DATUM for Health » History » Version 20

Steve Welburn, 2012-11-13 12:51 PM

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h1. "DATUM for Health":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/?view=Standard
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{{toc}}
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Comprises 3 sessions:
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* "Introduction":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session1/ to research data management
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* Data curation "lifecycle":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session2/
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* Problems and practical "strategies and solutions":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session3/
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* [[DATUM_for_Health#Session 1: Introduction To Data Management|Session 1: Introduction To Data Management]]
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* [[DATUM_for_Health#Session 2: Data Curation Lifecycle|Session 2: Data Curation Lifecycle]]
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* [[DATUM_for_Health#Session 3: Problems and practical strategies and solutions|Session 3: Problems and practical strategies and solutions]]
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Plus additional notes for:
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* Data For Life - "Digital Preservation for Health Sciences":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session4/
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Downloadable from "Jorum":http://dspace.jorum.ac.uk/xmlui/handle/123456789/15904 (CC-BY-NC-SA)
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h2. Session 1: Introduction To Data Management
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* What is research data ?
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* Where is your research data ?
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* Why manage research data
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** a requirement 
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** to work effectively & efficiently 
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** to protect it
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** for use and/or re-use
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** to share it
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** for preservation
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** because it is good research practice
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* How to manage research data
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* The research data lifecycle
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** Plan / Create / Analyse / Preserve / Share /Use (and repeat...)
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* Creating a DMP
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h2. Session 2: Data Curation Lifecycle
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* What is data curation ?
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* Why curate ?
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** Requirements
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** Rewards
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* DCC Data Curation Lifecycle Model
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** Conceptualise - planning
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** Create - collection & analysis
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** Appraise - selection
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** Ingest - transferring to a custodian
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** Preserve - keeping data over time
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** Store - keeping data safe
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** Access - finding data
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** Transform - generating new data
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h2. Session 3: Problems and practical strategies and solutions
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* What problems are there ?
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** Conflicting considerations
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** Resource issues
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** anything else ?
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* Conflicts
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** Confidentiality and sharing
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*** personal and sensitive data - anonymisation, consent
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* Data security and storage
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** File and folder names
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** Locations
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** Email is not secure
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** Physical security - destroy USB sticks, shred documents
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* Metadata