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

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 Exploratory Three Dimensional Cartographic Visualisation of Geolocated Datasets

2021 ◽  
Author(s):  
◽  
Alexandre Bannwarth
Keyword(s):  
Spatial Information ◽  
Three Dimensional ◽  
Data Repository ◽  
Exploratory Research ◽  
Two Dimensional ◽  
Online Data ◽  
Procedural Approach ◽  
Aster Gdem ◽  
Research Through Design ◽  
Social Media Platforms

<p>While digital technologies have vastly facilitated the generation and consumption of cartographic visualisations, the majority still conform to traditional two-dimensional map making guidelines. Consequently, design principles for three-dimensional cartographic models are still in their infancy and require further exploratory research to establish a comprehensive design framework. The free availability of high resolution global digital elevation models (GDEM), such as the ASTER GDEM (NASA LP DAAC, METI, 2011), makes it possible to develop accurate three-dimensional landscape visualisations and offer more intuitive and immersive representation of spatial information. Combined with the prevalence of geolocated content in both online data-repository and social-media platforms, there exists a wealth of material to be mined, interpreted and juxtaposed in exploratory cartographic visualisations.  This thesis aims to establish a flexible and iterative procedural workflow to acquire, interpret and visualise 3D geolocated datasets, without compromising aesthetic control. Synergic with the procedural approach required for data collection and analysis, a procedural approach is used in the design of the visual output. This workflow aims to maximise automation and allow for the interpretation of a range of different data sources. The creative output of this process explores emergent cartographic principles for optimal three-dimensional spatial visualisation and investigate data presentation techniques beyond traditional two-dimensional geo-visualisation guidelines.    Informed by exploratory literature review and research through design theories, this practice-led thesis documents the iterative prototyping leading to the creation of a set of map-based infographics showcasing effective application of cartographic and data visualisation principles in a 3D geospatial context. These design prototypes and critical report of workflow refinement hope to contribute to the development of three-dimensional geographic modelling conventions.</p>

scholarly journals Exploratory Three Dimensional Cartographic Visualisation of Geolocated Datasets

2021 ◽  
Author(s):  
◽  
Alexandre Bannwarth
Keyword(s):  
Spatial Information ◽  
Three Dimensional ◽  
Data Repository ◽  
Exploratory Research ◽  
Two Dimensional ◽  
Online Data ◽  
Procedural Approach ◽  
Aster Gdem ◽  
Research Through Design ◽  
Social Media Platforms

<p>While digital technologies have vastly facilitated the generation and consumption of cartographic visualisations, the majority still conform to traditional two-dimensional map making guidelines. Consequently, design principles for three-dimensional cartographic models are still in their infancy and require further exploratory research to establish a comprehensive design framework. The free availability of high resolution global digital elevation models (GDEM), such as the ASTER GDEM (NASA LP DAAC, METI, 2011), makes it possible to develop accurate three-dimensional landscape visualisations and offer more intuitive and immersive representation of spatial information. Combined with the prevalence of geolocated content in both online data-repository and social-media platforms, there exists a wealth of material to be mined, interpreted and juxtaposed in exploratory cartographic visualisations.  This thesis aims to establish a flexible and iterative procedural workflow to acquire, interpret and visualise 3D geolocated datasets, without compromising aesthetic control. Synergic with the procedural approach required for data collection and analysis, a procedural approach is used in the design of the visual output. This workflow aims to maximise automation and allow for the interpretation of a range of different data sources. The creative output of this process explores emergent cartographic principles for optimal three-dimensional spatial visualisation and investigate data presentation techniques beyond traditional two-dimensional geo-visualisation guidelines.    Informed by exploratory literature review and research through design theories, this practice-led thesis documents the iterative prototyping leading to the creation of a set of map-based infographics showcasing effective application of cartographic and data visualisation principles in a 3D geospatial context. These design prototypes and critical report of workflow refinement hope to contribute to the development of three-dimensional geographic modelling conventions.</p>

Estimating the true arrival, balking, and reneging processes from censored transactional data: a simulation-based approach

SIMULATION ◽  
2021 ◽  
pp. 003754972110611
Author(s):  
Ashkan Negahban
Keyword(s):  
Stochastic Processes ◽  
Call Center ◽  
Capacity Planning ◽  
Queueing Systems ◽  
Data Repository ◽  
Online Data ◽  
Real World Application ◽  
Simulation Based ◽  
Sample Data ◽  
Transactional Data

The transactional data typically collected/available on queueing systems are often subject to censoring as unsuccessful arrivals due to balking and/or unserved entities due to reneging are not recorded. In fact, in many situations, the true arrival, balking, and reneging events are unobservable, making it virtually impossible to collect data on these stochastic processes—information that is crucial for capacity planning and process improvement decisions. The objective of this paper is to estimate the true (latent) external arrival, balking, and reneging processes in queueing systems from such censored transactional data. The estimation problem is formulated as an optimization model and an iterative simulation-based inference approach is proposed to find appropriate input models for these stochastic processes. The proposed method is applicable in any complex queueing situation as long as it can be simulated. The problem is investigated under both known and unknown reneging distribution. Through extensive simulation experiments, general guidelines are provided for specifying the parameters of the proposed approach, namely, sample size and number of replications. The proposed approach is also validated through a real-world application in a call center, where it successfully estimates the underlying arrival, balking, and reneging distributions. Finally, to enable reproducibility and technology transfer, a working example, including all codes and sample data, are made available in an open online data repository associated with this paper.

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