Data & Analytics

Data & Analytics play a vital role in the realization of the Sustainable Development Goals (SDGs). SDG 17 (Partnerships for the Goals) specifically emphasizes the need to enhance the availability of high-quality, timely, and reliable data. Accurate data and insightful analytics are essential for assessing progress, identifying gaps, making informed decisions, and creating effective policies related to each of the SDGs. For instance, they can help enhance education systems (SDG 4), optimize health services (SDG 3), reduce poverty (SDG 1), and mitigate climate change impacts (SDG 13). Moreover, advances in data collection methods, including mobile technology and remote sensing, can provide valuable insights for achieving sustainability. Therefore, robust data and analytics are integral to monitoring and accomplishing the SDGs.

Elsevier, The Lancet, Volume 393, 9 - 15 February 2019
Elsevier, The Lancet, Volume 393, 9 - 15 February 2019
Elsevier, The Lancet, Volume 393, 9 - 15 February 2019
Background: Across countries and disciplines, studies show male researchers receive more research funding than their female peers. Because most studies have been observational, it is unclear whether imbalances stem from evaluations of female research investigators or of their proposed research. In 2014, the Canadian Institutes of Health Research created a natural experiment by dividing investigator-initiated funding applications into two new grant programmes: one with and one without an explicit review focus on the calibre of the principal investigator.
Improving the career progression of women and ethnic minorities in public health universities has been a longstanding challenge, which we believe might be addressed by including staff diversity data in university rankings. We present findings from a mixed methods investigation of gender-related and ethnicity-related differences in career progression at the 15 highest ranked social sciences and public health universities in the world, including an analysis of the intersection between sex and ethnicity.
Characterising microplastics based on spectroscopic measurements is one key step of many studies that analyse the fate of microplastics in the environment. Over the years, many potential sources of error were identified, which can be seen by the implementation of anti-contamination protocols, measuring laboratory blanks or using less aggressive chemicals for sample purification. However, the identification process itself in the meaning of a traceable and transparent documentation is hard to find in many research studies.
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 111, February 2019
The quantification of micro- and nanoplastics in environmental matrices is an analytical challenge and pushes to the use of unrealistic high exposure concentrations in laboratory studies which can lead to manifestations of ecotoxicological effects and risks estimation that are transient under natural conditions.