How the inclusive data landscape has evolved: - Key insights & learnings from the

The review aimed to identify how the IDC can better foster action on inclusive data in the future, considering the evolving and changing contexts of the data revolution, the LNOB agenda, and the conception of inclusive data itself. [...] The commitment was institutionalized across the UN system by the UN System Chief Executive Board for Coordination (CEB) in 2016.2 At the same time, the UN Statistical Commission (UNSC) created the Inter-agency and Expert Group on SDG indicators (IAEG-SDGs) to “develop and implement the global indicator framework for the Goals and targets of the 2030 Agenda.”3 A key component of the IAEG-SDGs’ mand. [...] Between now and 2030, we will work to improve the quality, quantity, financing and availability of inclusive and disaggregated data as well as the capacity and capability to produce and use it, in accordance with internationally accepted standards and ongoing processes under the auspices of the United Nations.”9 The five Principles that form the backbone of the initiative include that: 1. [...] The seven trends include intersectionality, inclusive data systems, inclusive data governance, the impact of COVID-19, digital inclusion, the rise in the collection and use of CGD, and the development of HRBAs for data collection and use. [...] SA2: The evolution of the notion of ‘inclusive data’ There is broad recognition among interviewees and survey respondents that inclusive data now encompasses more than ‘disaggregation’ and includes the seven themes of: intersectionality, inclusive data systems, inclusive data governance, the impact of COVID-19, digital inclusion, the rise in collection and use of CGD, and the development of a HRBA.