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As national statistics offices identify the gaps in the data they collect and what is necessary to effectively monitor progress towards national plans and the SDGs, there is demand for mechanisms to effectively integrate non-official or non-national level datasets into indicators useable at the national scale. The process of data reconciliation, which stitches together multiple related datasets, can increase the efficiency and achieve a level of specificity hitherto unavailable to most statistics offices. SDSN TReNDS is exploring the ways in which data reconciliation can be applied as a method to address data gaps across disparate sectors (urban economic growth, water quality and access) and stakeholder scenarios (multi-lateral and bi-lateral data sharing agreements). With funding from the Hewlett Foundation and support from SDSN and in-country partners are working together to co-design an open-source platform for such exchange.

In the Colombia pilot project, a joint effort involves CEPEI, the Bogota Chamber of Commerce, and the Colombian national statistics office (DANE) to reconcile sub-national economic development data with national indicators for SDG 11 and SDG 5. DANE is particularly interested in the project as a pilot platform by which to collect urban datasets and integrate them into their national statistics, with intended use for other sectors and with other partners.

In the Bangladesh research project, Oxford University Scholar Alexander Fischer investigated the utility of data reconciliation for SDG 6 data in Bangladesh. By reviewing the many sources of data relating to access to quality and affordable water supply, Fischer created a set of recommendations for how to assess data gaps and a framework for when data reconciliation is the most effective and efficient tool. Read his full report here.

Other Solutions Initiatives

  • Deep Decarbonization Pathways Project

    The Deep Decarbonization Pathways Project (DDPP) is an SDSN Solution Initiative co-founded with the Institute for Sustainable Development and International Relations (IDDRI) to prepare national low-emission development pathways to 2050, consistent with limiting the rise in global temperatures to well below 2°C, as agreed in the Paris Agreement on climate change.

  • Agricultural Transformation Pathways initiative

    This SDSN Solution Initiative aims to provide support to countries in choosing realistic targets that are congruent with the new SDGs and developing technology and socio-economic roadmaps for meeting selected targets.

  • USA Sustainable Cities Initiative (USA-SCI)

    Building on ongoing municipal sustainable development planning efforts, the USA Sustainable Cities Initiative (USA-SCI) is supporting SDG achievement strategies in three pilot US cities: New York (New York), Baltimore (Maryland), and San Jose (California).

  • Rio Sustainable Cities Initiative: SDG Implementation in a Metropolitan Context

    The Rio Sustainable Cities Initiative recognizes that comprehensive sustainable urban development necessitates local and national cooperation. Holistic planning cannot be confined to local boundaries. This is particularly important as cities strive to achieve the urban sustainable development goal (SDG 11), to make cities and human settlements inclusive, safe, resilient and sustainable.

  • The World in 2050

    The World in 2050 (TWI2050) is a global research initiative in support of a successful implementation of the United Nations’ 2030 Agenda. The goal of TWI2050 is to provide the fact-based knowledge to support the policy process and implementation of the SDGs.

  • SDG Local Data Action

    The SDG Local Data Action Solutions Initiative (SI) is a crossover project between the USA-Sustainable Cities Initiative (USA-SCI) and the Thematic Research Network on Data and Statistics (TReNDS).Upon the adoption of the Sustainable Development Goals by 193 countries in September 2015, a clear consensus emerged that data would play a key role in measuring- and achieving – […]

  • Open Algorithms Project

    The Open Algorithms project (OPAL) is led by the DataPop Alliance with partners Orange, World Economic Forum, Agence France du Developpement, PARIS21, and SDSN. OPAL demonstrates a pathway to harness private data for the public good while maintaining the datasets’ privacy, security, and proprietary value. By developing a mechanism for querying telecommunications data behind the […]

  • Virtual Open Schools

    The Virtual Open School project aims to identify and test a model for large-scale, online provision of quality secondary level education in rural areas in an economically sustainable way.