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DATUM in Action
   Supporting researchers to plan and manage
               their research data
        www.northumbria.ac.uk/datum
                      Dr Jeremy Ellman
                      Prof Julie McLeod
             School of Computing, Engineering &
                    Information Sciences

JISCMRD Action – Healthy research needs RDM PLanning,23 Mar 2012
DATUM in Workshop: Meeting challenges in healthy data
Outline
 DATUM in Action & its research project target:
  MATSIQEL

 MATSIQEL data requirements


 Infrastructure element: a software solution


 Conclusions
DATUM in Action – Healthy research needs healthy data   1
DATUM in Action
          Steps                                         Infrastructure

1. Requirements analysis                        1. Training & mentoring
                                                   DMP (based on DCC & tailored)
2. Data management plan
                                                2. Guidance
3. Supporting infrastructure                     researcher focused; what they
                                                 wanted; ’how to’ & links to existing
                                                 NU guidance; usable by other HEIs
     Action Research
        Approach                                  • roles & responsibilities
                                                  • folders, files & version control
                                                  • metadata
                                                  • information security


                                                3. Technology
                                                i. shared drive, MS Office
                                                ii. SharePoint (collaborative prototype)
                                                iii.Bazaar – version control

DATUM in Action – Healthy research needs healthy data                                   2
MATSIQEL: EU FP7 Research Project

 Data management requirements complex as
  research data is
   Confidential
      Partially anonymised
      Partly Proprietary
   Multiple Versions
      both Raw Data and Derived Data
      Multiple Level of access required/allowed
 Required Internationally
    EU and non EU
 DATUM in Action – Healthy research needs healthy data   3
Data Requirements
 Version Control
    Multiple copies of Raw Data
         Versions of Processing Software
    Multiple Versions of Processed Data
       Different Research Centres
 Distribution Control
 Central shared data space
    Authoritative record
 Permissions Management
DATUM in Action – Healthy research needs healthy data   4
BZR: Bazaar
 Distributed Version Control System
 Multiple Repositories
 Multiple Branches
 Local Check-in Check-out
 Multiple Platform
   Windows, Mac, Linux
 Huge Range of Tools
   bazaar-explorer cross platform GUI
DATUM in Action – Healthy research needs healthy data   5
VCS Vs DVCS




   Source: Auvray 2008 “Distributed Version Control Systems: A Not-So-Quick Guide”

DATUM in Action – Healthy research needs healthy data                                 6
Core Commands
   "bzr init" initializes Bazaar management for the current directory.
   "bzr add" makes all unknown files in the current directory known to Bazaar.
   "bzr status" generates a report of the current state of the local branch.
   "bzr commit -m "[commit-message]"" creates a commit
   "bzr mv [versioned-file] [new-location]" moves the [versioned-file]
   "bzr remove [file]" removes the specified file or files
    "bzr log" generates a log of every commit in sequence
    "bzr help [command]" the Bazaar help command provides embedded
    "bzr merge [location]" instructs Bazaar to merge changes
    "bzr pull" performs a fast-forward update of the local working
    "bzr update" merges the contents of the remote branch into the local branch
    "bzr push" performs the equivalent of a "bzr update" on the remote mirror
    "bzr uncommit" "rewinds" the branch to the last commit
   "bzr revert [file]" takes the specified file and reverts the contents of that

    DATUM in Action – Healthy research needs healthy data                           7
Conclusions
 Research data needs to be controlled
    Version control, protection and distribution are
     common requirements
 Distributed version control software is freely
  available
    BZR Repositories can be archived in SharePoint




DATUM in Action – Healthy research needs healthy data   8
DATUM in Action
  www.northumbria.ac.uk/datum
  Project funded by JISC
  Copyright holder: Northumbria University, School of
  Computing, Engineering & Information Sciences, 2011
  Materials made freely available under a Creative Commons Attribution-
  NonCommercial-ShareAlike 2.0 UK: England & Wales license

  For accompanying video see HTTP://YOUTU.BE/YQV1VOQWY1C

DATUM in Action – Healthy research needs healthy data

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Datum in action jisc final event 23032012 v1 1 linked

  • 1. DATUM in Action Supporting researchers to plan and manage their research data www.northumbria.ac.uk/datum Dr Jeremy Ellman Prof Julie McLeod School of Computing, Engineering & Information Sciences JISCMRD Action – Healthy research needs RDM PLanning,23 Mar 2012 DATUM in Workshop: Meeting challenges in healthy data
  • 2. Outline  DATUM in Action & its research project target: MATSIQEL  MATSIQEL data requirements  Infrastructure element: a software solution  Conclusions DATUM in Action – Healthy research needs healthy data 1
  • 3. DATUM in Action Steps Infrastructure 1. Requirements analysis 1. Training & mentoring DMP (based on DCC & tailored) 2. Data management plan 2. Guidance 3. Supporting infrastructure researcher focused; what they wanted; ’how to’ & links to existing NU guidance; usable by other HEIs Action Research Approach • roles & responsibilities • folders, files & version control • metadata • information security 3. Technology i. shared drive, MS Office ii. SharePoint (collaborative prototype) iii.Bazaar – version control DATUM in Action – Healthy research needs healthy data 2
  • 4. MATSIQEL: EU FP7 Research Project  Data management requirements complex as research data is  Confidential  Partially anonymised  Partly Proprietary  Multiple Versions  both Raw Data and Derived Data  Multiple Level of access required/allowed  Required Internationally  EU and non EU DATUM in Action – Healthy research needs healthy data 3
  • 5. Data Requirements  Version Control  Multiple copies of Raw Data  Versions of Processing Software  Multiple Versions of Processed Data  Different Research Centres  Distribution Control  Central shared data space  Authoritative record  Permissions Management DATUM in Action – Healthy research needs healthy data 4
  • 6. BZR: Bazaar  Distributed Version Control System  Multiple Repositories  Multiple Branches  Local Check-in Check-out  Multiple Platform  Windows, Mac, Linux  Huge Range of Tools  bazaar-explorer cross platform GUI DATUM in Action – Healthy research needs healthy data 5
  • 7. VCS Vs DVCS  Source: Auvray 2008 “Distributed Version Control Systems: A Not-So-Quick Guide” DATUM in Action – Healthy research needs healthy data 6
  • 8. Core Commands  "bzr init" initializes Bazaar management for the current directory.  "bzr add" makes all unknown files in the current directory known to Bazaar.  "bzr status" generates a report of the current state of the local branch.  "bzr commit -m "[commit-message]"" creates a commit  "bzr mv [versioned-file] [new-location]" moves the [versioned-file]  "bzr remove [file]" removes the specified file or files  "bzr log" generates a log of every commit in sequence  "bzr help [command]" the Bazaar help command provides embedded  "bzr merge [location]" instructs Bazaar to merge changes  "bzr pull" performs a fast-forward update of the local working  "bzr update" merges the contents of the remote branch into the local branch  "bzr push" performs the equivalent of a "bzr update" on the remote mirror  "bzr uncommit" "rewinds" the branch to the last commit  "bzr revert [file]" takes the specified file and reverts the contents of that DATUM in Action – Healthy research needs healthy data 7
  • 9. Conclusions  Research data needs to be controlled  Version control, protection and distribution are common requirements  Distributed version control software is freely available  BZR Repositories can be archived in SharePoint DATUM in Action – Healthy research needs healthy data 8
  • 10. DATUM in Action www.northumbria.ac.uk/datum Project funded by JISC Copyright holder: Northumbria University, School of Computing, Engineering & Information Sciences, 2011 Materials made freely available under a Creative Commons Attribution- NonCommercial-ShareAlike 2.0 UK: England & Wales license For accompanying video see HTTP://YOUTU.BE/YQV1VOQWY1C DATUM in Action – Healthy research needs healthy data

Hinweis der Redaktion

  1. There is a video to go with this presentation at: http://youtu.be/yqV1VOqwy1c
  2. To help a collaborative group of researchers on an EU FP7 staff exchange project define & implement good research data management (RDM) practice
  3. MATSIQELisdeveloping mathematical & computer models for technological solutions (e.g. monitors, telecare, recreational games) for improving and enhancing quality of life. Focus on WP4/5.