Veronica Howe - Research Data Management

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 1030VERONICA.HOWE@KCL.AC.UKRESEARCH.DATA@KCL.AC.UK