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It is important that training on <strong>service</strong> provision <strong>to</strong> <strong>minority</strong> <strong>ethnic</strong> groups explains the importance of data<br />

collection. There are examples in this report that could be used <strong>to</strong> explain effective use of data, such as the<br />

Central Scotland Police initiative ‘Safer Businesses for Ethnic Minorities’ in which statistics indicated that over<br />

60 per cent of racist incidents occurred within business premises owned/managed by members of <strong>ethnic</strong><br />

<strong>minority</strong> communities and so a project was set up <strong>to</strong> address the issue.<br />

252_Caroline Coleman,<br />

South Tyrone Empowerment<br />

Programme (STEP),<br />

speaking at the conference.<br />

Data can be gathered from a number of sources, and it is important that complementary data sources are<br />

used. For example, Census data in Northern Ireland is widely acknowledged <strong>to</strong> be out of date and provides<br />

inadequate differentiation of <strong>ethnic</strong>ity vis-à-vis the actual <strong>ethnic</strong> make-up of the jurisdiction; or in the Republic<br />

of Ireland data on PPSN provides only flows of workers from the EU, including EU Accession States and<br />

does not represent the actual number of workers in the country. Quantitative and qualitative research may also<br />

be required <strong>to</strong> provide an accurate profile of <strong>service</strong> users and potential <strong>service</strong> users. As described above,<br />

traditional quantitative research may not in itself be adequate in planning <strong>service</strong> <strong>delivery</strong> for <strong>minority</strong> <strong>ethnic</strong><br />

groups. One panellist’s view at the conference in response <strong>to</strong> a question on data collection was:<br />

“ I work with what is probably a very highly nomadic community [migrant workers] as<br />

are some are the Traveller organisations that are here. One size doesn’t fit all. The kind<br />

of data that we use <strong>to</strong> provide <strong>service</strong>s for the majority of the community does not<br />

necessarily work for the <strong>minority</strong> community. I would prefer <strong>to</strong> see qualitative information,<br />

really good examples of good models…” 252<br />

This is indicative of the fact that traditional data collection mechanisms in Northern Ireland have not served the<br />

migrant worker population well and <strong>service</strong> providers are struggling <strong>to</strong> deal with this. Data collection based on a<br />

variety of sources will help with <strong>service</strong> <strong>delivery</strong> planning, including target setting, and resource planning and will<br />

be useful for benchmarking against the targets set. The table below describes the data collection process, uses<br />

and sources.<br />

Table 12: Data Collection<br />

Ascertain: Purpose Data source<br />

1 Who is currently using the<br />

<strong>service</strong><br />

2 Who is not currently using the<br />

<strong>service</strong><br />

3 What the outcomes are for the<br />

client groups<br />

Clients <strong>to</strong> be engaged in<br />

relation <strong>to</strong> planning and<br />

evaluating <strong>service</strong> provision.<br />

Need <strong>to</strong> engage and ascertain<br />

why they are not accessing<br />

the <strong>service</strong> (e.g. systemic<br />

barriers).<br />

Establishing trends in <strong>minority</strong><br />

<strong>ethnic</strong> groups in relation<br />

<strong>to</strong> outcomes (e.g. socioeconomic<br />

indica<strong>to</strong>rs).<br />

Internal data collated by the<br />

organisation.<br />

External data (e.g. Census –<br />

if accurate), cross-referenced<br />

with internal data (from no.1<br />

above).<br />

Internal and external data<br />

sources (e.g. examination<br />

results within a school as an<br />

internal data source).<br />

What has emerged from the research is that some current data collection is inadequate, missing, inaccurate or<br />

piecemeal. Ideally <strong>service</strong> providers in each jurisdiction would develop standard data collection categories or<br />

‘fields’ for forms, databases and reporting. Also, for the purposes of cross-border co-operation and comparability,

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