An open source, web based, simple solution for seismic data dissemination and collaborative research

2005 ◽  
Vol 31 (5) ◽  
pp. 599-605 ◽  
Author(s):  
Paolo Diviacco
Keyword(s):  
Open Source ◽  
Seismic Data ◽  
Collaborative Research ◽  
Data Dissemination ◽  
Simple Solution ◽  
Web Based

The Antarctic Seismic Data Library System (SDLS): fostering collaborative research through Open Data and FAIR principles

2020 ◽  
Author(s):  
Chiara Sauli ◽  
Paolo Diviacco ◽  
Alessandro Busato ◽  
Alan Cooper ◽  
Frank O. Nitsche ◽  
...  
Keyword(s):  
Seismic Data ◽  
Collaborative Research ◽  
Open Data ◽  
Data Access ◽  
Legal Framework ◽  
Web Based ◽  
Fair Principles ◽  
Antarctic Research ◽  
The Antarctic ◽  
Data Library

<p>Antarctica is one of the most studied areas on the planet for its profound effects on the Earth’s climate and ocean systems. Antarctic geology keeps records of events that took place in remote times but that can spread light on climate phenomena taking place today. It is therefore of overwhelming importance, to make all data in the area available to the widest scientific community. The remoteness, extreme weather conditions, and environmental sensitivity of Antarctica make new data acquisition complicated and existing seismic data very valuable. It is, therefore, critical that existing data are findable, accessible and reusable..</p><p>The Antarctic Seismic Data Library System (SDLS) was created in 1991 under the mandates of the Antarctic Treaty System (ATS) and the auspices of the Scientific Committee on Antarctic Research (SCAR), to provide open access to Antarctic multichannel seismic-reflection data (MCS) for use in cooperative research projects. The legal framework of the ATS dictates that all institutions that collect MCS data in Antarctica must submit their MCS data to the SDLS within 4 years of collection and remain in the library under SDLS guidelines until 8 years after collection. Thereafter, the data switch to unrestricted use in order to trigger and foster as much as possible collaborative research within the Antarctic research community.  In this perspective, the SDLS developed a web portal (http://sdls.ogs.trieste.it) that implements tools that allow all data to be discovered, browsed, accessed and downloaded directly from the web honoring at the same time the ATS legal framework and the Intellectual protection of data owners. The SDLS web portal, is based on the SNAP geophysical web-based data access framework developed by Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS, and offers all standard OGC compliant metadata models, and OGC compliant data access services. It is possible to georeference, preview and even perform some processing on the actual data on the fly. Datasets are assigned DOIs so that they can be referenced  from within research papers or other publications.. We will present in details the SDLS web based system in the light of Open Data and FAIR principles, and the SDLS planned future developments.</p>

Web Based GIS Application using Open Source Software for Sharing Geospatial Data

2015 ◽  
Vol 4 (1) ◽  
pp. 1224-1228 ◽  
Author(s):  
Debasish Chakraborty ◽  
◽  
Debanjan Sarkar ◽  
Shubham Agarwal ◽  
Dibyendu Dutta ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Geospatial Data ◽  
Web Based ◽  
Gis Application

Web-based Tools for Drug Repurposing: Successful Examples of Collaborative Research

2020 ◽  
Vol 28 (1) ◽  
pp. 181-195
Author(s):  
Quentin Vanhaelen
Keyword(s):  
User Interfaces ◽  
Collaborative Research ◽  
Meta Analysis ◽  
A Priori ◽  
Drug Repurposing ◽  
Data Access ◽  
Estimation Methods ◽  
Large Set ◽  
Computational Tools ◽  
Web Based

: Computational approaches have been proven to be complementary tools of interest in identifying potential candidates for drug repurposing. However, although the methods developed so far offer interesting opportunities and could contribute to solving issues faced by the pharmaceutical sector, they also come with their constraints. Indeed, specific challenges ranging from data access, standardization and integration to the implementation of reliable and coherent validation methods must be addressed to allow systematic use at a larger scale. In this mini-review, we cover computational tools recently developed for addressing some of these challenges. This includes specific databases providing accessibility to a large set of curated data with standardized annotations, web-based tools integrating flexible user interfaces to perform fast computational repurposing experiments and standardized datasets specifically annotated and balanced for validating new computational drug repurposing methods. Interestingly, these new databases combined with the increasing number of information about the outcomes of drug repurposing studies can be used to perform a meta-analysis to identify key properties associated with successful drug repurposing cases. This information could further be used to design estimation methods to compute a priori assessment of the repurposing possibilities.

scholarly journals ccNetViz: a WebGL-based JavaScript library for visualization of large networks

2020 ◽  
Vol 36 (16) ◽  
pp. 4527-4529
Author(s):  
Ales Saska ◽  
David Tichy ◽  
Robert Moore ◽  
Achilles Rasquinha ◽  
Caner Akdas ◽  
...  
Keyword(s):  
Systems Biology ◽  
Complex Networks ◽  
Open Source ◽  
High Speed ◽  
A Priori ◽  
Supplementary Information ◽  
Network Visualization ◽  
Supplementary Data ◽  
Web Based ◽  
Flow Of Information

Abstract Summary Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology. Availability and implementation The ccNetViz library, demos and documentation are freely available at http://helikarlab.github.io/ccNetViz/. Supplementary information Supplementary data are available at Bioinformatics online.

SigPrep: Open Source Web-Based Prework for Signals and Systems [SP Education]

2020 ◽  
Vol 37 (6) ◽  
pp. 184-191
Author(s):  
Utku Demir ◽  
Gaurav Sharma
Keyword(s):  
Open Source ◽  
Web Based

scholarly journals Short-term adoption rates for a web-based portal within the intranet of a hospital information system

2019 ◽  
Vol 26 (1) ◽  
pp. e100004 ◽  
Author(s):  
Athanasios Kotoulas ◽  
Ioannis Stratis ◽  
Theodoros Goumenidis ◽  
George Lambrou ◽  
Dimitrios - Dionysios Koutsouris
Keyword(s):  
Open Source ◽  
Resistance To Change ◽  
Content Management ◽  
Healthcare Management ◽  
Short Term ◽  
Web Based ◽  
Average Growth ◽  
Greek Hospital ◽  
Set Up ◽  
Free Open Source

ObjectiveAn intranet portal that combines cost-free, open-source software technology with easy set-up features can be beneficial for daily hospital processes. We describe the short-term adoption rates of a costless content management system (CMS) in the intranet of a tertiary Greek hospital.DesignDashboard statistics of our CMS platform were the implementation assessment of our system.ResultsIn a period of 10 months of running the software, the results indicate the employees overcame ‘Resistance to Change’ status. The average growth rate of end users who exploit the portal services is calculated as 2.73 every 3.3 months.ConclusionWe found our intranet web-based portal to be acceptable and helpful so far. Exploitation of an open-source CMS within the hospital intranet can influence healthcare management and the employees’ way of working as well.

scholarly journals Sa1099 Collection of Patient Centered Outcomes in Esophageal Disease: An Open Source Web Based Framework

2013 ◽  
Vol 144 (5) ◽  
pp. S-201-S-202
Author(s):  
Andrew J. Gawron ◽  
Sherri L. LaVela ◽  
David Were ◽  
Meghan Thompson ◽  
Jordan Swiskow ◽  
...  
Keyword(s):  
Open Source ◽  
Esophageal Disease ◽  
Patient Centered ◽  
Web Based
Sign in / Sign up

Export Citation Format

Share Document