Posts tagged real-time data
Assessing the State of Our World: A Call for ‘Factivists’

SDSN TReNDS has partnered with Project Everyone and the Global Partnership for Sustainable Development Data to curate high-impact, reliable, and high-frequency (at least annual) datasets on the SDGs as part of a public advocacy campaign to bring to life the data behind the Global Goals. This will help ensure that there is greater awareness of where we are progressing and what needs improvement, as well as drive greater action and accountability on the SDGs. The first part of the campaign was launched today on the 5th anniversary of the SDGs during Global Goals Week, to celebrate the theme of ‘Factivism’ - campaigning to change the world by using facts backed up by timely and accurate data to drive action. Via this campaign, we worked to curate ten timely data "facts" on the SDGs to help raise awareness and galvanize action towards the Goals.

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With Crisis Comes Innovation: How COVID-19 is Changing National Statistical Systems

The rapid global spread of COVID-19 has demanded that governments respond at breakneck speed to limit the human and economic costs of the crisis. And the scale of government response is unprecedented - a staggering 11 trillion USD in fiscal support provided by 55 countries in a matter of months – as is the demand for timely data to ensure that resources are targeted where they are most needed. Having accurate and timely data has become the foundation of a resilient and effective government, and national statistical systems are central to this. These systems have been placed under extreme pressure during the crisis. Temporary office closures and disruptions to operations and surveys have jeopardised dozens of statistical publications. Increased demand for new and more timely data on the impacts of the pandemic have stretched available resources. And pragmatic decisions have had to be made to reprioritise and redeploy staff and resources as well as to innovate to deliver new statistical products.

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In the Fight Against Covid-19: What Do We Know and to Whom Can We Turn for Answers?

One could argue that during the current global pandemic, data has never played such an important role. It is relied on for life and death decisions that are impacting billions of people around the globe. In particular, the need for accurate and real-time data, which many in the data for sustainable development community have been advocating for years, has come to the forefront of mainstream conversations. Yet in the haze of the countless Covid-19 data dashboards and discussions on data, much of the data being reported (especially in the United States) is incomplete, confusing to the general public, and being miscommunicated by journalists and politicians alike. As the spread of Covid-19 continues to increase at an alarming rate, policymakers and citizens each face numerous limitations.

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In Low-Income Countries Fundamental Data Issues Remain for COVID-19 Response

As COVID-19 has wreaked havoc across the globe, the data community is steadfastly working to develop new tools and methods to better track and monitor the virus. And considerable attention has been given to the innovative role of big data in the response efforts. For instance, in the United States, data from smart thermometers are being used to predict the spread of the virus; Google is employing aggregated location data to demonstrate the impact of social distancing policies; and South Korea has used a variety of data sources, including individual cellphone data and credit card records to track and report on the virus spread. While these novel data solutions have the potential to help save lives, more fundamental data issues remain in the countries where the impact of COVID-19 is likely to be most devastating.

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Big Data in a Time of Crisis: Maximizing its Value – And Avoiding its Risks – In the Fight Against COVID-19

It is estimated that approximately 2 million people around the world have been infected by the coronavirus, and the numbers continue to grow. Yet the data being reported are primarily coming from national governments, which are – for the most part – basing it on who has been tested, which likely reveals only a fraction of the scale of the pandemic. There’s a critical need for real-time reported data from hospitals, health clinics and outreach facilities, based not only on testing, but on symptoms and other key determinants. In addition, we need to know in real-time who lacks access to a health clinic or other basic services, and which clinics don’t have personal protective equipment (PPE), ventilators or beds – as well as where the most vulnerable people live, their age, gender and other crucial demographic information. If there is one thing this pandemic has exposed, it is the acute weakness of the world’s data systems. 

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Data Experts Say New Sources Must Not Replace Traditional Data

TReNDS hosted an expert discussion on data for development on the sidelines of the 51st session of the UN Statistical Commission. The breakfast event took place on 3 March 2020, and featured remarks by several experts from the TReNDS network. The discussion highlighted as a key issue the lack of data currently available on SDG indicators, saying significant gaps exist in data timeliness, represented geographies, and other factors.

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Navigating New Roles, Technology, and Ecosystems

As 120+ National Statisticians and hundreds of stakeholders across the globe convened at the UN for the 51st session of the Statistical Commission last week, how to manage the increasing breadth of new data and technologies, new responsibilities, and the changing data ecosystem was at the forefront of the conversation.

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The Data Countries Need Now: Outcomes from Data For Now’s Inception Workshop

This week, representatives from eight very diverse countries (Bangladesh, Columbia, Ghana, Mongolia, Nepal, Paraguay, Rwanda, and Senegal) convened in Kigali, Rwanda to discuss priority data needs; specifically, the kinds of timely (even real-time) data they need to effectively track sustainable development. In spite of varied data priorities across the countries (from poverty, to agriculture, to education) commonalities emerged that can expedite the accessibility, timeliness, and quality of data, such as focusing on the better use of satellite imagery and co-investing in administrative data.

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