Data & Analytics

Data and analytics are increasingly recognized as fundamental elements in achieving the Sustainable Development Goals (SDGs). These 17 goals, adopted by the United Nations in 2015, aim to address global challenges such as poverty, inequality, climate change, environmental degradation, peace, and justice. Each goal is interconnected, requiring a holistic approach to achieve sustainable development by 2030. Within this framework, SDG 17, "Partnerships for the Goals," is particularly crucial as it highlights the need for high-quality, timely, and reliable data to drive progress across all goals.

The importance of data and analytics in realizing the SDGs cannot be overstated. Accurate and insightful data is necessary for several key aspects: assessing current progress, identifying existing gaps, informing policy-making, and guiding the allocation of resources. For instance, in addressing SDG 1, "No Poverty," data helps in understanding the demographics of poverty, allowing for targeted interventions. Similarly, for SDG 3, "Good Health and Well-being," data analytics play a crucial role in tracking disease outbreaks, understanding health trends, and improving healthcare delivery.

In the education sector, under SDG 4, "Quality Education," data can inform about areas where educational resources are lacking or where dropout rates are high, guiding efforts to enhance education systems. Additionally, for SDG 13, "Climate Action," data is indispensable for understanding climate patterns, predicting future scenarios, and formulating strategies to mitigate and adapt to climate change.

Advancements in data collection and analytics methods have opened up new possibilities. Mobile technology, for example, has revolutionized data collection, enabling real-time gathering and dissemination of information even in remote areas. Remote sensing technologies, such as satellite imagery, provide critical data on environmental changes, agricultural patterns, and urban development. These methods not only expand the scope of data collection but also enhance its accuracy and timeliness.

However, challenges remain in harnessing the full potential of data for the SDGs. These include issues related to data availability, quality, accessibility, and interoperability. In many parts of the world, especially in developing countries, there is a significant data deficit. This gap hinders the ability to make informed decisions and effectively address the SDGs. Moreover, data collected must be reliable and relevant to be useful in policy formulation and implementation.

To overcome these challenges, partnerships between governments, private sector, academia, and civil society are vital. These collaborations can foster innovation in data collection and analytics, ensure data sharing, and build capacities for data analysis. Furthermore, there is a need for a global framework to standardize data collection and reporting methods, which will facilitate comparison and aggregation of data across regions and countries.

This white paper examines whether ambitious renewable targets and private sector financing is compatible in Europe over the next decade. It directly relates to SDG 7 - affordable and clean energy, and SDG 13 - climate action.
Research and commentary on artificial intelligence, contributing to goal 9 on industry, innovation and infrastructure, with particular focus on the technology-related targets.

Bapon (SHM) Fakhruddin, Kate Boylan, Alec Wild, Rebekah Robertson, Chapter 12 - Assessing vulnerability and risk of climate change, Editor(s): Jana Sillmann, Sebastian Sippel, Simone Russo, Climate Extremes and Their Implications for Impact and Risk Assessment, Elsevier, 2020, Pages 217-241, 9780128148952

This book chapter advances SDG 13 by providing assessments of vulnerability and risk of extreme weather or climate events are essential in order to inform and implement appropriate prevention, adaptation, and mitigation strategies.
Legal identity for all – including women, children, and other vulnerable groups – is critical for achieving the SDGs. Linking Civil Registration and Vital Statistics (CRVS) with identity management systems can transform how governments empower and provide for their populations. This compendium brings together good practices from select countries that have made great effort in linking these systems and highlights the resulting benefits. This contributes to SDG 10 and 16.
The Africa Regional Data Cube (ARDC), based on the Open Data Cube infrastructure, is a technological innovation that layers 17 years of satellite imagery and Earth observation data for five African countries. This report identifies the key enabling environment, data management and sharing factors that affect the operationalization of the ARDC and makes recommendations to inform the scale-up of the technology, furthering SDGs 9 and 17.
This report conducts an analysis of the intergovernmental fiscal transfer programs whose budget allocation formulas include population criteria.Through a series of simulations in three Latin American countries (Bolivia, Ecuador, and El Salvador), it analyses what would have happened if more accurate population estimates had been used when allocating transfers to subnational governments. This contributes to SDGs 10 and 16.
SDG 6: Clean Water and Sanitation graphic showing key metrics for research into clean water and sanitation
The latest analysis of SDG-supporting research focusses on SDG 6: Clean Water and Sanitation. This graphic shows key metrics for research into clean water and sanitation.
Advancing SDG 5 (gender equality), Elsevier is preparing a new global gender and research report to promote gender diversity and advance gender equity using data and an evidence-based approach.

Damia Barcelo and Thomas Knepper, TrAC Trends in Analytical Chemistry, 30 July 2019

This microplastics special issue compiled by Trends in Analytical Chemistry supports many of the SDGs, namely SDGs 3 (good health and well-being), 9.5 (enhance scientific research), 12 (responsible consumption and production), 14 (life below water) and 15 (life on land).
Elsevier, TrAC - Trends in Analytical Chemistry, Volume 116, July 2019
For seventy years, mass plastic production and waste mismanagement have resulted in huge pollution of the environment, including the marine environment. The first mention of seafood contaminated by microplastics was recorded in the seventies, and to date numerous studies have been carried out on shellfish, fish and crustaceans. Based on an ad hoc corpus, the current review aims to report on the numerous practices and methodologies described so far.