Sound Data Management Training

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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Comprises 3 sessions:
* "Introduction":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session1/ to research data management
* Data curation "lifecycle":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session2/
* Problems and practical "strategies and solutions":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session3/

* [[DATUM_for_Health#Session 1: Introduction To Data Management|Session 1: Introduction To Data Management]]
* [[DATUM_for_Health#Session 2: Data Curation Lifecycle|Session 2: Data Curation Lifecycle]]
* [[DATUM_for_Health#Session 3: Problems and practical strategies and solutions|Session 3: Problems and practical strategies and solutions]]

Plus additional notes for:
* Data For Life - "Digital Preservation for Health Sciences":http://www.northumbria.ac.uk/sd/academic/ceis/re/isrc/themes/rmarea/datum/health/materials/session4/

Downloadable from "Jorum":http://dspace.jorum.ac.uk/xmlui/handle/123456789/15904 (CC-BY-NC-SA)

h2. Session 1: Introduction To Data Management

* What is research data ?
* Where is your research data ?
* Why manage research data
** a requirement
** to work effectively & efficiently
** to protect it
** for use and/or re-use
** to share it
** for preservation
** because it is good research practice
* How to manage research data
* The research data lifecycle
** Plan / Create / Analyse / Preserve / Share /Use (and repeat...)
* Creating a DMP

h2. Session 2: Data Curation Lifecycle

* What is data curation ?
* Why curate ?
** Requirements
** Rewards
* DCC Data Curation Lifecycle Model
** Conceptualise - planning
** Create - collection & analysis
** Appraise - selection
** Ingest - transferring to a custodian
** Preserve - keeping data over time
** Store - keeping data safe
** Access - finding data
** Transform - generating new data

h2. Session 3: Problems and practical strategies and solutions

* What problems are there ?
** Conflicting considerations
** Resource issues
** anything else ?
* Conflicts
** Confidentiality and sharing
*** personal and sensitive data - anonymisation, consent
* Data security and storage
** File and folder names
** Locations
** Email is not secure
** Physical security - destroy USB sticks, shred documents
* Metadata