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Big Buckets: the future of retention scheduling? Prof Julie McLeod School of Computing, Engineering & Information Sciences Northumbria University iRMS North Meeting, Retention Schedules, 5 July 2012, Durham
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Acknowledgements Elizabeth Lomas & Chris Campbell Continued Communication Research Group 80 international, multidisciplinary co-researchers linking research and practice to answer one question: How can organisations maximise the potential of their communications taking into account the impact of the individual? -investigating communications in the 21 st century
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Reviewing ‘Big Buckets’ in practice A group discussion Overview Retention and appraisal The evolution of retention schedules: their pros and cons ‘Big Bucket’ retention schedules The retention solution? Conclusions
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Traditional Appraisal
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Functional Appraisal
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Macro-Appraisal
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What are Buckets?
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Applying RM principles, adapting practice
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Different approach to retention scheduling Fewer but wider record ‘series “an application of disposition instructions against a body of records grouped at a level of aggregation greater than the traditional file series or electronic system” (NARA, 2004) Risk based Cross functional Pragmatic Less effort/simpler
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Big buckets Origins of big buckets NARA Marcus, R. (2002). NARA: a sneak preview, Information Management Journal, V36(2), p.56-7. Context ERM application - autoclassification of records into a fileplan Initially known as ‘flexible scheduling’
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NARA 3 Buckets: Program Direction Administration Program Operation
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Government Accountability Office (US) 3 Primary Buckets: – Policy, Publications and Special Collections – permanent retention – Mission – 5 year retention – Administrative – 7 year retention
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Discussion Establish your bucket categories ‘Fill’ your buckets with sample record series What are the pros and cons of big buckets
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Conclusions Simple concept, intuitively appealing How many ‘big’ buckets works? “a lot of dead wood for a long time, which means a variety of additional costs” (Montana, 2010) “The secret to appraising records is to put a bag over them, and focus on the context of their creation” David Bearman, In Cook, T. (2005). Macroappraisal in theory and practice. Archival Science, 5 (2-4), p. 101-161.
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Records Management Journal www.emeraldinsight.com/login Login: RMSNorth Password: emerald12
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Records Management Journal Bailey, S. The metadatabase: the future of the retention schedule as a records management tool. V9 (1), 1999, p33-45 Beneito Arias, P. Appraising the value of statistical records of the European Central Bank for retention scheduling purposes. V18(3), p.205-220 Ekweozor, U & Theodoulidis, B. Review of retention management software systems. V14 (2), 2004, p. 65-77 Man, E. A functional approach to appraisal and retention scheduling. V15(1), (2005), p21-33 Serewicz, LW. Do we need bigger buckets or better search engines? The challenge of unlimited storage and semantic web search for records management. V20 (2), 2010, p.172-181 Sims, F. A new appraisal approach for English Heritage, V12 (1), 2002, p.8-13 Review of: Mayer-Schonberger, V. Delete: The Virtue of Forgetting in the Digital Age, V20 (1), p138 Review of: Montana, J. How to Develop a Retention Schedule. V20 (3), 2010, p.302
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