scholarly journals The National Cancer Institute Cancer Moonshot Public Access and Data Sharing Policy—Initial assessment and implications

Data & Policy ◽  
2020 ◽  
Vol 2 ◽  
Author(s):  
Tammy M. Frisby ◽  
Jorge L. Contreras
Keyword(s):  
Data Sharing ◽  
National Cancer Institute ◽  
Research Funding ◽  
Public Access ◽  
Initial Assessment ◽  
Fiscal Year ◽  
Data Types ◽  
Grant Applications ◽  
Funding Agencies ◽  
Wide Range

Abstract Since 2013, federal research-funding agencies have been required to develop and implement broad data sharing policies. Yet agencies today continue to grapple with the mechanisms necessary to enable the sharing of a wide range of data types, from genomic and other -omics data to clinical and pharmacological data to survey and qualitative data. In 2016, the National Cancer Institute (NCI) launched the ambitious $1.8 billion Cancer Moonshot Program, which included a new Public Access and Data Sharing (PADS) Policy applicable to funding applications submitted on or after October 1, 2017. The PADS Policy encourages the immediate public release of published research results and data and requires all Cancer Moonshot grant applicants to submit a PADS plan describing how they will meet these goals. We reviewed the PADS plans submitted with approximately half of all funded Cancer Moonshot grant applications in fiscal year 2018, and found that a majority did not address one or more elements required by the PADS Policy. Many such plans made no reference to the PADS Policy at all, and several referenced obsolete or outdated National Institutes of Health (NIH) policies instead. We believe that these omissions arose from a combination of insufficient education and outreach by NCI concerning its PADS Policy, both to potential grant applicants and among NCI’s program staff and external grant reviewers. We recommend that other research funding agencies heed these findings as they develop and roll out new data sharing policies.

scholarly journals Navigating the Road to Success: Guidelines for Preparing Competitive Grant Proposals

2007 ◽  
Vol 2 (1) ◽  
pp. 23 ◽  
Author(s):  
Lynn L. Langille ◽  
Theresa Mackenzie
Keyword(s):  
Best Practices ◽  
Research Funding ◽  
Research Process ◽  
Grant Writing ◽  
Original Research ◽  
The Road ◽  
Grant Applications ◽  
Funding Agencies ◽  
Grant Proposals ◽  
Research Grant

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.

scholarly journals An infographic of data sharing in North America

2022 ◽  
Author(s):  
Amédé Gogovor
Keyword(s):  
United States ◽  
North America ◽  
Data Sharing ◽  
Research Funding ◽  
Comparative Data ◽  
Public Research ◽  
Funding Agencies

This infographic shows a comparative data sharing policy recently released by the main public research funding agencies in Canada and United States.

Research, knowledge and collaboration Dilemmas of the PFI

2004 ◽  
Vol 8 (1) ◽  
pp. 6-7
Author(s):  
BRIAN FORD
Keyword(s):  
Construction Industry ◽  
Research Funding ◽  
Interdisciplinary Collaboration ◽  
The Other ◽  
European Research ◽  
Research Knowledge ◽  
Architectural Practice ◽  
Funding Agencies ◽  
Wide Range ◽  
The Relationship

Recent correspondence in arq raises important questions about the relationship between the wide range of research being undertaken in the schools, and architectural practice. John Worthington (arq 7/3+4, pp197–199) makes a particularly important point when he says that architectural schools and the profession ‘cannot afford to stand aloof from the other (construction related) disciplines’. In many Universities (my own included), the discipline of architecture lies within a larger ‘School of the Built Environment’. I see this as entirely positive. The schools must reflect, and respond to, the contemporary realities of practice, if their relevance is to be maintained. As with practice, both teaching and research is increasingly based on interdisciplinary collaboration. While taking place within institutions, such collaboration between institutions and the wider construction industry (manufacturers, contractors and so on) is now often regarded as a prerequisite for successful research bids to both UK and European research funding agencies. Our school has found that many businesses within the construction industry (large and small) now recognize the value of research to the development of their products or processes. Professional practices are also benefiting in a similar way, in recognizing the expertise (and facilities) that reside within the Universities.

Tobacco-related research funding at the National Cancer Institute: Portfolio analysis, fiscal year 2003

2007 ◽  
Vol 9 (10) ◽  
pp. 1053-1057 ◽  
Author(s):  
Paris Ponder ◽  
Anne-Marie Jefferson ◽  
Cathy Backinger ◽  
Rachel Grana
Keyword(s):  
National Cancer Institute ◽  
Research Funding ◽  
Portfolio Analysis ◽  
Fiscal Year ◽  
Related Research

scholarly journals Using Satellite Data for CBRN (Chemical, Biological, Radiological, and Nuclear) Threat Detection, Monitoring, and Modelling

2021 ◽  
Author(s):  
Gary Sutlieff ◽  
Lucy Berthoud ◽  
Mark Stinchcombe
Keyword(s):  
Satellite Data ◽  
Meteorological Data ◽  
Atmospheric Composition ◽  
Chemical Detection ◽  
List Type ◽  
Data Types ◽  
Wide Range ◽  
Future Technologies ◽  
The Impact ◽  
Near Future

Abstract CBRN (Chemical, Biological, Radiological, and Nuclear) threats are becoming more prevalent, as more entities gain access to modern weapons and industrial technologies and chemicals. This has produced a need for improvements to modelling, detection, and monitoring of these events. While there are currently no dedicated satellites for CBRN purposes, there are a wide range of possibilities for satellite data to contribute to this field, from atmospheric composition and chemical detection to cloud cover, land mapping, and surface property measurements. This study looks at currently available satellite data, including meteorological data such as wind and cloud profiles, surface properties like temperature and humidity, chemical detection, and sounding. Results of this survey revealed several gaps in the available data, particularly concerning biological and radiological detection. The results also suggest that publicly available satellite data largely does not meet the requirements of spatial resolution, coverage, and latency that CBRN detection requires, outside of providing terrain use and building height data for constructing models. Lastly, the study evaluates upcoming instruments, platforms, and satellite technologies to gauge the impact these developments will have in the near future. Improvements in spatial and temporal resolution as well as latency are already becoming possible, and new instruments will fill in the gaps in detection by imaging a wider range of chemicals and other agents and by collecting new data types. This study shows that with developments coming within the next decade, satellites should begin to provide valuable augmentations to CBRN event detection and monitoring. Article Highlights There is a wide range of existing satellite data in fields that are of interest to CBRN detection and monitoring. The data is mostly of insufficient quality (resolution or latency) for the demanding requirements of CBRN modelling for incident control. Future technologies and platforms will improve resolution and latency, making satellite data more viable in the CBRN management field

UK research funding agencies

Physics Today ◽  
2006 ◽  
Vol 59 (7) ◽  
pp. 24-24
Author(s):  
Toni Feder
Keyword(s):  
Research Funding ◽  
Funding Agencies

scholarly journals Product formalisms for measures on spaces with binary tree structures: representation, visualization, and multiscale noise

2020 ◽  
Vol 8 ◽  
Author(s):  
Devasis Bassu ◽  
Peter W. Jones ◽  
Linda Ness ◽  
David Shallcross
Keyword(s):  
Data Science ◽  
Theoretical Foundation ◽  
Continuous Functions ◽  
Noise Model ◽  
Data Types ◽  
Data Set ◽  
Tree Structures ◽  
Simple Concept ◽  
Wide Range ◽  
Computer Scientists

Abstract In this paper, we present a theoretical foundation for a representation of a data set as a measure in a very large hierarchically parametrized family of positive measures, whose parameters can be computed explicitly (rather than estimated by optimization), and illustrate its applicability to a wide range of data types. The preprocessing step then consists of representing data sets as simple measures. The theoretical foundation consists of a dyadic product formula representation lemma, and a visualization theorem. We also define an additive multiscale noise model that can be used to sample from dyadic measures and a more general multiplicative multiscale noise model that can be used to perturb continuous functions, Borel measures, and dyadic measures. The first two results are based on theorems in [15, 3, 1]. The representation uses the very simple concept of a dyadic tree and hence is widely applicable, easily understood, and easily computed. Since the data sample is represented as a measure, subsequent analysis can exploit statistical and measure theoretic concepts and theories. Because the representation uses the very simple concept of a dyadic tree defined on the universe of a data set, and the parameters are simply and explicitly computable and easily interpretable and visualizable, we hope that this approach will be broadly useful to mathematicians, statisticians, and computer scientists who are intrigued by or involved in data science, including its mathematical foundations.

scholarly journals A Statistical Approach to Model the H-Index Based on the Total Number of Citations and the Duration from the Publishing of the First Article

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Mohammad Reza Mahmoudi ◽  
Marzieh Rahmati ◽  
Zulkefli Mansor ◽  
Amirhosein Mosavi ◽  
Shahab S. Band
Keyword(s):  
Nonlinear Regression ◽  
Research Funding ◽  
Statistical Approach ◽  
Practical Approach ◽  
H Index ◽  
Model Based ◽  
Funding Agencies ◽  
Number Of Citations ◽  
The Impact

The productivity of researchers and the impact of the work they do are a preoccupation of universities, research funding agencies, and sometimes even researchers themselves. The h-index (h) is the most popular of different metrics to measure these activities. This research deals with presenting a practical approach to model the h-index based on the total number of citations (NC) and the duration from the publishing of the first article (D1). To determine the effect of every factor (NC and D1) on h, we applied a set of simple nonlinear regression. The results indicated that both NC and D1 had a significant effect on h ( p  < 0.001). The determination of coefficient for these equations to estimate the h-index was 93.4% and 39.8%, respectively, which verified that the model based on NC had a better fit. Then, to record the simultaneous effects of NC and D1 on h, multiple nonlinear regression was applied. The results indicated that NC and D1 had a significant effect on h ( p  < 0.001). Also, the determination of coefficient for this equation to estimate h was 93.6%. Finally, to model and estimate the h-index, as a function of NC and D1, multiple nonlinear quartile regression was used. The goodness of the fitted model was also assessed.

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