Toxicological and exposure database inventory: a review
P Petit - International Journal of Hygiene and Environmental …, 2022 - Elsevier
Background Knowledge of hazards and exposure data about chemical pollutants are
essential for epidemiological studies for assessing health risks and preventing the …
essential for epidemiological studies for assessing health risks and preventing the …
[PDF][PDF] Big data and environmental sustainability: a conversation starter
A Keeso - Smith School Working Paper Series, 2014 - academia.edu
Big data, referring broadly to,“the ability of society to harness information in novel ways to
produce useful insights or goods and services of significant value”(Mayer-Schönberger and …
produce useful insights or goods and services of significant value”(Mayer-Schönberger and …
Managing heterogeneous sensor data on a big data platform: IoT services for data-intensive science
Big data has emerged as a key connecting point between things and objects on the internet.
In this cyber-physical space, different types of sensors interact over wireless networks …
In this cyber-physical space, different types of sensors interact over wireless networks …
Big data curation framework: Curation actions and challenges
Big data curation represents an emerging topic of inquiry but still in an early phase along its
adoption curve. The term big data itself is a nebulous concept, and the differences between …
adoption curve. The term big data itself is a nebulous concept, and the differences between …
[PDF][PDF] Transformations in real estate research: The big data revolution
Design/methodology/approach: The methodology is a case study of current literature on Big
Data applications. Findings: The findings show that Big Data is having an increasing impact …
Data applications. Findings: The findings show that Big Data is having an increasing impact …
Enhancing big data in the social sciences with crowdsourcing: Data augmentation practices, techniques, and opportunities
Proponents of big data claim it will fuel a social research revolution, but skeptics challenge
its reliability and decontextualization. The largest subset of big data is not designed for …
its reliability and decontextualization. The largest subset of big data is not designed for …
A data-driven framework for archiving and exploring social media data
Q Huang, C Xu - Annals of GIS, 2014 - Taylor & Francis
Social media data are available and accumulated at the extra-byte level every day. As social
media applications are widely deployed in various platforms from personal computers to …
media applications are widely deployed in various platforms from personal computers to …
Pollution, land
Z Savaşan - Encyclopedia of Big Data, 2022 - Springer
PatientsLikeMe is a for-profit organization based in Cambridge, Massachusetts, managing a
social media-based health network that supports patients in activities of health data self …
social media-based health network that supports patients in activities of health data self …
Introduction to big geospatial data research
C Xu, C Yang - Annals of GIS, 2014 - Taylor & Francis
The phenomenal growth of digital data is posing increasing challenges for both scientists
and engineers. The challenge is multifaceted due to the ever-growing size, constant flow …
and engineers. The challenge is multifaceted due to the ever-growing size, constant flow …
Towards an open data development model for linking heterogeneous data sources
Open data is providing opportunities as well as challenges for research and development in
the field of knowledge and systems engineering. The prospects for both researchers and …
the field of knowledge and systems engineering. The prospects for both researchers and …