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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Reliable qualitative data for safety and risk management

Davies, John B. and Ross, A. and Plunkett, M. (2005) Reliable qualitative data for safety and risk management. Process Safety and Environmental Protection, 83 (B2). pp. 117-121. ISSN 0957-5820

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Abstract

Many industries collect event data on technical, operational and human factors failures, which include short textual or 'qualitative' reports. These reports, whilst often rich in information about the motives and intentions of staff, offer a particular analysis problem, and consequently they often accumulate in filing cabinets with their potential as decision-making aids unrealized. In this paper we will argue that textual (or verbal) accounts are quite acceptable as evidence in safety management, provided they are dealt with rigorously and systematically. The watchword for what should or should not be accepted into risk models or safety databases is reliability. Reliable data generated from 'the things people say' should not be seen as inherently 'less worthy' than reliable data from any other source. In fact, once reliability is established, frequency output from coded discourse can be treated much as frequencies from any engineered system, and are just as amenable to statistical manipulation. The result of taking the time to analyse such data fully is an integrated risk management system where the 'soft' versus 'hard' data distinction is replaced by a 'reliable' versus 'unreliable' data model, this paradigm offering maximum benefit from data collected.