eResearch Report 2017 - 2018 - Page 10



Dealing with the data
Open science support
at UCT
UCT offers software and support
to researchers throughout their
research projects.
DMPonline
Increasingly, funders require the
submission of a data management
plan (DMP) in the early stages
of a research project. DLS hosts
DMPonline, a tool developed by
the Digital Curation Centre (UK) to
enable researchers, data managers
and principal investigators
to complete their DMPs with
appropriate user guidance
provided via the platform.
Open Science Framework
ZivaHub
The Open Science Framework
is a project management
repository – created
by the Centre for Open
Science – which serves as a
collaboration tool.
ZivaHub, the institutional data
repository of UCT, runs on the
cloud-based Figshare platform.
Its mission is not to replace
existing or discipline-specific
data repositories, but rather
to offer a service for any staff
member or student who needs
to openly publish data.
It allows researchers to either
work on their projects privately,
with a limited number of
collaborators, or to make their
projects completely open.
DLS has set up a UCT
instance of the Open
Science Framework that
researchers can freely and
securely make use of with
their UCT credentials.
When you publish data on ZivaHub, a
persistent identifier – a digital object
identifier (DOI) – is created. This makes
the data recognisable as belonging to
UCT and can be used to identify the
data, irrespective of where it sits.
8
When you publish data on ZivaHub,
a persistent identifier – a digital
object identifier (DOI) – is created.
This makes the data recognisable as
belonging to UCT and can be used
to identify the data, irrespective
of where it sits. The platform also
offers metrics, allowing researchers
to know how often and where their
data has been viewed, downloaded
and cited.
An added bonus of publishing
on ZivaHub is the institutional
support from data curation
officers. While this team cannot
edit or make changes to the
microdata – the data provided
by the researcher – they can
assist in the describing of the
data (metadata) to ensure it is
correctly categorised and labelled
for maximum discoverability and
likelihood of reuse.





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