Bringing Home the Bacon: Infusing Evaluation Best Practices into Grant Proposals

EDIS ◽  
2020 ◽  
Vol 2020 (1) ◽  
pp. 4
Author(s):  
Glenn Israel ◽  
Jaclyn D Kropp ◽  
David C Diehl ◽  
Conner Mullally ◽  
Sebastian Galindo
Keyword(s):  
Best Practices ◽  
Agricultural Education ◽  
Federal Agency ◽  
Project Team ◽  
Evaluation Plan ◽  
Grant Proposals

Proposals possessing sound and well-funded evaluation plans are normally stronger and have greater chances of being funded. This new 4-page publication of the UF/IFAS Department of Agricultural Education and Communication shares information the authors learned during a series of meetings with federal agency program officers and evaluators about best practices for grant proposals. The practices encompass two broad categories: incorporating evaluation expertise into the project team and building a sound project rationale and evaluation plan. By adopting these practices, you will enhance the quality of your proposals; you will most likely increase the amount of extramural funding that is secured; and you will elevate the visibility and impact of programs within your organization. Written by Glenn Israel, Jaclyn D. Kropp, David C. Diehl, Conner Mullally, and Sebastian Galindo.https://edis.ifas.ufl.edu/wc350

PROFESSIONAL TRAINING OF ELECTRONICS ENGINEERS: APPLYING US EXPERICENCE TO UKRAINAN HIGHER EDUCATION INSTITUTIONS

2020 ◽  
pp. 80-85
Author(s):  
Olha Pavlenko
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Best Practices ◽  
Cost Reduction ◽  
Professional Training ◽  
Higher Education Institutions ◽  
Academic Staff ◽  
Research And Innovation ◽  
Current State

The article discusses the current state of professional training of engineers, in particular, electronics engineers in Ukrainian higher education institutions (HEIs) and explores best practices from US HEIs. The research outlines the features of professional training of electronics engineers and recent changes in Ukrainian HEIs. Such challenges for Ukrainian HEIs as lack of collaboration between higher education and science with industry, R&D cost reduction for HEIs, and downsizing the research and academic staff, the disparity between the available quality of human capital training and the demanded are addressed. The study attempts to identify successful practices of US HEIs professional training of engineers in order to suggest potential improvements in education, research, and innovation for training electronics engineers in Ukraine.

Evaluating Qualitative Research

2017 ◽  
Author(s):  
Jeasik Cho
Keyword(s):  
Qualitative Research ◽  
Large Scale ◽  
Academic Research ◽  
Research Community ◽  
Assessment Tools ◽  
Journal Articles ◽  
Journal Editors ◽  
The Past ◽  
Grant Proposals

This book provides the qualitative research community with some insight on how to evaluate the quality of qualitative research. This topic has gained little attention during the past few decades. We, qualitative researchers, read journal articles, serve on masters’ and doctoral committees, and also make decisions on whether conference proposals, manuscripts, or large-scale grant proposals should be accepted or rejected. It is assumed that various perspectives or criteria, depending on various paradigms, theories, or fields of discipline, have been used in assessing the quality of qualitative research. Nonetheless, until now, no textbook has been specifically devoted to exploring theories, practices, and reflections associated with the evaluation of qualitative research. This book constructs a typology of evaluating qualitative research, examines actual information from websites and qualitative journal editors, and reflects on some challenges that are currently encountered by the qualitative research community. Many different kinds of journals’ review guidelines and available assessment tools are collected and analyzed. Consequently, core criteria that stand out among these evaluation tools are presented. Readers are invited to join the author to confidently proclaim: “Fortunately, there are commonly agreed, bold standards for evaluating the goodness of qualitative research in the academic research community. These standards are a part of what is generally called ‘scientific research.’ ”

Best Practices for Improving the Quality of Individual Case Safety Reports in Pharmacovigilance

2016 ◽  
Vol 50 (4) ◽  
pp. 464-471 ◽  
Author(s):  
Rishi Kumar ◽  
Pranay Kumar ◽  
Vivekanandan Kalaiselvan ◽  
Ismeet Kaur ◽  
G. N. Singh
Keyword(s):  
Best Practices ◽  
Individual Case

scholarly journals The un Guidelines on the Use of Armed Guards

2014 ◽  
Vol 16 (4) ◽  
pp. 475-491 ◽  
Author(s):  
Elke Krahmann
Keyword(s):  
Best Practices ◽  
Academic Research ◽  
Private Security ◽  
Security Services ◽  
Security Industry ◽  
Private Security Companies ◽  
New Guidelines ◽  
The Military ◽  
Industry Associations

In 2012, the United Nations approved new Guidelines on the Use of Armed Private Security Companies by its agencies, funds and programmes. The Guidelines hold the potential to not only enhance the quality of armed security services contracted by the un, but also raise professional standards within the military and security industry more generally by serving as a model for other consumers and companies. Nevertheless, a close reading of the Guidelines indicates that there is still room for improvements. Drawing on best practices identified by industry associations, major clients and academic research, this article makes six recommendations for revision. Specifically, the article contends that expanding the scope, content and enforcement of the Guidelines would contribute to strengthening the control over private security contractors.

scholarly journals Good practices in collecting umbilical cord and placental blood

2016 ◽  
Vol 24 (0) ◽  
Author(s):  
Lauren Auer Lopes ◽  
Elizabeth Bernardino ◽  
Karla Crozeta ◽  
Paulo Ricardo Bittencourt Guimarães
Keyword(s):  
Best Practices ◽  
Umbilical Cord ◽  
Management Tool ◽  
Blood Collection ◽  
Placental Blood ◽  
Operational Factors ◽  
Blood Specimens ◽  
Definition Of ◽  
Gathering Data

Abstract Objective: to identify the factors related to the quality of umbilical cord and placental blood specimens, and define best practices for their collection in a government bank of umbilical cord and placental blood. Method: this was a descriptive study, quantitative approach, performed at a government umbilical cord and placental blood bank, in two steps: 1) verification of the obstetric, neonatal and operational factors, using a specific tool for gathering data as non-participant observers; 2) definition of best practices by grouping non-conformities observed before, during and after blood collection. The data was analyzed using descriptive statistics and the following statistical software: Statistica(r) and R(r). Results: while there was a correlation with obstetrical and neonatal factors, there was a larger correlation with operational factors, resulting in the need to adjust the professional practices of the nursing staff and obstetrical team involved in collecting this type of blood. Based on these non-conformities we defined best practices for nurses before, during and after blood collection. Conclusion: the best practices defined in this study are an important management tool for the work of nurses in obtaining blood specimens of high cell quality.

scholarly journals Trends and Developments in Bioinformatics in 2010: Prospects and Perspectives

2011 ◽  
Vol 20 (01) ◽  
pp. 146-155
Author(s):  
A. V. Alekseyenko ◽  
Y. Aphinyanaphongs ◽  
S. Brown ◽  
D. Fenyo ◽  
L. Fu ◽  
...  
Keyword(s):  
Best Practices ◽  
Open Problems ◽  
The Past ◽  
New Methods ◽  
Methods Development ◽  
Long Term Trends ◽  
To Come ◽  
Generation Sequencing

SummaryTo survey major developments and trends in the field of Bioinformatics in 2010 and their relationships to those of previous years, with emphasis on long-term trends, on best practices, on quality of the science of informatics, and on quality of science as a function of informatics.A critical review of articles in the literature of Bioinformatics over the past year.Our main results suggest that Bioinformatics continues to be a major catalyst for progress in Biology and Translational Medicine, as a consequence of new assaying technologies, most predominantly Next Generation Sequencing, which are changing the landscape of modern biological and medical research. These assays critically depend on bioinformatics and have led to quick growth of corresponding informatics methods development. Clinical-grade molecular signatures are proliferating at a rapid rate. However, a highly publicized incident at a prominent university showed that deficiencies in informatics methods can lead to catastrophic consequences for important scientific projects. Developing evidence-driven protocols and best practices is greatly needed given how serious are the implications for the quality of translational and basic science.Several exciting new methods have appeared over the past 18 months, that open new roads for progress in bioinformatics methods and their impact in biomedicine. At the same time, the range of open problems of great significance is extensive, ensuring the vitality of the field for many years to come.

scholarly journals A Review of AI and Data Science Support for Cancer Management

2020 ◽  
Author(s):  
E. Parimbelli ◽  
S. Wilk ◽  
R. Cornet ◽  
P. Sniatala ◽  
K. Sniatala ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Decision Support ◽  
Best Practices ◽  
Cancer Patients ◽  
Predictive Modeling ◽  
Data Science ◽  
Cancer Management ◽  
Research Challenges ◽  
Open Research

AbstractIntroductionThanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. We review the state-of-the-art of computerized systems that employ AI and Data Science methods to monitor the health status and provide support to cancer patients managed at home.ObjectiveOur main objective is to analyze the literature to identify open research challenges that a novel decision support system for cancer patients and clinicians will need to address, point to potential solutions, and provide a list of established best-practices to adopt.MethodsWe designed a review study, in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzing studies retrieved from PubMed related to monitoring cancer patients in their home environments via sensors and self-reporting: what data is collected, what are the techniques used to collect data, semantically integrate it, infer the patient’s state from it and deliver coaching/behavior change interventions.ResultsStarting from an initial corpus of 819 unique articles, a total of 180 papers were considered in the full-text analysis and 109 were finally included in the review. Our findings are organized and presented in four main sub-topics consisting of data collection, data integration, predictive modeling and patient coaching.ConclusionDevelopment of modern decision support systems for cancer needs to utilize best practices like the use of validated electronic questionnaires for quality-of-life assessment, adoption of appropriate information modeling standards supplemented by terminologies/ontologies, adherence to FAIR data principles, external validation, stratification of patients in subgroups for better predictive modeling, and adoption of formal behavior change theories. Open research challenges include supporting emotional and social dimensions of well-being, including PROs in predictive modeling, and providing better customization of behavioral interventions for the specific population of cancer patients.

scholarly journals "What is the Influence of Communication Quality Between the Business and IT Project Team on ERP Implementation Project Success?"

2021 ◽  
Author(s):  
◽  
Alexander Schnepel
Keyword(s):  
User Satisfaction ◽  
Project Success ◽  
System Development ◽  
Secondary Analysis ◽  
Project Team ◽  
Communication Quality ◽  
Erp Implementation ◽  
Implementation Project ◽  
It Project

<p>Communication between the information systems (IS) specialist and the user has long been recognised in the IS literature as an important aspect of successful information system development projects. Since the 1970s IS researchers have studied the role of communication in the system development process and its influence on project/system success. Communication has been studied as a broad concept as well as in regard to specific aspects such as communication frequency, quantity, and the fit between the communication medium and the task. Yet, quality has been neglected. Therefore, this study presents the concept of "communication quality". The study investigated the influence of communication quality on project success in an Enterprise Resource Planning system implementation at a large North-American manufacturing company. ERP project implementation success was assessed by a multidimensional framework including multiple stakeholder perspectives. The study used supplementary secondary analysis of 54 interviews with project stakeholders from the IT project team and the business side of this organisation. The current study found support for the individual attributes of communication quality, namely completeness, credibility, accuracy, purpose adequacy, timeliness, openness, audience adequacy, bidirectionality, and a balance of formality vs. informality. The study found indications that a lack of communication quality might impact ERP implementation project success negatively whereas better communication quality might foster success. The ERP project at the organisation was successful in terms of traditional project success measures such as "on time" and "within budget". However, communication quality seemed to have a negative correlation to the quality of the relationship between the project team and the business as well as user satisfaction. System acceptance and use appeared to have been facilitated by better communication quality. The study enriches the IS literature by increasing the understanding of communication aspects during ERP implementation projects. It is also one of the first studies to introduce the new research method of secondary analysis of qualitative data from sociology into the IS field. Practitioners can apply the findings of this study to facilitate ERP implementation project success on a more holistic level addressing also user satisfaction and the quality of the relationship between the IT project team and the rest of the business.</p>

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