Data & Analytics

RELX,

September 2020

Over the past five years, we have used data and analytics to help the research and healthcare communities navigate the sea of research and to put collaboration, both interdisciplinary and international, at the heart of scientific progress on the SDGs.

For the first time, we have published graphics covering all SDGs using data and insights from Scopus and SciVal. These graphics show key metrics for research output, collaboration and impact.

Objective: Many studies evaluated how the Magnetic Resonance Imaging (MRI) field strength affects the effectiveness to detect neurodegenerative changes of Alzheimer's disease (AD), derived from atrophy or thickness. To the best of our knowledge, no study evaluated before how tissue texture changes are affected. In this research, hippocampus texture features extracted from 1.5 T and 3 T MRI are evaluated how are affected by the magnetic field strength.
Agriculture consumes huge amounts of water in China and is profoundly affected by climate change. This study projects the agricultural water use towards 2030 under the climate change mitigation target at the provincial level in China by linking a computable general equilibrium (CGE) model and a regression model. By solving the endogeneities amongst agricultural water use, output and climate factors, we explore how these variables affect water use and further predict future trends through soft-link with the IMED|CGE model.
Climate change requires joint actions between government and local actors. Understanding the perception of people and communities is critical for designing climate change adaptation strategies. Those most affected by climate change are populations in coastal regions that face extreme weather events and sea-level increases. In this article, geospatial perception of climate change is identified, and the research parameters are quantified.
Elsevier,

Drilling Engineering: Towards Achieving Total Sustainability, Sustainable Oil and Gas Development Series, 2021, Pages 529-618

This book chapter advances SDG 7 by describing the latest technologies including data processing and data acquisition around drilling enabling smarter and more sustainable practices.
Elsevier, The Lancet Public Health, Volume 5, August 2020
Elsevier,

Surveying the Covid-19 Pandemic and its Implications, Urban Health, Data Technology and Political Economy, 2020, Pages 129-139

This chapter explores how data science and technology has been key in fighting COVID-19 through early detection and in the devising of tools for containing the spread. The goal of SDG 3.3 is to end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases
As the world of research moves towards open access, publishers have a further task – ensuring the knowledge gap between the Global North and Global South continues to close. Contributing to SDGs 10 and 17, this paper provides an evidence base supporting practical recommendations towards the equitable and inclusive shift towards open access
The destruction of natural habitats is causing loss of biodiversity and ecosystem services. Although a “zero deforestation” is targeted, agriculture expansion caused by increasing human population and per capita consumption might boost the destruction of natural habitats in the coming decades. Here, we estimated the current and future extinction crisis in terrestrial ecoregions caused by habitat destruction and related this pattern with the current conservation efforts.

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