A Cross-disciplinary Collaborative Research Platform - Study on Qinghai Lake Joint Research Environment

2010 ◽  
Author(s):  
Juan Zhao ◽  
Shuren Li ◽  
Jianjun Yu ◽  
Kejun Dong ◽  
Kai Nan ◽  
...  
Keyword(s):  
Collaborative Research ◽  
Qinghai Lake ◽  
Research Environment ◽  
Joint Research ◽  
Research Platform

scholarly journals Cyberinfrastructure for Joint Research in Qinghai Lake Nature Reserve

2011 ◽  
Vol 10 ◽  
pp. 1781-1790 ◽  
Author(s):  
Luo Ze ◽  
Zhou Yuanchun ◽  
Li Jian ◽  
Shao Jing ◽  
Yang Tao ◽  
...  
Keyword(s):  
Nature Reserve ◽  
Qinghai Lake ◽  
Joint Research

scholarly journals CCCORE: Cloud Container for Collaborative Research

2018 ◽  
Vol 8 (3) ◽  
pp. 1659
Author(s):  
Salini Suresh ◽  
L. Manjunatha Rao
Keyword(s):  
Resource Allocation ◽  
Collaborative Research ◽  
High Performance ◽  
Research Collaboration ◽  
Resource Provisioning ◽  
Dynamic Allocation ◽  
Research Environment ◽  
Dynamic Resource Provisioning ◽  
Optimal Resource ◽  
Dynamic Resource

Cloud-based research collaboration platforms render scalable, secure and inventive environments that enabled academic and scientific researchers to share research data, applications and provide access to high- performance computing resources. Dynamic allocation of resources according to the unpredictable needs of applications used by researchers is a key challenge in collaborative research environments. We propose the design of Cloud Container based Collaborative Research (CCCORE) framework to address dynamic resource provisioning according to the variable workload of compute and data-intensive applications or analysis tools used by researchers. Our proposed approach relies on–demand, customized containerization and comprehensive assessment of resource requirements to achieve optimal resource allocation in a dynamic collaborative research environment. We propose algorithms for dynamic resource allocation problem in a collaborative research environment, which aim to minimize finish time, improve throughput and achieve optimal resource utilization by employing the underutilized residual resources.

scholarly journals The GenoDiabMar registry. A collaborative research platform of "real world" type 2 diabetes patients.

2021 ◽  
Author(s):  
Adriana Sierra ◽  
Sol Otero ◽  
Eva Rodriguez ◽  
Anna Faura ◽  
Maria Vera ◽  
...  
Keyword(s):  
Real World ◽  
Collaborative Research ◽  
Rapid Progression ◽  
World Population ◽  
Research Platform ◽  
New Biomarkers ◽  
Clinical Changes ◽  
A Prospective Study ◽  
Overall Mortality

The GenoDiabMar registry is a prospective study aims to provide data on demographic, biochemical and clinical changes, from a real-world population of Type 2 DM (T2D) patients. This registry is addressed to find new biomarkers related to the micro and macrovascular complications of T2D, especially focused on diabetic nephropathy. The registry includes longitudinal serum and urine samples, DNA bank, as well as data on 227 metabolomics profiles, 77 Immunoglobulin G glycomics traits and others emerging biomarkers. 650 patients aged 69.56 +/- 9.31 with different grades of chronic kidney disease; (G1-2 50.3%, G3 31.4%, G4 10.8% and G5 7.5%) were followed up for 4.96 (+/-0.43) years. Regardless of albuminuria, women lost 0.93 (0.40-1.46) glomerular filtration units per year less than men. 17% of the participant experienced rapid progression of renal function, 75.2% men, with differential risk factors between sexes; severe macroalbuminuria >300mg/g for men OR[IQ] 2.40 [1.29:4.44] and concomitant peripheral vascular disease 3.32 [1.10:9.57] for women. An overall mortality of 23% was detected (38% due to Cardiovascular aetiology). This cohort is postulated as a great tool for scientific collaboration for studies, whether they are focused on T2D, or whether they are interested in comparing differential markers between diabetic and non-diabetic populations

scholarly journals Translating Evidence Into Impact: Research and Analyses for Scientific Transformation and Advancement (RASTA)

2021 ◽  
Author(s):  
Keyword(s):  
Family Planning ◽  
Collaborative Research ◽  
Large Body ◽  
Investment Decisions ◽  
Decision Makers ◽  
Close Collaboration ◽  
Analytical Skills ◽  
Key Stakeholders ◽  
Research Platform ◽  
Program Policy

Since its creation in 2017, RASTA’s collaborative research platform has continued to evolve and grow, promoting evidence use, enhancing coordination across a range of partners, and strengthening analytical skills of young Indian researchers to advance family planning and reproductive health (FP/RH). With a large body of research guided by questions developed in close collaboration with decision makers from government and other key stakeholders, RASTA has helped to fill critical evidence gaps and inform program, policy, and investment decisions, including around adolescent health and FP/RH access in the context of COVID-19.

Architecture for a Collaborative Research Environment Based on Reading List Sharing

2010 ◽  
pp. 294-306
Author(s):  
Gabriella Kazai ◽  
Paolo Manghi ◽  
Katerina Iatropoulou ◽  
Tim Haughton ◽  
Marko Mikulicic ◽  
...  
Keyword(s):  
Collaborative Research ◽  
Research Environment ◽  
Reading List

The Breath of Collaboration of Academia, Industry, and Governmental Sectors in Japan

2000 ◽  
Author(s):  
Masafumi Katsuta
Keyword(s):  
Interdisciplinary Research ◽  
Collaborative Research ◽  
Japanese Society ◽  
Science And Technology ◽  
Turn Of The Century ◽  
Science And Engineering ◽  
Research Environment ◽  
Academic Policy ◽  
Research Institute

Abstract The research environment of science and technology is going to change rapidly (dramatically) with the change of Japanese society change at the turn of the century. In this article, a discussion on what kind of academic policy put into the effect aiming to enhance collaborative research in Japanese universities and to foster interdisciplinary research between separate established organizations is attempted. A typical example of a successful system, The Advanced Research Institute of Science and Engineering at Waseda University, will be described.

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