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Research data management:
an overview
Slides provided by Research Support Team,
IT Services, University of Oxford
What does data include?
“A reinterpretable representation of information in a formalized
manner suitable for communication...
What does data include?
Any information you use in your
research
Slide adapted from
the PrePARe Project
Research data
mana...
What is research data management?
Research data
management: an
overview
Storage
Organizing
Preservation
Documenting
Sharin...
Carrots and sticks
 Work efficiently and
with minimum hassle
now
 More time for the
meat of the research
process
 Avoid...
Policy and funder requirements
 University of Oxford Policy states that the data
needed to support research outputs shoul...
„What a mess‟ by .pst, via Flickr: http://www.flickr.com/photos/psteichen/3915657914/.
Can you find what you
need, when yo...
Hierarchical systems vs. tagging
 Hierarchical organization uses nested folders
 Default option for most operating syste...
Hyperlinks and shortcuts
 Hyperlinks can lead to other files on your
computer, as well as Web links
 Use shortcuts to av...
File naming
 Aim for concise but informative names
 Ideally, you should be able to tell what‟s in a file
without opening...
File naming strategies – examples
 Order by date:
2013-04-12_interview-recording_THD.mp3
2013-04-12_interview-transcript_...
File naming strategies – examples
In retrospect I am not very happy with the method I
used for naming files. The biggest p...
What‟s obvious
now might not
be in a few
months, years,
decades…
Adapted from „Clay Tablets with Linear B Script‟ by Denni...
Are you using the right tools for the job?
 Take time to assess whether your current
software and methods are meeting you...
Bibliographic software
 A great tool for managing citations...
 ... And for much more than that
 Options include EndNot...
Tools and technologies for managing data
 Word tables and spreadsheets may be fine for
small, straightforward tasks
 Mor...
Relational databases
Research data
management: an
overview
ORDS – Online Research Database
Service
 Specifically designed for academic research data
 Cloud-hosted and automaticall...
XML (and XML databases)
 A means of tagging information so that it
become machine-readable
 Allows complex textual analy...
XML
Research data
management: an
overview
Smartpens
 A quick way of digitizing handwritten notes
 Searchable – to a point
 Record audio
 Link the recording to
y...
Research Skills Toolkit
 Website and hands-
on workshops
 A guide to software,
University services,
and other tools and
...
IT Learning Programme
 Over 200 different IT
courses
 Covering software, skills,
and new technologies
 ITLP Portfolio o...
http://blogs.ch.cam.ac.uk/pmr/2011/08/01/why-you-need-a-data-management-plan/
Backing up is
easier than
replacing
lost dat...
Make multiple copies…
…and keep them in different places
Automate the
process if you can
Slide adapted from
the PrePARe Pr...
IT Services: data back-up on the HFS
 HFS is Oxford‟s central back-up and archiving
service
 Free of charge to Universit...
File syncing
 If you work on
multiple devices,
consider file syncing
software
 Always have the
latest copy of your
files...
Repositories and archives
 Data repositories or archives offer a secure long-term
home for research data and other reusab...
ORA-Data (formerly known as DataBank)
 University of Oxford‟s institutional data archive
 Will work alongside ORA-Public...
Consider a data management plan
 A document which may be created in the early
stages of a project
 While planning, apply...
Digital Curation Centre
 A national service
providing advice and
resources
 Create a data
management plan
using the DMP ...
DMP20
 DMP20 is an online form that allows the
creation of a simple data management plan
 Based on David Shotton‟s Twent...
IT Services: Research Support Team
 Can assist with technical aspects of research
projects at all stages of the project l...
Research data management website
 Oxford‟s central
advisory website
 University policy
is available
 Questions?
Email
r...
Research Data MANTRA
 Free online
interactive
training modules
 Aimed at
postgraduates
and early career
researchers
http...
Upcoming courses and events
 Preparing Your Research Material for the Future: What
You Can Do Now to Avoid Problems Later...
Any questions?
Ask now, or email us on
researchdata@ox.ac.uk
Research data
management: an
overview
Rights and re-use
 This presentation is part of a series of research data management
training resources prepared by the R...
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Research Data Management: An Overview - 2014-05-12 - Humanities Division, University of Oxford

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This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.

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Research Data Management: An Overview - 2014-05-12 - Humanities Division, University of Oxford

  1. 1. Research data management: an overview Slides provided by Research Support Team, IT Services, University of Oxford
  2. 2. What does data include? “A reinterpretable representation of information in a formalized manner suitable for communication, interpretation, or processing.” Digital Curation Centre Slide adapted from the PrePARe Project Research data management: an overview
  3. 3. What does data include? Any information you use in your research Slide adapted from the PrePARe Project Research data management: an overview
  4. 4. What is research data management? Research data management: an overview Storage Organizing Preservation Documenting Sharing Choosing technology Versioning Structuring Backing up Curation Security
  5. 5. Carrots and sticks  Work efficiently and with minimum hassle now  More time for the meat of the research process  Avoid problems in the future  University of Oxford Policy on the Management of Research Data and Records  Funding body requirements Research data management: an overview
  6. 6. Policy and funder requirements  University of Oxford Policy states that the data needed to support research outputs should be:  Accurate, complete, identifiable, retrievable, and securely stored  Able to be made available to others  Funders are also taking an increasing interest in data  Data management plans as part of applications  Many require data to be shared at the end of a project Research data management: an overview
  7. 7. „What a mess‟ by .pst, via Flickr: http://www.flickr.com/photos/psteichen/3915657914/. Can you find what you need, when you need it? Research data management: an overview
  8. 8. Hierarchical systems vs. tagging  Hierarchical organization uses nested folders  Default option for most operating systems  Tagging allows more flexibility  Items can be in multiple categories  Some operating systems support tagging  File tagging software is also available  Sort… or search? Research data management: an overview
  9. 9. Hyperlinks and shortcuts  Hyperlinks can lead to other files on your computer, as well as Web links  Use shortcuts to avoid duplicating files  Create project folders to group related material together  Access key folders quickly with the Windows „Favorites‟ feature Research data management: an overview
  10. 10. File naming  Aim for concise but informative names  Ideally, you should be able to tell what‟s in a file without opening it  Think about the ordering of elements within a filename  YYYY-MM-DD dates allow chronological sorting  You can force an order by adding a number at the beginning of the name  Consider including version information Research data management: an overview
  11. 11. File naming strategies – examples  Order by date: 2013-04-12_interview-recording_THD.mp3 2013-04-12_interview-transcript_THD.docx 2012-12-15_interview-recording_MBD.mp3 2012-12-15_interview-transcript_MBD.docx  Order by subject: MBD_interview-recording_2012-12-15.mp3 MBD_interview-transcript_2012-12-15.docx THD_interview-recording_2013-04-12.mp3 THD_interview-transcript_2013-04-12.docx  Order by type: Interview-recording_MBD_2012-12-15.mp3 Interview-recording_THD_2013-04-12.mp3 Interview-transcript_MBD_2012-12-15.docx Interview-transcript_THD_2013-04-12.docx  Forced order with numbering: 01_THD_interview-recording_2013-04-12.mp3 02_THD_interview-transcript_2013-04-12.docx 03_MBD_interview-recording_2012-12-15.mp3 04_MBD_interview-transcript_2012-12-15.docx Research data management: an overview
  12. 12. File naming strategies – examples In retrospect I am not very happy with the method I used for naming files. The biggest problem was with the newspaper articles I downloaded… I named the files only based on the topic of the article, without mentioning the name of the periodical and the year of publication, which would have been very useful later, when I began writing the thesis. – Doctoral student researching communication history Research data management: an overview
  13. 13. What‟s obvious now might not be in a few months, years, decades… Adapted from „Clay Tablets with Linear B Script‟ by Dennis, via Flickr: http://www.flickr.com/photos/archer10/5692813531/ MAKE SURE YOU CAN UNDERSTAND IT LATER Slide adapted from the PrePARe Project Research data management: an overview
  14. 14. Are you using the right tools for the job?  Take time to assess whether your current software and methods are meeting your needs  Sticking with old familiars can be false economy  Ask friends and colleagues for recommendations Research data management: an overview
  15. 15. Bibliographic software  A great tool for managing citations...  ... And for much more than that  Options include EndNote, RefWorks, Zotero, Mendeley, Colwiz, and many more  For comparisons, see the Oxford LibGuide Managing Your References Research data management: an overview
  16. 16. Tools and technologies for managing data  Word tables and spreadsheets may be fine for small, straightforward tasks  More complex projects might benefit from a relational database  Microsoft Access, FileMaker Pro, etc.  Or a qualitative data analysis package  Nvivo, Atlas.ti, etc.  Or an XML database Research data management: an overview
  17. 17. Relational databases Research data management: an overview
  18. 18. ORDS – Online Research Database Service  Specifically designed for academic research data  Cloud-hosted and automatically backed up  Web interface makes collaboration straightforward  If desired, databases can easily be made public  Designed to permit easy archiving  Currently being used by a small group of test users – will become more widely available later in 2014  http://ords.ox.ac.uk/ Research data management: an overview
  19. 19. XML (and XML databases)  A means of tagging information so that it become machine-readable  Allows complex textual analysis  Can indicate proper names, parts of speech, variant readings, or any other characteristic of a section of text  TEI XML is the standard for the humanities  Also useful for preparing texts for display on the Web Research data management: an overview
  20. 20. XML Research data management: an overview
  21. 21. Smartpens  A quick way of digitizing handwritten notes  Searchable – to a point  Record audio  Link the recording to your notes  Brands include Livescribe Research data management: an overview
  22. 22. Research Skills Toolkit  Website and hands- on workshops  A guide to software, University services, and other tools and resources for research  Requires SSO login http://www.skillstoolkit.ox.ac.uk/ Research data management: an overview
  23. 23. IT Learning Programme  Over 200 different IT courses  Covering software, skills, and new technologies  ITLP Portfolio offers course materials and other resources http://portfolio.it.ox.ac.uk/ http://www.oucs.ox.ac.uk/itlp/ Research data management: an overview
  24. 24. http://blogs.ch.cam.ac.uk/pmr/2011/08/01/why-you-need-a-data-management-plan/ Backing up is easier than replacing lost data… Slide adapted from the PrePARe Project Research data management: an overview
  25. 25. Make multiple copies… …and keep them in different places Automate the process if you can Slide adapted from the PrePARe Project Research data management: an overview
  26. 26. IT Services: data back-up on the HFS  HFS is Oxford‟s central back-up and archiving service  Free of charge to University staff and postgraduates  Automated back-ups of machines connected to University network  Copies kept in multiple places Research data management: an overview
  27. 27. File syncing  If you work on multiple devices, consider file syncing software  Always have the latest copy of your files available  But be careful with sensitive data Research data management: an overview
  28. 28. Repositories and archives  Data repositories or archives offer a secure long-term home for research data and other reusable material  Repositories for humanities material include the UK Data Archive, the Oxford Text Archive, the Archaeology Data Service, and others  Databib and Re3Data.org offer searchable catalogues of repositories  Figshare offers a DIY option Research data management: an overview
  29. 29. ORA-Data (formerly known as DataBank)  University of Oxford‟s institutional data archive  Will work alongside ORA-Publications to form a composite University archive  Long term preservation for datasets without another natural home  Plus records for data archived elsewhere  In some cases, may be a suitable home for DPhil data Research data management: an overview
  30. 30. Consider a data management plan  A document which may be created in the early stages of a project  While planning, applying for funding, or setting up  An initial plan may be expanded later  Details plans and expectations for data  Nature of data and its creation or acquisition  Storage and security  Preservation and sharing Research data management: an overview
  31. 31. Digital Curation Centre  A national service providing advice and resources  Create a data management plan using the DMP online tool https://dmponline.dcc.ac.uk/ http://www.dcc.ac.uk/ Research data management: an overview
  32. 32. DMP20  DMP20 is an online form that allows the creation of a simple data management plan  Based on David Shotton‟s Twenty Questions for Research Data Management http://www.miidi.org/dmp/ Research data management: an overview
  33. 33. IT Services: Research Support Team  Can assist with technical aspects of research projects at all stages of the project lifecycle  Help with DMPs, selecting software or storage, etc.  But the earlier you seek advice, the better  For more information, see: http://research.it.ox.ac.uk/ Research data management: an overview
  34. 34. Research data management website  Oxford‟s central advisory website  University policy is available  Questions? Email researchdata @ox.ac.uk http://researchdata.ox.ac.uk/ Research data management: an overview
  35. 35. Research Data MANTRA  Free online interactive training modules  Aimed at postgraduates and early career researchers http://datalib.edina.ac.uk/mantra/ Research data management: an overview
  36. 36. Upcoming courses and events  Preparing Your Research Material for the Future: What You Can Do Now to Avoid Problems Later  Monday 9th June 2014 (7th week), 2pm-4pm, Radcliffe Humanities  Things To Do With Data lunchtime talk series (see http://research.it.ox.ac.uk/datatalks)  Research Support Team‟s course listings page  Details of future events  Slides and handouts from past ones Research data management: an overview
  37. 37. Any questions? Ask now, or email us on researchdata@ox.ac.uk Research data management: an overview
  38. 38. Rights and re-use  This presentation is part of a series of research data management training resources prepared by the Research Support Team at IT Services, University of Oxford.  Parts of this slideshow draw on material produced as part of the Oxford-based DaMaRO Project, and on resources produced by the PrePARe Project  With the exception of clip art used with permission from Microsoft, and commercial logos and trademarks, and images specifically credited to other sources, the slideshow is made available under a Creative Commons Attribution Non-Commercial Share-Alike License  Within the terms of this licence, we actively encourage sharing, adaptation, and re-use of this material Research data management: an overview

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