scholarly journals Sex, Gender, and Diversity Analysis in Research Policies of Major Public Granting Agencies: A Global Review

2021 ◽  
Author(s):  
Lilian Hunt ◽  
Londa Schiebinger

National research agencies are funded by taxpayer monies and, as such, are responsible for promoting excellent research that benefits all of society. Integrating sex, gender and diversity analysis (SG&DA) into the design of research, where relevant, can improve research methodology and provide new insights. To realize this potential, funding agencies have developed policies for integrating this type of analysis into the grant proposal process. This study reviews those policies for 23 agencies across six continents. Overall, one agency achieved superior performance, six agencies scored excellent performance, five showed average performance, two need some improvement and nine require improvement. Our study developed a five-part SG&DA policy roadmap for agencies and collected best practices across that guide. Standard practices, tailored as appropriate to country-specific cultures and regulatory landscapes, will enhance collaboration potential, global equity, research excellence and reproducibility.

Ergo ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. 13-20
Author(s):  
Miroslav Kostić

The article describes the types of regional measures supporting research, development and innovation in Czechia in the context of the typology of regional support measures in the EU countries, based on the Regional Innovation Monitor Plus project. It also presents best practices from European regions, selected according to positive experience with application of the measures at the regional level and the results achieved. In terms of realisation of own research and innovation strategies, Czech regions are limited by strong dependency on support measures implemented from national and European level. Nevertheless, this dependency is typical also for regions in the remaining new member states. Another problem is the low level of cooperation between academic and business sector - in terms of both financial and knowledge flows. This does not allow to fully utilise the potential of territorial proximity within the regions, where innovative companies and excellent research teams can be often found side by side. Appropriate and well-considered application of foreign best practice measures and models (or their elements) of research & innovation support can help to mitigate problems of a concrete region. Furthermore, it has relevance for the development of strategic approaches to regional policy which consider possible cuts in European funding in a long-term horizon.


2019 ◽  
Vol 7 (2) ◽  
pp. 113-128
Author(s):  
Dwi Putriana Nuramanah Kinding ◽  
Wahyu Budi Priatna ◽  
Lukman M. Baga

Knowing the performance of a company is needed in order to be able to determine the extent to which goals have been achieved. The final objective of this research was to analyze the performance of Al-Ittifaq vegetable supply chain for each of its members in order to achieve a common goal, by maximizing the resources they have with their best practices. The analytical method used in this research was the Supply Chain Operational Reference (SCOR) model by considering the internal and external attributes of the foodSCOR card. The four attributes used in this study were reliability, responsiveness, agility ,and assets. The results of measuring internal performance in the supply chain at all levels in the responsiveness and agility attributes had achieved superior performance positions on the foods card. The value of Al-Ittifaq vegetable supply chain performance on reliability attributes in conformity performance with the standards was still in the advantage position, while the delivery performance and order fulfillment were already in a superior position. The internal performance of the Al-Ittifaq vegetable supply chain in each section for the cash to cash cycle time attribute had reached a superior position. The daily inventory performance was still in the advantage position, therefore Al-Ittifaq it still needs improvement in performance by not doing a daily inventory to reduce storage costs and to always provide fresh vegetables.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 215
Author(s):  
Quanzeng Wang ◽  
Yangling Zhou ◽  
Pejman Ghassemi ◽  
David McBride ◽  
Jon P. Casamento ◽  
...  

Infrared thermographs (IRTs) implemented according to standardized best practices have shown strong potential for detecting elevated body temperatures (EBT), which may be useful in clinical settings and during infectious disease epidemics. However, optimal IRT calibration methods have not been established and the clinical performance of these devices relative to the more common non-contact infrared thermometers (NCITs) remains unclear. In addition to confirming the findings of our preliminary analysis of clinical study results, the primary intent of this study was to compare methods for IRT calibration and identify best practices for assessing the performance of IRTs intended to detect EBT. A key secondary aim was to compare IRT clinical accuracy to that of NCITs. We performed a clinical thermographic imaging study of more than 1000 subjects, acquiring temperature data from several facial locations that, along with reference oral temperatures, were used to calibrate two IRT systems based on seven different regression methods. Oral temperatures imputed from facial data were used to evaluate IRT clinical accuracy based on metrics such as clinical bias (Δcb), repeatability, root-mean-square difference, and sensitivity/specificity. We proposed several calibration approaches designed to account for the non-uniform data density across the temperature range and a constant offset approach tended to show better ability to detect EBT. As in our prior study, inner canthi or full-face maximum temperatures provided the highest clinical accuracy. With an optimal calibration approach, these methods achieved a Δcb between ±0.03 °C with standard deviation (σΔcb) less than 0.3 °C, and sensitivity/specificity between 84% and 94%. Results of forehead-center measurements with NCITs or IRTs indicated reduced performance. An analysis of the complete clinical data set confirms the essential findings of our preliminary evaluation, with minor differences. Our findings provide novel insights into methods and metrics for the clinical accuracy assessment of IRTs. Furthermore, our results indicate that calibration approaches providing the highest clinical accuracy in the 37–38.5 °C range may be most effective for measuring EBT. While device performance depends on many factors, IRTs can provide superior performance to NCITs.


2020 ◽  
Vol 46 (06) ◽  
pp. 665-672 ◽  
Author(s):  
Patrick Northup ◽  
Jessica Davis

AbstractSignificant gains have been made in our understanding of bleeding and thrombosis in patients with liver disease in recent years, with concurrent exponential growth in the scientific literature published in this realm. Clinical studies of this population are challenging for multiple reasons including some hurdles unique to this population. Cirrhosis patients as a whole, especially those with decompensated cirrhosis, are a high-risk and heterogeneous population prone to serious adverse events. Outcomes of bleeding and thrombosis are relatively rare and lack standardized, validated definitions. Standard practices for clinical care have evolved rapidly and rendered some control data uninformative. We aim to highlight these challenges and make recommendations for best practices for future study design and implementation. Multidisciplinary collaboration with proceduralists, careful study design including attention to validated clinically relevant outcomes, and aggressive pursuit of all funding streams will be key to continued scientific success in this burgeoning field.


2007 ◽  
Vol 2 (1) ◽  
pp. 23 ◽  
Author(s):  
Lynn L. Langille ◽  
Theresa Mackenzie

Purpose - Difficulty in securing research funding has been cited as one barrier to the involvement of more librarians and information professionals in conducting original research. This article seeks to support the work of librarians who wish to secure research funding by describing some key approaches to the creation of successful grant applications. Approach - The authors draw on more than 15 years experience in supporting the development of successful research grant proposals. Twelve grant-writing best practices or ‘key approaches’ are described, and a planning timeline is suggested. Conclusions - Use of these best practices can assist researchers in creating successful research grant proposals that will also help streamline the research process once it is underway. It is important to recognize the competitive nature of research grant competitions, to obtain feedback from an internal review panel, and to use feedback from funding agencies to strengthen future grant applications.


2018 ◽  
Vol 37 (6) ◽  
pp. 466-471 ◽  
Author(s):  
Stéphanie Boué ◽  
Michael Byrne ◽  
A. Wallace Hayes ◽  
Julia Hoeng ◽  
Manuel C. Peitsch

Low rates of reproducibility and translatability of data from nonclinical research have been reported. Major causes of irreproducibility include oversights in study design, failure to characterize reagents and protocols, a lack of access to detailed methods and data, and an absence of universally accepted and applied standards and guidelines. Specific areas of concern include uncharacterized antibodies and cell lines, the use of inappropriate sampling and testing protocols, a lack of transparency and access to raw data, and deficiencies in the translatability of findings to the clinic from studies using animal models of disease. All stakeholders—academia, industry, funding agencies, regulators, nonprofit entities, and publishers—are encouraged to play active roles in addressing these challenges by formulating and promoting access to best practices and standard operating procedures and validating data collaboratively at each step of the biomedical research life cycle.


Author(s):  
Daniel Garijo ◽  
María Poveda-Villalón

With the adoption of Semantic Web technologies, an increasing number of vocabularies and ontologies have been developed in different domains, ranging from Biology to Agronomy or Geosciences. However, many of these ontologies are still difficult to find, access and understand by researchers due to a lack of documentation, URI resolving issues, versioning problems, etc. In this chapter we describe guidelines and best practices for creating accessible, understandable and reusable ontologies on the Web, using standard practices and pointing to existing tools and frameworks developed by the Semantic Web community. We illustrate our guidelines with concrete examples, in order to help researchers implement these practices in their future vocabularies.


Volume 3 ◽  
2004 ◽  
Author(s):  
Shilpa S. Dani ◽  
J. A. Harding ◽  
Donna Champion ◽  
M. Shahbaz

If a company is to maintain its success in any market, it is necessary that its processes are among the best available. A best practice is a practice “that will lead to the superior performance of the company”. However, it should be noted that “best” is a moving target in today’s world, and it is also situation specific. Thus, it is important to identify the best practices in a particular organisation but at the same time it is vital to have knowledge of the environment in which the practice is “best”. Improvement in business and manufacturing practices should affect not only the processes themselves, but also the knowledge needed for the process, and the configuration of this knowledge alongside the process. This paper proposes a data mining based methodology to identify the effective process for manufacturing design. The methodology proposes an approach where the effective, good or best manufacturing practices are identified and the knowledge about these practices is stored for future reuse.


2008 ◽  
Vol 7 (3) ◽  
pp. 321-356 ◽  
Author(s):  
OLIVIA S. MITCHELL ◽  
JOHN PIGGOTT ◽  
CAGRI KUMRU

AbstractLarge publicly held pools of assets are playing an increasingly prominent role in the global investment arena. We compare three distinct forms of such public funds, namely foreign exchange reserve funds, sovereign wealth funds, and public pension funds, to highlight their differences and similarities. We review previous studies on ways to better secure prudent and economically sound public fund management practices in these funds, as well as how to evaluate their governance and investment policies and how to better protect the assets from political interference. Drawing from the pension and corporate finance literature, we also link their management to governance practices and country-specific characteristics, and contrast those with empirical findings on linkages with corporate governance.


2018 ◽  
Vol 42 (1) ◽  
pp. 107-123 ◽  
Author(s):  
Danila Feitosa ◽  
Diego Dermeval ◽  
Thiago Ávila ◽  
Ig Ibert Bittencourt ◽  
Bernadette Farias Lóscio ◽  
...  

Purpose Data providers have been increasingly publishing content as linked data (LD) on the Web. This process includes guidelines (i.e. good practices) to publish, share, and connect data on the Web. Several people in different areas, for instance, sciences, medicine, governments and so on, use these practices to publish data. The LD community has been proposing many practices to aid the publication of data on the Web. However, discovering these practices is a costly and time-consuming task, considering the practices that are produced by the literature. Moreover, the community still lacks a comprehensive understanding of how these practices are used for publishing LD. Thus, the purpose of this paper is to investigate and better understand how best practices support the publication of LD as well as identifying to what extent they have been applied to this field. Design/methodology/approach The authors conducted a systematic literature review to identify the primary studies that propose best practices to address the publication of LD, following a predefined review protocol. The authors then identified the motivations for recommending best practices for publishing LD and looked for evidence of the benefits of using such practices. The authors also examined the data formats and areas addressed by the studies as well as the institutions that have been publishing LD. Findings In summary, the main findings of this work are: there is empirical evidence of the benefits of using best practices for publishing LD, especially for defining standard practices, integrability and uniformity of LD; most of the studies used RDF as data format; there are many areas interested in dissemination data in a connected way; and there is a great variety of institutions that have published data on the Web. Originality/value The results presented in this systematic review can be very useful to the semantic web and LD community, since it gathers pieces of evidence from the primary studies included in the review, forming a body of knowledge regarding the use best practices for publishing LD pointing out interesting opportunities for future research.


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