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