Datum in action jisc final event 23032012 v1 1 linked

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These slides were produced for the JISCMRD Workshop: Meeting challenges in RDM Planning, 23 Mar 2012 by the project "DATUM in Action Supporting researchers to plan and manage their research data". The "DATUM in Action" team consists of Jeremy Ellman, Sue Childs and Principal Investigator Prof Julie McLeod all of Northumbria University, UK

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  • There is a video to go with this presentation at: http://youtu.be/yqV1VOqwy1c
  • To help a collaborative group of researchers on an EU FP7 staff exchange project define & implement good research data management (RDM) practice
  • MATSIQELisdeveloping mathematical & computer models for technological solutions (e.g. monitors, telecare, recreational games) for improving and enhancing quality of life. Focus on WP4/5.
  • Datum in action jisc final event 23032012 v1 1 linked

    1. 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 SciencesJISCMRD Action – Healthy research needs RDM PLanning,23 Mar 2012DATUM in Workshop: Meeting challenges in healthy data
    2. 2. Outline DATUM in Action & its research project target: MATSIQEL MATSIQEL data requirements Infrastructure element: a software solution ConclusionsDATUM in Action – Healthy research needs healthy data 1
    3. 3. DATUM in Action Steps Infrastructure1. Requirements analysis 1. Training & mentoring DMP (based on DCC & tailored)2. Data management plan 2. Guidance3. 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 controlDATUM in Action – Healthy research needs healthy data 2
    4. 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. 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 ManagementDATUM in Action – Healthy research needs healthy data 4
    6. 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 GUIDATUM in Action – Healthy research needs healthy data 5
    7. 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. 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. 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 SharePointDATUM in Action – Healthy research needs healthy data 8
    10. 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/YQV1VOQWY1CDATUM in Action – Healthy research needs healthy data

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