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Workshop 1.<br />

The relevance of “new metrics” for the evaluation of SDGs: Data for development and indicators<br />

for equity and gender equality<br />

Key issues<br />

The workshop was organized around “new metrics”<br />

within three areas of interrelated work: evaluation, data<br />

(including data generation and data for development),<br />

and indicators. Six questions, listed below, framed the<br />

session, exploring the opportunities and challenges<br />

of new metrics to advance a gender-responsive and<br />

equity-focused evaluation of the SDGs.<br />

The group discussed evaluation approaches to advance<br />

a gender-responsive and equity-focused evaluation.<br />

Highly participatory approaches (including, for example,<br />

most significant change) that were grounded in<br />

human rights principles and centrally featured women’s<br />

voices and experiences were touted as effective.<br />

Data collection methods were examined. Qualitative<br />

methods—involving the collection, analysis and<br />

interpretation of data that are not easily reduced to<br />

numbers—can often offer important insights into<br />

underlying power imbalances and ways to advance<br />

gender equality and women’s rights. The limitations<br />

of quantitative methods (sample size, low levels of<br />

disaggregation) for advancing gender-responsive<br />

and equity-focused evaluations were highlighted. It<br />

was also noted that quantitative data often does not<br />

capture or reflect issues of power, access, participation<br />

and voice—essential dimensions to advancing human<br />

rights and gender equality.<br />

New sources of data were surfaced, with participants<br />

discussing opportunities and challenges associated<br />

with each.<br />

Challenges in populating indicators—including the<br />

availability of quality, disaggregated, comparable and<br />

timely data—were shared. Participants noted that<br />

indicators related to equity and equality, including<br />

gender equality, are more challenging to populate,<br />

requiring disaggregated data and data from remote<br />

areas and marginalized communities. When data is<br />

disaggregated by gender, disaggregation is often limited<br />

to vital demographic indicators such as sex ratios<br />

and literacy rates. This fails to capture the gendered<br />

manner in which power and access play out or the<br />

way in which gendered roles and expectations interact<br />

with and play out through public policy (for example,<br />

service provision in water and sanitation).<br />

Participants listed key sources and repositories of<br />

data. National census and statistical departments<br />

were highlighted as traditional sources of important<br />

data. Ministries, development partners, private sector<br />

and civil society organizations were also mentioned<br />

as sources for data related to relevant thematic areas.<br />

Challenges, however, were noted in data collection<br />

(what data is collected) and disaggregation (critical for<br />

advancing equality); for many countries and in many<br />

contexts, collecting gender sensitive data is simply<br />

not a political priority. Participants underscored the<br />

importance of relevant, timely and comparable data<br />

for evidence based decision-making and underscored<br />

the challenges faced by policy-makers and programme<br />

implementers in accessing and using data for evidence<br />

based decision-making. Indeed, even if data is collected<br />

and disaggregated, limitations to use abound.<br />

Evaluating the Sustainable Development Goals with<br />

an Equity-focused and Gender-responsive Lens 15

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