veronica howe - research data management
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RESEARCH DATA MANAGEMENT
Veronica Howe, Research Data Manager, Archives and Information Management, Library Services
How many grants mentioned RDM in 2011?
<£50,000 £50 - £300,000 >£ 300,000 All
Data Management 33% 24% 14% 27%
Storage Costs 25% 23% 14% 20%
Data Expertise 23% 12% 5% 13%
Up to 2 GB28%
Up to 50 GB43%
More than 50GB17%
More than 500G
B6%
More than 1TB6%
Volume of data generated by project
Col-lege storage 45%
Local desktop or laptop 64%
External HD/DVD/USB 40%
Cloud 17%
Partner 11%
Data storage during project
What funder
wants 23%
Of-fer to repository 4%Of-
fer to College
Archives 8%
Leave on existing storage 73%
Delete 2%
No plans 15%
Plans for data post project
Students
“The ethics form asks where I am going to store my research data - what shall I say?”
“The health statistics dataset I need will cost over £3,000 in licence fees but I am funded by a scholarship which only included £750 per year for research costs – what can I do?”
Researchers
“A BMA journal wants me to deposit my data in a repository in a non-proprietary, open format but it’s all in NVivo - I'm not sure how to go about it?”
“The funder requires that research data, and the project website, remain available when the funded research centre closes next spring – how do we do that?”
Geoffrey Boulton, http://royalsociety.org/policy/projects/science-public-enterprise/report/
“Since no journal can spare the space to publish the avalanche of
data that large-scale scientific experiments produce, the
published paper has become more of an advertisement and the
science sits in the underlying data”
The benefits of managing research data
Ensures availability
Demonstrates continuing relevance
Boosts reputation
Attracts more investment, collaborators, crowd sourcing
Supports compliance
Clarifies ownership
Increases citations
Facilitates dataset combination
Encourages efficiency
Supports good conduct
Extends impact
Safeguards investment
Reduces risk
Raises quality
Stage of Academic Research Process
Data Management Activities
What happens currently Requirements
Concept and design
Researchers review data Researchers alerted to funding opportunities
Establishment of Data Asset Register
Start Up Data management statements in applications for funding and ethics approval
Inconsistent data management planning
Data management planning embedded early in research process
Information in different places (Information Management, Library Services; IT; Research web pages)
Single web site portal to research support
College destroys paper files according to financial regs
Capture core metadata to accompany research datasets
Data collected, analysed, tested
Data created, used and shared
Data managed according to variable local arrangements/provision and personal practices
Clarity on existing provision and charging model for buying additional; technical support eg database design
Dissemination and Publication
Conferences, blogs, Open Access , online and other publication
IM provides guidance on data retention; IR supports Open Access activities
Links to datasets on Pure and new Research Information Business Systems
Post publication - selection and retention of data
Data publicised and shared; outputs submitted for REF
Researchers share data on an ad hoc basis in response to personal requests; data lost, stored inconsistently, whereabouts unknown
Support for coherent data lifecycle management (from active to deposit in repository, shareable, useable, retrievable, accessible, secure disposal, digital preservation activities; data reused in future research; archive for data of long-term value; development of a sustainable cost recovery model)
VERONICA HOWERESEARCH DATA MANAGERARCHIVES & INFORMATION MANAGEMENT0207 848 [email protected]@KCL.AC.UK