The work we are doing around research data management workflow in a 2-page overview.

1. Research at Risk:
Sharing Research Data Effectively
Our work in Research Data is focused on delivering a robust a research data management
infrastructure and services to enrich UK research. We are developing a range of tools,
services and guidance to support research data management in institutions in close
consultation with the higher education sector. Through these we are supporting
compliance with research data policies as well as enabling the broader sharing and
accessibility of research data.
Research Data Shared Service
The Research Data Shared Service will develop a service that can be taken up by institutions to enable researchers to easily deposit
data for publication, discovery, safe storage, long term archiving and preservation. The service will support researchers in sharing
and re-using data and will enable increased reproducibility of research. This will allow institutions to meet their policy requirements
around managing research data, whilst exploiting efficiencies and best practice generated by working collectively.
Jisc is working with suppliers of repository, preservation and reporting systems, as well as developers that will work on
integrations and user experience enhancements . The service is being developed by working in partnership with 12 HEIs and
one consortia of small and specialist institutions (CREST), through this Jisc will develop a service that can be procured, hosted
and managed on behalf of the participating institutions and used across the UK higher education sector.
http://bit.ly/Research_data_shared_service
Research Data Discovery
In order to be reused, research data must be discoverable.
Universities are making research data assets available
through repositories or other data portals. Some mechanism
for aggregation will be necessary to increase visibility, to
promote discovery and linking between datasets in related
subject areas held in different institutions. Whereas
document repositories can, in principle, make articles
open to full-text searching by Google, this recourse is not
available to data archives relying on metadata.
Following on from initial pilot work, this project will develop
a UK Research Data Discovery service producing the firm
foundations for such a service, including a service operation
plan and business case, for its delivery into the future.
http://bit.ly/CKANResearch
Business case and costings for RDM
Though research data management is maturing rapidly,
there is a lack of clarity as to the cost of such management.
Jisc is working to produce a clearly articulated, high level
business case for RDM—underpinned by economic
evidence - providing policy makers, funders and those in
decision making roles in institutional management with
unambiguous reasons to invest in RDM. We are working
with universities to understand the costs further and plan
to develop additional tools and methodologies to help
practitioners identify and manage the costs and benefits.
http://bit.ly/Business_case_and_costing

2. Equipment sharing
Jisc is working with RCUK, HEFCE, UUK, NCUB and
BUFDG, and other relevant organisations to build an
infrastructure that will help universities share their research
equipment with each other and with industry, leading to
cost savings in the sector and excellence in research. Our
primary focus is equipment.data, which is backed by
RCUK and currently includes records of research equipment
from 44 UK universities as well as supporting services
such as Kit Catalogue and Brunswick and HCP agreements.
http://bit.ly/Current_Projects
Research Data Spring
In 2014 we started research data spring with 70 ideas
looking to develop or enhance technical tools and
software that would improve the management of research
data. The first two phases saw 16 and then 11 of these
ideas being developed and tested.
We continue to support 7 projects in the third and last phase:
»» Data Management Administration (DMA) Online
(Lancaster University)
»» DataVault (University of Edinburgh and Manchester)
»» Giving researchers credit for their data (Oxford University)
»» Artivity (University of the Arts London)
»» Clipper (City of Glasgow College and Open University)
»» Filling in the preservation gap (University of York and Hull)
»» Extending the Organisation Profile Definition (OPD) to
cover RDM (DCC and University of Southampton)
http://bit.ly/Research_data_spring
Journal Research Data Policies
Our analysis of 250 journal policies found that the policies
are diverse and hard to consistently interpret. Working
with publishers, funders and universities we have
identified a need to devise more standard policies before
any sort of service registry can be realised. The priority is
now to work on templates and definitions to help to define
good practice. This should help all stakeholders more
easily manage research data underlying research papers.
http://bit.ly/Journal_research_data_policy
http://bit.ly/Journal_registry_pilot
Research Data Metrics for Usage
Jisc is developing a service to show where data is accessed
and reused based on agreed and reliable indicators.
Institutions need to understand how and when shared
research data is downloaded and reused – in order to comply
with funder requirements, and to plan their own investment in
data storage; researchers can use evidence of data access to
construct their own access narratives for funding proposals.
Jisc is piloting an approach for download metrics based on
modifications to an instance of the existing “IRUS-uk”
(irus.mimas.ac.uk) service with around 10 institutions and
subject data repositories. We will also investigate possibilities
for further developments around data citation metrics and
altmetrics for data.
http://bit.ly/Research_Data_Metrics
http://bit.ly/RDM_Usage
If you'd like to find out more please email: researchteam.futures@jisc.ac.uk