Helping you meet the EPSRC guidelines
The webinar starts at 1pm (GMT) and is expected to last 45min
5th February 2015 #readyforepsrc
Our speakers
Dr Matthew Addis
CTO
Akivum
Timothy Miles-Board
Senior Web & Repositories Developer
ULCC
5th February 2015 #readyforepsrc
AGENDA
INTRODUCTIONS
YOUR READINESS & CONCERNS
EPSRC EXPECTATIONS & BEST PRACTICE
Q&A SESSION
CLOSE
5th February 2015 #readyforepsrc
About ULCC
ESTABLISHED IN 1968
FOLLOWINGRECOMMENDATIONS BY THE FLOWERS REPORT
FACTS & FIGURES
• 300+ UK INSTITUTIONS
• 30 REPOSITORIES FOR UK HEIs
• 3 MILLION REGISTERED MOODLE USERS
• 2 DATA CENTRES
5th February 2015 #readyforepsrc
About Arkivum
We’ll store your data for 25 years*,100% guaranteed data safety
* Longer is OK too!
5th February 2015 #readyforepsrc
Arkivum in 60 seconds
5th February 2015 #readyforepsrc
SLA with 100% data
integrity guaranteed
World-wide professional
indemnity insurance
Long term contracts for
enterprise data archiving
Fully automated and
managed solution
Audited and certified
to ISO27001Data escrow, exit
plan, no lock-in
How prepared are you?
12%
37%
40%
11%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Very well prepared Well prepared Slighty unprepared Extremely unprepared
5th February 2015 #readyforepsrc
What are your main concerns?
34%
8%8%
21%
18%
11%
Compliance
Digital Preservation
Funding
Internal Awareness
Technical How To
Timescales
5th February 2015 #readyforepsrc
Here are some of your concerns
“Concern about what constitutes 'sufficient' metadata to describe a dataset, and the type of data the EPSRC want to see made available/deposited.”
“Lack of clarity on types of data to be kept, and getting the infrastructure in place in time.”
“Cost of setting up and maintaining systems to deal with RDM; staff resource.”
“Planning for data storage capacity ... active and archive”
5th February 2015 #readyforepsrc
EPSRC Expectations
1. Promote Internal Awareness
2. Access to underlying research data
3. Policies & procedures in place to log access requests
4. Metadata
5. Securely preserve data for 10 years (or more)
6. Data curation throughout the data lifecycle
7. Funding of resources
5th February 2015 #readyforepsrc
1. Internal Awareness
Some good examples:
Edinburgh, Mantra – RDM Training: http://datalib.edina.ac.uk/mantra/Glasgow: http://www.gla.ac.uk/services/datamanagement/training/Leeds: http://library.leeds.ac.uk/info/424/support/215/training-online/1UEL: http://www.uel.ac.uk/trad/ULCC – DPTP: www.dptp.org
5th February 2015 #readyforepsrc
Benefiting researchers: the key to unlock RDM• More citations
• More downloads
• More collaborations
• More funding
• One place to go
• Part of day to day business
• Easy to use with immediate pay-back
5th February 2015 #readyforepsrc
Tangible benefits
• 50% Storage cost savings
• 80% Infrastructure freed up
• 3% More time for PIs
• 1% More research income
• 4% Higher funding success rates
• 30% Increase data centric publications
• 69% More citations and impact
• 500% More data downloads
5th February 2015 #readyforepsrc
3. Policies & procedures
Aspirational vs Mandatory policy
Edinburgh, Oxford & Hertfordshire amongst the first to publish their policies
IRStats to measure access & reach
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2. and 4. Metadata and access to underlying research data
Recollect plugin
Collections plugin
DataCite plugin & DOIs
Repo-link - increase discover-ability of the data
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5th February 2015 #readyforepsrc
ePrints,Dspace,Fedora,Hydra,PURE Portal
FigshareLanding pagesCKANre3data.org
PUREElementsConveris
Institutional storage(e.g. HSM)
figshareweb interface
figsharestorage on Amazon
Arkivumappliance
Arkivumdata centres
CRIS
Institutional repositorysystems
Data andmetadata
Data andmetadata
Data
Data
Metadataand DOI
Metadataand DOI
Example – via Figshare
5th February 2015 #readyforepsrc
EPrintsweb interface
EPrintsstorage at ULCC
Arkivumappliance
Arkivumdata centres
Data andmetadata Data,
metadata & DOI Data
Data
Example – via EPrints
5th February 2015 #readyforepsrc
Mint DOI
EPrintsSearch & browse
Strategy
• Make it easy for the researchers
• One system for them to use that they are familiar with
• Helps make a clear and simple case to the EPSRC• EPrints or Figshare means research data is easy to find
• Arkivum means research data is safe
• DataCite means research data is citable
• Access requests are automatic or quick to satisfy
5th February 2015 #readyforepsrc
Low cost
• Way to cope with data growth
• Free up expensive resources
• Eliminate the ‘cost of loss’
High safety• Data reuse or regulatory compliance
• Data is immutable, replicated, managed
• Auditable integrity, authenticity, access
Easy access
• Quick to retrieve data when its needed
• Doesn’t have to be instant
Long term preservation
5th February 2015 #readyforepsrc
6. Data curation throughout the data lifecycle
“The key consideration is to have processes and support in place to ensure that data curation issues are being considered and addressed at the outset of a research project, rather than once the research has concluded.”
Kevin Ashley, Director, DCC
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Cost example from Oxford survey
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Creation• Staff time in labs generating data• Use, maintenance and acquisition of lab
equipment
£667,000 – 73%
Start-up Curation£215k –
24%
1% Local data management
2% - Back-up and long term file storage
Next steps
1. Recording of the webinar will be made available online in the next 48h
2. Email to all attendees with links to resources mentioned today and recording of webinar
3. Outstanding FAQs
5th February 2015 #readyforepsrc
Jisc #dataspring ideaThis idea focuses on linking records in EPrints to remotely stored research data. The key challenges we propose to address are:
1. Cut out the middle man - store data files directly without going through Eprints
2. Create a unified workflow - store data and create EPrints record at the same time
Get involved at:
Tweet us at @ulcc using the #dataspring hashtag
5th February 2015 #readyforepsrc
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