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  • Slide 1
  • An Introduction to Research Data Management Things To Do With Data Michaelmas 2014 Slides provided by Research Support Team, IT Services, University of Oxford
  • Slide 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
  • Slide 3
  • What does data include? Any information you use in your research Slide adapted from the PrePARe Project
  • Slide 4
  • What does research data management cover? Storage Organizing Preservation Documenting Sharing Choosing technology Versioning Structuring Backing up Curation Security
  • Slide 5
  • Relevant throughout the research process Planning and applying for funding Setting up and starting work Day-to-day work during the project Project conclusion
  • Slide 6
  • Carrots and sticks Enable efficient day- to-day work 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
  • Slide 7
  • University of Oxford policy Introduced July 2012
  • Slide 8
  • University of Oxford policy The full policy can be viewed on the Research Data Oxford websiteResearch Data Oxford Research data is defined as the information needed to support or validate a research projects observations, findings or outputs Research data should be: Accurate, complete, identifiable, retrievable, and securely stored Able to be made available to others
  • Slide 9
  • Funders requirements Funding bodies are taking an increasing interest in what happens to research data You may be required to make data publicly available at the end of a project Many funders require a data management plan as part of grant applications RDO website provides a summary of requirementssummary of requirements
  • Slide 10
  • Setting up and starting work Day-to-day work during the project Project conclusion
  • Slide 11
  • Data management plans A document created early on in 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
  • Slide 12
  • Benefits of data management plans Ask key questions before problems arise Have time to look for solutions Saves time and reduces stress Many tasks are straightforward if planned from the beginning, but much harder in retrospect A framework for ongoing review of data management practices
  • Slide 13
  • DMP Online Online data management planning tool Can be customized according to funding body https://dmponline.dcc.ac.uk/
  • Slide 14
  • Planning and applying for funding Day-to-day work during the project Project conclusion
  • Slide 15
  • What storage media are in use? How about file formats? Slide adapted from the PrePARe Project
  • Slide 16
  • Storage Departmental IT support may be able to provide server space or a shared drive IT Services NSMS offers server rental and management, storage on the Universitys private cloud, and other storage solutionsNSMS
  • Slide 17
  • Data security Is there data that needs special treatment? Sensitive or confidential information Commercial potential InfoSec at IT Services can provide advice see http://www.it.ox.ac.uk/infosec/ for more detailshttp://www.it.ox.ac.uk/infosec/
  • Slide 18
  • 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
  • Slide 19
  • LOCKSS Lots Of Copies Keeps Stuff Safe Keep copies in different places Can the process be automated? Slide adapted from the PrePARe Project
  • Slide 20
  • IT Services: data back-up on the HFS HFS is Oxfords central back-up and archiving service HFS Free of charge to University staff and postgraduates Automated back-ups of machines connected to University network Copies kept in multiple places
  • Slide 21
  • Choosing the right tools for the job Are current software and methods meeting your needs? Sticking with old familiars can be false economy Ask friends and colleagues for recommendations
  • Slide 22
  • Tools and technologies for managing data 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...
  • Slide 23
  • 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 Launched in the summer of 2014 http://ords.ox.ac.uk/ http://ords.ox.ac.uk/
  • Slide 24
  • Other data management tools and systems LabTrove an electronic lab notebook system LabTrove NeuroHub an information environment for managing data from lab-based research NeuroHub DataStage a secure personalized file management environment DataStage myExperiment record and share scientific workflows myExperiment Taverna for managing scientific workflows Taverna
  • Slide 25
  • Research Skills Toolkit Website and hands- on workshops A guide to software, University services, and other tools and resources for research http://www.skillstoolkit.ox.ac.uk/
  • Slide 26
  • Planning and applying for funding Setting up and starting work Project conclusion
  • Slide 27
  • Whats 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 /http://www.flickr.com/photos/archer10/5692813531 / MAKE SURE YOU CAN UNDERSTAND IT LATER Slide adapted from the PrePARe Project
  • Slide 28
  • Documentation and metadata Documentation is the contextual information required to make data intelligible and aid interpretation A users guide to data May be given at study level or data level Metadata is similar, but usually more structured Conforms to set standards Machine readable 2014 HBS Survey Results Joe Bloggs
  • Slide 29
  • Slide 30
  • M. Farinelli et al. (2012) PLoS ONE 7(3): e34047 Who created the data, when and why Description of the item Methodology and methods Units of measurement Definitions of jargon, acronyms and code References to related data Documentation what needs to be included www.texample.net Slide adapted from the PrePARe Project
  • Slide 31
  • Maintaining consistency Agree a set of standard working practices as early as possible in a project Method of recording whats been done to data and who did it File naming conventions Version information Have these clearly documented, and store the documentation centrally
  • Slide 32
  • Planning and applying for funding Setting up and starting work Day-to- day work during the project
  • Slide 33
  • Long term solutions Data repositories or archives offer a secure long-term home for research data Data can be embargoed if needed Databib and Re3Data.org offer searchable catalogues of repositories DatabibRe3Data.org Figshare offers a DIY option Figshare
  • Slide 34
  • ORA-Data (formerly known as DataBank) University of Oxfords 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
  • Slide 35
  • Planning ahead Data sharing needs to be planned from the beginning of a project With sensitive data, consent may be needed Third party data may come with restrictions If data is destined for a particular archive, they may have specific requirements Do they use a specific metadata schema, for example?
  • Slide 36
  • Data licensing A licence clarifies the conditions for accessing and making use of a dataset User knows whats allowed without asking further permission Doesnt exclude possibility of specific requests to go beyond the terms of the licence Licences used for data include Creative Commons and Open Data CommonsCreative CommonsOpen Data Commons
  • Slide 37
  • Further resources
  • Slide 38
  • Digital Curation Centre A national service providing advice and resources for the whole research data lifecycle http://www.dcc.ac.uk/
  • Slide 39
  • UK Data Archive Largest UK collection of social sciences and humanities data Advice on best practice for creating, preparing, storing and sharing data http://www.data-archive.ac.uk/
  • Slide 40
  • 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, modelling data, etc. But the earlier you seek advice, the better For more information, see: http://research.it.ox.ac.uk/ http://research.it.ox.ac.uk/
  • Slide 41
  • Research Data Oxford website Oxfords central advisory website University policy is available Questions? Email researchdata @ox.ac.uk researchdata @ox.ac.uk http://researchdata.ox.ac.uk/
  • Slide 42
  • Any questions? Ask now, or email us on [email protected] [email protected]
  • Slide 43
  • 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.Research Support Team Parts of this slideshow draw on material produced as part of the Oxford-based DaMaRO Project, and on resources produced by the PrePARe ProjectDaMaRO Project 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 LicenseMicrosoft 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