th to the 19th centuries. To that end, our tool only requires an image of a historical fabric. Departing from this image, the tool automatically subtracts the design, and allows the user to apply different weaves and weaving techniques. In its current version, the tool embeds five traditional weaving techniques, 39 weaves and six types of yarns, which have been defined thanks to close collaboration of experts in computer graphics, art history and historical fabrics. Additionally, users can change the color of yarns and produce different 3D representations for a given fabric, which are interactive in real time. In this paper, we bring the details of the design and implementation of this tool, focusing on the input data, the strategy to process images, the 3D modelling of yarns, the definition of weaves and weaving techniques and the graphical user interface. In the results section, we show some examples of image analysis in order to subtract the design of historical fabrics, and then we provide 3D representations for all the considered weaving techniques, combining different types of yarns.


Author(s):  
Marcus Paradies ◽  
Stefan Plantikow ◽  
Oskar van Rest

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