Evidence map›Paper›PMID 33904135›Full record

ReviewEnvironmental science and pollution research international2021

Advent of Big Data technology in environment and water management sector.

Jay Gohil, Jay Patel, Jay Chopra, Ketul Chhaya, Jimmy Taravia, Manan Shah

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jay GohilDepartment of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Jay PatelDepartment of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Jay ChopraDepartment of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Ketul ChhayaDepartment of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Jimmy TaraviaDepartment of Information and Communication Technology, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India.
Manan ShahDepartment of Chemical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. manan.shah@spt.pdpu.ac.in.ORCID http://orcid.org/0000-0002-8665-5010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Big DataWaterTechnologyWater SupplyWaterBig DataEnvironmentWater management

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.