An overview of the U.S. Army Research Laboratory's Sensor Information Testbed for Collaborative Research Environment (SITCORE) and Automated Online Data Repository (AODR) capabilities

2017 ◽  
Author(s):  
Dennis W. Ward ◽  
Kelly W. Bennett
Keyword(s):  
Collaborative Research ◽  
Data Repository ◽  
Research Environment ◽  
Online Data ◽  
Sensor Information ◽  
The U.S

Alternative Futures for Forest-Based Nanomaterials

2016 ◽  
Vol 8 (4) ◽  
pp. 197-221 ◽  
Author(s):  
David N. Bengston ◽  
Jim Dator ◽  
Michael J. Dockry ◽  
Aubrey Yee
Keyword(s):  
Forest Management ◽  
Collaborative Research ◽  
Research Agenda ◽  
Forest Products ◽  
The United States ◽  
Solar Panels ◽  
Alternative Futures ◽  
Environmental Consequences ◽  
History Of ◽  
The U.S

Forestry and forest products research has entered into a robust research agenda focused on creating nano-sized particles and nanoproducts from wood. As wood-based materials can be sustainably produced, the potential of these renewable products could be limitless and include high-end compostable electronics, paint-on solar panels, and lightweight materials for airplanes and cars. Others warn about potential serious negative health and environmental consequences. Either way, wood-based nanomaterials could disrupt forestry as we know it. This article is a summary and analysis of a collaborative research project exploring the futures of wood-based nanomaterials within the context of the futures of forests and forest management within the United States. We start by describing the history of forestry through the lens of the U.S. Forest Service, then describe nanotechnology in general and wood-based nanocellulose specifically. Next, we outline the Manoa School alternative futures method, and how we used it to design and carry out a “complete futures of x” project. Following the Manoa School approach, we describe four alternative futures for forestry and forest management. We conclude with implications for the future of forestry, forests, and forest-based nanomaterials, as well as a discussion on the implementation of a complete “futures of x” project.

scholarly journals reductus: a stateless Python data reduction service with a browser front end

2018 ◽  
Vol 51 (5) ◽  
pp. 1500-1506 ◽  
Author(s):  
Brian Maranville ◽  
William Ratcliff II ◽  
Paul Kienzle
Keyword(s):  
Data Reduction ◽  
Open Data ◽  
Reduction Process ◽  
Flow Diagram ◽  
Data Repository ◽  
Accurate Estimation ◽  
Experimental Science ◽  
Online Data ◽  
Source Data ◽  
Estimation Of Uncertainties

The online data reduction service reductus transforms measurements in experimental science from laboratory coordinates into physically meaningful quantities with accurate estimation of uncertainties from instrumental settings and properties. This reduction process is based on a few well known transformations, but flexibility in the application of the transforms and algorithms supports flexibility in experiment design, enabling a broader range of measurements than a rigid reduction scheme for data. The user interface allows easy construction of arbitrary pipelines from well known data transforms using a visual data flow diagram. Source data are drawn from a networked, open data repository. The Python back end uses intelligent caching to store intermediate results of calculations for a highly responsive user experience. The reference implementation allows immediate reduction of measurements as they are recorded for the three neutron reflectometry instruments at the NIST Center for Neutron Research, without the need for visiting scientists to install additional software on their own computers.

scholarly journals NASA GeneLab: interfaces for the exploration of space omics data

2020 ◽  
Vol 49 (D1) ◽  
pp. D1515-D1522 ◽  
Author(s):  
Daniel C Berrios ◽  
Jonathan Galazka ◽  
Kirill Grigorev ◽  
Samrawit Gebre ◽  
Sylvain V Costes
Keyword(s):  
Data Entry ◽  
Application Programming Interface ◽  
Data Repository ◽  
Omics Data ◽  
Online Data ◽  
Support Tools ◽  
Working Groups ◽  
Student Training ◽  
Application Programming ◽  
Space Environments

Abstract The mission of NASA’s GeneLab database (https://genelab.nasa.gov/) is to collect, curate, and provide access to the genomic, transcriptomic, proteomic and metabolomic (so-called ‘omics’) data from biospecimens flown in space or exposed to simulated space stressors, maximizing their utilization. This large collection of data enables the exploration of molecular network responses to space environments using a systems biology approach. We review here the various components of the GeneLab platform, including the new data repository web interface, and the GeneLab Online Data Entry (GEODE) web portal, which will support the expansion of the database in the future to include companion non-omics assay data. We discuss our design for GEODE, particularly how it promotes investigators providing more accurate metadata, reducing the curation effort required of GeneLab staff. We also introduce here a new GeneLab Application Programming Interface (API) specifically designed to support tools for the visualization of processed omics data. We review the outreach efforts by GeneLab to utilize the spaceflight data in the repository to generate novel discoveries and develop new hypotheses, including spearheading data analysis working groups, and a high school student training program. All these efforts are aimed ultimately at supporting precision risk management for human space exploration.

scholarly journals Protocol for the Sri Lankan Cerebral Palsy Register pilot study

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e039353
Author(s):  
Thilini Madushika Heiyanthuduwage ◽  
Samanmali P Sumanasena ◽  
Gopi Kitnasamy ◽  
Hayley Smithers Sheedy ◽  
Gulam Khandaker ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Pilot Study ◽  
Sri Lanka ◽  
Teaching Hospital ◽  
Epidemiological Studies ◽  
Data Repository ◽  
Sampling Frame ◽  
Online Data ◽  
Middle Income ◽  
The North

IntroductionCerebral palsy (CP) describes a heterogeneous group of motor disorders resulting from disturbance in the developing brain. CP occurs in approximately 2.1 per 1000 live births in high-income countries, but in low- and middle-income countries (LMICs) the prevalence and severity of CP may be greater and aetiological risk factors different. In Sri Lanka, a LMIC, there have been no epidemiological studies of CP to date. Systematically collected data are required to identify opportunities for primary and secondary prevention, to plan and establish services to support children and adults with CP and their families and to act as a sampling frame for new research. Here we describe a pilot study protocol for a CP register in Sri Lanka.Methods and analysisThe aim of this study is to establish a CP register in Sri Lanka. We will use different surveillance methodologies in two provinces of Sri Lanka: hospital and community surveillance in the Western Province and community surveillance in the Eastern Province. A common record form will collect demographic, clinical and service data for children with CP <18 years living in these two provinces. Data will be transferred to a secure online data repository and used to describe the epidemiology of CP in these regions. We will describe the strengths and challenges of the surveillance mechanisms and estimate the resources required for ongoing hospital and community based surveillance in the Western and Eastern provinces and to include additional provinces across the country.Ethics and disseminationThis study has ethical clearance from The University of Kelaniya, National Health Research Council, the Institutional Ethics Review Committee of the Lady Ridgeway Hospital, Colombo South Teaching Hospital and the Director of the North Colombo Teaching Hospital. Results from this research will be disseminated through local and international conferences and through publications in peer-reviewed journals.

scholarly journals Creation of Data Repositories to Advance Nursing Science

2017 ◽  
Vol 41 (1) ◽  
pp. 78-95 ◽  
Author(s):  
Joseph Perazzo ◽  
Margaret Rodriguez ◽  
Jackson Currie ◽  
Robert Salata ◽  
Allison R. Webel
Keyword(s):  
Collaborative Research ◽  
Data Repository ◽  
People Living With Hiv ◽  
Cross Sectional ◽  
Data Repositories ◽  
Nursing Science ◽  
Hiv Research ◽  
Systematic Planning ◽  
Living With Hiv ◽  
And Training

Data repositories are a strategy in line with precision medicine and big data initiatives, and are an efficient way to maximize data utility and form collaborative research relationships. Nurse researchers are uniquely positioned to make a valuable contribution using this strategy. The purpose of this article is to present a review of the benefits and challenges associated with developing data repositories, and to describe the process we used to develop and maintain a data repository in HIV research. Systematic planning, data collection, synthesis, and data sharing have enabled us to conduct robust cross-sectional and longitudinal analyses with more than 200 people living with HIV. Our repository building has also led to collaboration and training, both in and out of our organization. We present a pragmatic and affordable way that nurse scientists can build and maintain a data repository, helping us continue to make to our understanding of health phenomena.

Online Data Repository for Statewide Freight Planning and Analysis

2011 ◽  
Vol 2246 (1) ◽  
pp. 121-129 ◽  
Author(s):  
Andre Y. C. Tok ◽  
Miyuan Zhao ◽  
Joseph Y. J. Chow ◽  
Stephen Ritchie ◽  
Dmitri Arkhipov
Keyword(s):  
Data Repository ◽  
Online Data ◽  
Freight Planning
Sign in / Sign up

Export Citation Format

Share Document