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essential-guide-to-qualitative-in-organizational-research

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–––––––––––––––––––––––––––– PRESERVING, SHARING AND REUSING DATA –––––––––– 291the Henry A. Murray Research Center, based at Radcliffe College, Harvard have focused on theeastern USA and on themes related <strong>to</strong> women’s studies. It is a multidiscipl<strong>in</strong>ary <strong>research</strong> centreand unusually it collects both <strong>qualitative</strong> and quantitative data, offer<strong>in</strong>g analysis <strong>in</strong> the reanalysisof both k<strong>in</strong>ds of data. Established <strong>in</strong> 1976, the Center now holds over 225 data sets, with especiallystrong hold<strong>in</strong>gs on human development and social change (James and Sorenson, 2000).The build up of a s<strong>to</strong>ck of <strong>qualitative</strong> data resources has thus encouraged the uptake ofsecondary analysis. As a result we have seen developments <strong>in</strong> the <strong>in</strong>tellectual arguments for andaga<strong>in</strong>st the reuse of data as well debates on the method. Before we explore these further it is useful<strong>to</strong> exam<strong>in</strong>e the resource s<strong>to</strong>cks <strong>to</strong> see what is available for reuse and how they can be accessed.TYPES AND SOURCES OF ARCHIVED QUALITATIVE DATA ––––––––––––––––––––––––––––––––––––––––Types of <strong>qualitative</strong> dataQualitative data are collected us<strong>in</strong>g <strong>qualitative</strong> <strong>research</strong> methodology and techniques acrossthe range of social science discipl<strong>in</strong>es. Strategies often encompass a diversity of methods and<strong>to</strong>ols rather than a s<strong>in</strong>gle one and the types of data collected depend on the aim of the study,the nature of the sample, and the discipl<strong>in</strong>e. As a result data types extend <strong>to</strong>: <strong>in</strong>-depth orunstructured, <strong>in</strong>dividual or group discussion <strong>in</strong>terviews, field and observation notes,unstructured diaries, observational record<strong>in</strong>gs, personal documents and pho<strong>to</strong>graphs.Qualitative <strong>research</strong> often <strong>in</strong>volves produc<strong>in</strong>g large amounts of raw data although the methodstypically employ small sample sizes. F<strong>in</strong>ally, these data may be created <strong>in</strong> a number of differentformats: digital, paper (typed and hand-written), audio, video and pho<strong>to</strong>graphic.By 2002, Qualidata had acquired, processed and catalogued some 140 datasets, andcatalogued a further 150 already housed <strong>in</strong> archives across the UK. Surviv<strong>in</strong>g ‘classic studies’data from key <strong>research</strong>ers was also rescued, <strong>in</strong>clud<strong>in</strong>g outstand<strong>in</strong>gly well-known s<strong>in</strong>gle projectssuch as Goldthorpe et al.’s The Affluent Worker (1968), the entire life’s work of pioneer<strong>in</strong>g<strong>research</strong>ers such as Peter Townsend (Family Life of Old People (1957) and The Last Refuge (1962)and Poverty <strong>in</strong> the UK (1979), and Paul Thompson <strong>in</strong>clud<strong>in</strong>g the life-his<strong>to</strong>ry <strong>in</strong>terview studiesof The Edwardians (1975) and 100 families (1991, 1993 and 1995).Archive collections of potential <strong>in</strong>terest <strong>to</strong> those conduct<strong>in</strong>g <strong>organizational</strong> <strong>research</strong> might<strong>in</strong>clude: Richard Brown’s 1970s study on Orientation <strong>to</strong> Work and Industrial Behaviour ofShipbuild<strong>in</strong>g Workers on Tyneside; Hilary Wa<strong>in</strong>wright’s collection <strong>in</strong>clud<strong>in</strong>g her 1970s tradesunion study on Lucas Aerospace and Vickers (Wa<strong>in</strong>wright and Elliott, 1982); Ray Pahl’s andC. Wallace’s 1980s study of Employers on the Isle of Sheppey; Chas Critcher et al.’s 1980swork on Split at the Seams?: Community, Cont<strong>in</strong>uity and Change after the 1984–5 CoalDispute; and Jan Webb’s 1980s <strong>research</strong> on New Technology and the Management ofExpertise <strong>in</strong> Cus<strong>to</strong>mer–Supplier Relations.PREPARING QUALITATIVE DATA FOR REUSE ––––––––––––––––––––––––––––––––––––––––––––––––––––In order for a data collection <strong>to</strong> be reusable, collections must be ‘processed’. This <strong>in</strong>volves arange of activities that will enable a data set <strong>to</strong> be reusable <strong>in</strong>clud<strong>in</strong>g: check<strong>in</strong>g, digitiz<strong>in</strong>g andoptical character recognition (OCR), convert<strong>in</strong>g, anonymiz<strong>in</strong>g, organiz<strong>in</strong>g, creat<strong>in</strong>g metadata

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