Got “Big Data”? Not sure how best to use it? Big Data is becoming an important facet of aquatic ecology, and researchers must learn to harness it to reap the rewards of using it. The benefits of using Big Data are many, and include advancements in scientific understanding at larger scales and higher resolution, applications to improving environmental management and policy, and public engagement. We aim to demystify the use of Big Data for individual scientists, and provide some food for thought for the aquatic ecology community on how to develop this sphere. To achieve this, we highlight six key challenges: (1) how to recognize if you have Big Data, (2) handling Big Data, (3) issues with classical analytical techniques, (4) verification of ...
Freshwaters worldwide face serious threats, making their protection increasingly important. Freshwat...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
We use the Big Data paradigm, as a driving mechanism of an integrated research framework. As a case ...
Got “Big Data”? Not sure how best to use it? Big Data is becoming an important facet of aquatic ecol...
The need for sound ecological science has escalated alongside the rise of the information age and “b...
Despite best efforts, the loss of biodiversity has continued at a pace that constitutes a major thre...
This document explores the potential of big data, i.e. large volumes of high variety data collected ...
The ongoing digital revolution in the age of big data is opening new research opportunities. Culturo...
The potential for telemetry data to answer complex questions about aquatic animals and their interac...
The amount of relevant published data sets available in the environmental sciences is rapidly increa...
With the increasing amount of datasets being published and made available through global aggregators...
Over course of recent decades, rapid technological advances have led to the advent of big data analy...
The ongoing digital revolution in the age of big data is opening new research opportunities. Culturo...
Thesis (Ph.D.)--University of Washington, 2021The study of ecology has been irreversibly transformed...
AbstractData sharing is the practice of making data available for use by others. Ecologists are incr...
Freshwaters worldwide face serious threats, making their protection increasingly important. Freshwat...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
We use the Big Data paradigm, as a driving mechanism of an integrated research framework. As a case ...
Got “Big Data”? Not sure how best to use it? Big Data is becoming an important facet of aquatic ecol...
The need for sound ecological science has escalated alongside the rise of the information age and “b...
Despite best efforts, the loss of biodiversity has continued at a pace that constitutes a major thre...
This document explores the potential of big data, i.e. large volumes of high variety data collected ...
The ongoing digital revolution in the age of big data is opening new research opportunities. Culturo...
The potential for telemetry data to answer complex questions about aquatic animals and their interac...
The amount of relevant published data sets available in the environmental sciences is rapidly increa...
With the increasing amount of datasets being published and made available through global aggregators...
Over course of recent decades, rapid technological advances have led to the advent of big data analy...
The ongoing digital revolution in the age of big data is opening new research opportunities. Culturo...
Thesis (Ph.D.)--University of Washington, 2021The study of ecology has been irreversibly transformed...
AbstractData sharing is the practice of making data available for use by others. Ecologists are incr...
Freshwaters worldwide face serious threats, making their protection increasingly important. Freshwat...
With advances in technology comes the ability of biologists to generate large amounts of data quickl...
We use the Big Data paradigm, as a driving mechanism of an integrated research framework. As a case ...