Service Integration to Enhance RDM

Service Integration to Enhance RDM:
RSpace electronic laboratory notebook
(ELN) case study
Stuart Macdonald (RDM Services Coordinator,
University of Edinburgh)
stuart.macdonald@ed.ac.uk
Rory Macneil (CEO, Research Space)
rmacneil@researchspace.com
10th International Digital Curation Conference, London, 10 February 2014

University of Edinburgh RDM Policy
 University of Edinburgh is one
of the first Universities in UK
to adopt a policy for managing
research data:
http://www.ed.ac.uk/is/resear
ch-data-policy
 The policy was approved by
the University Court on 16 May
2011.
 It’s acknowledged that this is
an aspirational policy and that
implementation will take some
years.

Policy implementation:
RDM Roadmap Colleagues in IS developed a roadmap
to deliver a suite of services that will
meet:
• RDM policy objectives
• the needs of our researchers
Cross-divisional collaboration
 3 Phases (Aug. 2012 – May 2015)
Services already in place:
o Data management planning
o Active working file space =
DataStore
o Data publication repository =
DataShare
Services in development:
o Long term data archive = DataVault
o Data Asset Register (DAR)
RDM support: Awareness raising,
training & consultancy
http://edin.ac/1u3sKqy
Before research During research After research

Research Data Management Planning
Customised instance of DCC’s DMPonline toolkit for Univ. of
Edinburgh use:
A range of funders and local (non-funder) DMP templates
Institutional guidance (storage, services, support)
Tailored DMP assistance for researchers submitting research
proposals (F-2-F)
DataStore
NAS facility to store data that are actively used in current research
activities
0.5 TB (500GB) allocated per researcher (incl. PGRs)
Up to 0.25TB can be used for “shared” group storage
Extra storage costs: £200 per TB per year incl. back-up and DR copies
Infrastructure in place. Allocation of space devolved to School IT
departments overseen by Heads of IT from each College.

DataShare
 Edinburgh DataShare is the University’s OA multi-disciplinary data
repository hosted bt the Data Library : http://datashare.is.ed.ac.uk
 Assists researchers who want to share their data, get credit for data
publication, and preserve their data for the long-term (DOI, licence, citation)
Data Vault
 Safe, private and secure long-term data archive
 Current focus on front-end application requirements (authorisation,
retention & deletion, file structure, file transfer, integration)
Data Asset Register (DAR)
 Using PURE as the catalogue of data assets produced by Edinburgh
researchers for discovery, access, and re-use as appropriate.
Interoperation
 Systems are more likely to be used if some or all of the components are
integrated and developed to minimise ‘duplication’ of effort

RDM Support
• RDM team work with Research Administrators , Academic Support
Librarians and IT staff in each of the 22 Schools.
• Queries can be sent to the IS Helpline who will direct them to appropriate
RDM staff via CMS.
• Introductory sessions on local RDM services and support for researchers
and research administration staff in Schools / Institutes
• RDM website: http://www.ed.ac.uk/is/data-management
• RDM blog: http://datablog.is.ed.ac.uk
• RDM wiki:
https://www.wiki.ed.ac.uk/display/RDM/Research+Data+Management+Wiki

Training: Tailored Courses
Formal and bespoke training in the form of workshops, seminars and drop in
sessions to help researchers with RDM issues.
 Creating a data management plan for your grant application
 Handling data using SPSS
 Managing your research data: why it is important and what should you
do? NEW
 Publishing and sharing sensitive data (pilot) NEW

MANTRA - http://datalib.edina.ac.uk/mantra
 An internationally recognized free online RDM training course for
researchers - developed by the Data Library
 Software-specific data handling exercises
 CC License & embed units in VLE’s e.g. Moodle

Service Integration examples
• DataShare is a customised DSpace instance with OAI-PMH
compliant DCMI metadata fields for data discovery through
Google and other search engines
• Records are harvested by Thomson-Reuters Data Citation Index
• SWORD API utilised for batch deposit of large and/or many files
from remote computers (‘Push using http’)
• Internal batch ingest of many/large files to circumvent 2.1GB limit
via the web interface (‘Pull via command line interface’)
• checksums determine that delivered object mirrors deposited object
• DSpace GITHUB plugin* - allows software used in research to be
archived from GitHub (or similar) source code repository into
DataShare, which can then be assigned a DOI to facilitate citation
- using the SWORD deposit protocol

DataSync – a secure dropbox-like facility for synchronising data on
DataStore with desktop and mobile machines:
• uses open source ‘ownCloud’ technology
Refresh of ECDF Computing Cluster (‘Eddie’) complete with
‘Data Centric Computing’ business model – integrate Eddie storage &
HPC, parallel and cloud computing layers with DataStore for data
sharing i.e. data transferred from DataStore for analysis run on Eddie
and then data ported back to DataStore (DataVault)
Linking of SDA toolkit with numeric ASCII data held in DataShare for
the purposes of analysis (re-use)
Facility to embargo variables within numeric files (in statistical analysis
package formats) for subsequent open deposit into DataShare of de-
sensitised version
Research data deposit directly from RSpace Electronic Lab Notebook
(ELN) interface into DataShare and Datastore (& Data Vault) using
SWORD protocol

Who and what is driving demand for
ELNs?
● Researchers
– Utility and convenience of paper lab book + online capabilities
– On multiple devices
– File management/integration
● Groups/PIs
– Controlled sharing
– Collaboration
– Group management
● Institutions: data librarians, research admins, IT, commercialisation offices
– Enterprise features: Scalable deployment, Single Sign On
– IP protection: audit trail, signing
– Publishing
– Archiving
– Repository integration

RSpace
RSpace
First electronic notebook for research
institutions

Business Model
● Free public cloud for labs and individuals
● Institutional deployments @$100/user/year
● Seamless movement of groups and data between different RSpaces
Researchers Institutions Funders
Value
Edinburgh
Public
Cloud
Stanford
Lab
LabLab
Convenience
Productivity
Portability
Control
Compliance
Data mining
Data mining

RSpace at Edinburgh
– Linking to files in Edinburgh DataStore
– Depositing content in Edinburgh
DataShare
– Archiving in Edinburgh DataVault

Linking to DataStore
“My plan for workflow would be generally to
deposit my data in DataStore either from the
wet lab instruments (gel photos, elisa data,
etc, and also possibly directly from an iPad) or
from in silico data analysis I’ve been doing,
and then link to it from within RSpace.”

Linking to DataStore
Experiment
Procedure
~~~~~~~~~~
~~~~~~~~~~
Results
~~~~~~~~~~
Results.xls
ELN UoE DataStore

Exporting to DataShare
RSpace
UoE DataShare

Archiving in Edinburgh DataVault
● DataVault functionality/API not yet
specified
● Anticipate use of XML zip archive
● Many requirements to be determined
– e.g., searching, restoration

RSpace and Edinburgh RDM
RSpace
server
DataShareDataStore
DataVault User / Browser

Thanks!
Acknowledgements:
Sunny Yang, Richard Adams, Nigel
Goddard Robin Rice, Kevin Tomlinson,
George Hamilton, Orlando Richards

Service Integration to Enhance RDM

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