Download - Research Data Management for Support Staff Jonathan Rans & Kerry Miller, Digital Curation Centre
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Research Data Management for Support Staff
Jonathan Rans & Kerry Miller, Digital Curation Centre
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About this course
Short presentations with exercises and discussion
Five main sections Research data and RDM (30 mins) RDM at Surrey (15 mins) Skills exercise Data Management Planning (30 mins) Data sharing (30 mins) Breakout sessions –
Practical DMP support or Metadata and Documentation
Lunch @ 13:30
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Introductions
Introduce yourself and offer a reflection on the questions:
What is your understanding of research?
Do you know anything about data management?
What do you want to find out today?
How do you see yourself supporting RDM?
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Research data and RDM
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So, what is meant by ‘research data’?
Anything & everything produced in the course of
research
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Defining research data
Research data are collected, observed or created, for the purposes of analysis to produce and validate original research results
Both analogue and digital materials are 'data'
Lab notebooks and software may be classed as 'data'
Digital data can be: created in a digital form ('born digital') converted to a digital form (digitised)
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Types of research data Instrument measurements
Experimental observations
Still images, video and audio
Text documents, spreadsheets, databases
Quantitative data (e.g. household survey data)
Survey results & interview transcripts
Simulation data, models & software
Slides, artefacts, specimens, samples
Sketches, diaries, lab notebooks …
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What is data management?
“the active management and appraisal of data over the lifecycle of scholarly and scientific interest”
Digital Curation Centre
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What is involved in research data management (RDM)?
Data Management Planning
Creating data
Documenting data
Accessing / using data
Storage and backup
Sharing data
Preserving data
Create
Document
Use
Store
Share
Preserve
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What do research funders expect?
http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
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RDM principles and advice to share with researchers
See in particular:
UK Data Archive, Managing and sharing data: best practice for researchers http://data-archive.ac.uk/media/2894/managingsharing.pdf
n.b. Data Management Planning and Data Sharing are covered in separate sections
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Data creation
Decide what data will be created and how - this should be communicated to the whole research team
Develop procedures for consistency and data quality
Choose appropriate software and formats - some are better for long-term preservation and reuse
Ensure consent forms, licences and partnership agreements don’t limit options to share data if desired
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Documentation
Collect together all the information users would need to understand and reuse the data
Create metadata at the time - it’s hard to do later
Use standards where possible
Name, structure and version files clearly
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Access and use
Restrict access to those who need to read/edit data
Consider the data security implications of where you store data and from which devices you access files
Choose appropriate methods to transfer / share data filestores & encrypted media rather than email & Dropbox
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Storage and backup
Use managed services where possible e.g. Surrey shared drives rather than local or external hard drives
Ask the local IT team for advice
3… 2… 1… backup! at least 3 copies of a file on at least 2 different media with at least 1 offsite
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Data selection
It’s not possible – or desirable - to keep everything.
Select based on:
What has to be kept e.g. data underlying publications
What legally must be destroyed
What can’t be recreated e.g. environmental recordings
What is potentially useful to others
The scientific or historical value
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Guidance on selection and appraisal
http://www.dcc.ac.uk/resources/how-guides
http://www.nerc.ac.uk/research/sites/data/documents/data-value-checklist.pdf
https://intranet.birmingham.ac.uk/as/libraryservices/records/guidelines.aspx
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Data preservation
Be aware of requirements to preserve data
Consult and work with experts in this field
Use available subject repositories, data centres and structured databases http://databib.org http://www.re3data.org/ http://www.zenodo.org
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Skills
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Defining institutional strategy and policy Implementing infrastructure Advising researchers Developing and delivering training Supporting data management planning Supporting data sharing ...
www.dcc.ac.uk/community/institutional-engagements
How are support staff engaging in RDM?
Library
IT
ResearchOffice
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When does RDM engagement happen?
Responding to researcher requests Institutional support projects Fulfilling funder requirements FOI requests Etc.
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Exercise: skills to support RDM Based on the activities we discussed earlier, consider who may
have relevant skills or expertise to share.You have 15 minutes
Activity The Library IT Research Enterprise Services
Other Research Support Services
Copyright
Data Citation
Information Literacy
Data Storage
Digital Preservation
Metadata
…
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Conclusion
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Acknowledgement
This Training has been adapted from the RDM for Librarians course created jointly by the DCC and the University of Northampton. Full details at:
http://www.dcc.ac.uk/training/rdm-librarians
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Acknowledgement
Ideas and content have been taken from various courses:
Skills matrix, ADMIRe project, University of Nottinghamhttp://admire.jiscinvolve.org/wp/2012/09/18/rdmnottingham-training-event
DIY Training Kit for Librarians, University of Edinburghhttp://datalib.edina.ac.uk/mantra/libtraining.html
Managing your research data, Research360, University of Bathhttp://opus.bath.ac.uk/32296
RDMRose Lite, University of Sheffieldhttp://rdmrose.group.shef.ac.uk/?page_id=364
RoaDMaP training materials, University of Leedshttp://library.leeds.ac.uk/roadmap-project-outputs
SupportDM modules, University of East Londonhttp://www.uel.ac.uk/trad/outputs/resources