Improving water governance in Central Asia through application of data management tools

2012 ◽  
Vol 69 (1) ◽  
pp. 151-168 ◽  
Author(s):  
Iskandar Abdullaev ◽  
Shavkat Rakhmatullaev ◽  
Alexander Platonov ◽  
Denis Sorokin
2014 ◽  
Vol 16 (6) ◽  
pp. 1425-1440 ◽  
Author(s):  
Iskandar Abdullaev ◽  
Shavkat Rakhmatullaev

Information technologies can act as technical artifacts and can facilitate stakeholder communication, supporting decision making in a complex societal context. The water sector is one such example where limited water resources are threatened by climate change and growing competition for resources between sectors, regions and countries. Attempts to improve water governance and management through information technologies have been made by international, regional and national water agencies for the last 20 years in Central Asia. However, early attempts were focused on collection, systematization and analysis of the generic data related to the water sector in the region. There are still significant gaps (technical, human and financial capacities) for application of such technologies at the lower operational levels of water management, i.e. where the full dimensions of variables, interactions and complexities are observed and, most importantly, everyday politics of water are performed. The aim of this paper is to present practical results on improving water management in Central Asia through the application of better data management tools at the operational level across diverse institutional settings, i.e. transboundary, watershed levels in the region.


Author(s):  
V. P. Lijo ◽  
Lydia J. Gnanasigamani ◽  
Hari Seetha ◽  
B. K. Tripathy

2021 ◽  
Author(s):  
Mehran Sahandi Far ◽  
Michael Stolz ◽  
Jona Marcus Fischer ◽  
Simon B Eickhoff ◽  
Juergen Dukart

BACKGROUND Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. OBJECTIVE Here we introduce the JuTrack platform as a secure, reliable and extendable open-source solution for remote monitoring in daily-life and digital phenotyping. METHODS JuTrack consists of an Android-based smartphone application and a web-based project management dashboard. A wide range of anonymized measurements from motion-sensors, social and physical activities and geolocation information can be collected in either active or passive modes. The dashboard also provides management tools to monitor and manage data collection across studies. To facilitate scaling, reproducibility, data management and sharing we integrated DataLad as a data management infrastructure. JuTrack was developed to comply with security, privacy and the General Data Protection Regulation (GDPR) requirements. RESULTS JuTrack is an open-source (released under open-source Apache 2.0 licenses) platform for remote assessment of digital biomarkers (DB) in neurological, psychiatric and other indications. The main components of the JuTrack platform and examples of data being collected using JuTrack are presented here. CONCLUSIONS Smartphone-based Digital Biomarker data may provide valuable insight into daily life behaviour in health and disease. JuTrack provides an easy and reliable open-source solution for collection of such data.


1999 ◽  
Vol 46 (2) ◽  
pp. 230-233
Author(s):  
N. Pliskin ◽  
M. Eben-Chaime ◽  
D. Sosna

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