ReviewEnvironmental science and pollution research international2021
Advent of Big Data technology in environment and water management sector.
Review in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Big Data is on the verge of explosion in terms of popularity in recent decades, and such a trend is not going to stop anytime soon as it has a lot of room to grow. The increased integration of IoT devices, faster access to the Internet, and advances in the computational power of mainstream devices have drastically increased the feasibility for the same while making it more practical to implement gradually. The reach and applicability of Big Data are diversified, yet widespread, and one of its key implementations falls under the environment arena. In an attempt to provide novel Big Data allied solutions in one or more aspects of water management sector, a substantial amount of research work has been carried out in recent years. This paper discusses how Big Data influences the abovementioned arenas and the extent of importance that it has. Several aspects of this field are uprooted, are discussed, and have seen real-world applicability. Various presently deployed applications, in the sub-fields of environment and water management are studied, and given an inclusive review. Finally, the current challenges and limitations pertaining to Big Data are discussed and proper (in theory) solutions are proposed which seem to have promising results. The future scope of Big Data is also considered with its viability taken into consideration. Several assessments and opinions are then cited.
Indexed as
Identifiers
33904135What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.