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An Introduction to RDMS at Strathclyde

An explanation of the basics of Research Data Management and Sharing at the University of Strathclyde, Glasgow.

Andrew Maclellan

on 28 February 2017

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Transcript of An Introduction to RDMS at Strathclyde

Research Data Management and Sharing
Funders with Open Data Policies
"Research data are the evidence that underpins the answer to the research question, and can be used to validate findings regardless of its form (e.g. print, digital, or physical). These might be quantitative information or qualitative statements collected by researchers in the course of their work by experimentation, observation, modelling, interview or other methods, or information derived from existing evidence."
Research Data
Data Security
Unencrypted PC's
USB & External HD's
Insecure Storage
No backups

Easily hacked if stolen

Breaches the encryption policy
Easily lost or stolen

Usually kept close to PC

Prone to failure
Don't know who's accessing or where it's stored

Bigger target for hackers

Unsupported costs
The RDMS Team
Contact us
Introduction to RDMS
Complying with EPSRC Research Data Policy
Creating DMPs and Depositing in Pure
RDMS in a Day
Online Course: How to Manage your Research Data
Gaining Consent to Share Research Data
Describing your dataset in Pure
EPSRC Policy Framework on Research Data
One to one meetings
Group meetings
Product demonstrations

Findable, Accessible, Interoperable, Reusable

"Plans for sharing of data should be considered from the earliest stages of project planning"
Why create a DMP?
DMP Support
What's in a DMP?
Standardise good customary practices.

Lead by example
Meet funder expectations

Often required as part of application

Or created during project
James Weir
3rd Party Cloud
"even if the strings of 0s and 1s that make up the binary data can be read, it could be like trying o interpret Ancient Egyption without knowing which Rosetta Stone to use"
Harvard Professors claimed economic growth weakens where national debt is higher than 90% of GDP
Findings referred to by policy makers
3 years before data is shared with one student who tries to replicate
"coding errors, selective exclusion of available data, and unconventional weighting of summary statistics"
Authenticate and replicate findings
Minimise Restrictions
Secure Storage
Alan Morrison
Open Access and Research Data Manager
Alan Slevin
Research Support Officer
Research Data Support Officer
Andrew Maclellan
We can help you create a DMP as part of your grant application or for your current project.
Data Collection
& Metadata
Sharing & Preservation
Network Drives
H:drive for personal
i:drive for groups

Fast, stable and simple

Big capacity
Off-campus access

Work wth external collaborators

Synchonise across multiple devices
Organised data


Preservation & curation

Open data
File formats

File naming conventions

Describe variables, values and records

Where, when, how data is generated

Hardware and software

Use conditions
Data Management Systems
Data Management Systems
Data Management Plans
Data Management Plans


Funder Policies
Pure Datasets
Getting Started
Formula for Success in RDMS
Claire Carroll
DCC Checklist
One-to-one support
0141 548 4581
We can interpret policies and relate them to your research data, so that you can comply fully with funder expectations.
We can guide you through the process of using Pure to create useful, compliant, high quality dataset records
Marie Henderson
Research Support Officer
"there's 30 years of materials and resources... some of my colleagues have lost everything"
"I had to redo my PhD"
"If you have found the external hard drive, PLEASE CALL ME
The drive contains many years of my teaching and research files"
Plan to use secure systems and processes

Remove any weak links in your security chain
Protect IP

Comply with the DPA

Respect participant wishes

Minimise restrictions
Ethics & Legal
Consent for retaining and sharing data

Optional or mandatory consent


Licensing, patenting, copyright
Where will data be stored at each stage of the project

Transferring data between collaborators and participants
Template Designed by Puffingston:
Follow us on Twitter for more free templates!
Research Data Management & Sharing
Research & Knowledge Exchange Services
An introduction
The Research
Data Lifecycle
"Publicly funded research data are a public good, produced in the public interest, which should be made openly available with as few restrictions as possible in a timely and responsible manner"
Publications should state how supporting research data may be accessed.
Metadata describing research data should be freely accessible online (even when access to data is restricted).
Where access is restricted, reason should be given, and details of conditional access provided.
Data must be preserved for minimum 10 years from the date that any ‘privileged access’ period expires or, from last date on which access to the data was requested by a third party.
Research data should be as open as possible, and as closed as necessary.
Research data should be Findable, Accessible, Interoperable and Reusable (FAIR).
Researchers must submit a DMP (data management plan) within the first 6 months of the project.
Recently extended to cover all funding areas.
“PLOS journals require authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception.”

Pure: Strathclyde's Current Research Information System (CRIS)
Digital Object Identifier (DOI)
Helps others find and cite your data
Helps you track citations and the impact of your dataset

Christine Gallacher
Ext 4503

Help guides on the R&KE portal

Training videos to help staff complete their web profiles

Face to face training

Project Manager
What data will be made openly available

How and when will data be shared

What restrictions are necessary and why
Network drives
& Strathcloud
Herndon, Thomas, Michael Ash, and Robert Pollin. 2013. “Does High Public Debt Consistently Stifle Economic Growth? A Critique of Reinhart and Rogoff.” Political Economy Research Institute Working Paper Series (322).

Vines, T. H., Albert, A. Y. K., Andrew, R. L., Bock, D. G., Franklin, M. T., & Gilbert, K. J. (2014). The Availability of Research Data Declines Rapidly with Article Age, 20, 1–4. doi:10.1016/j.cub.2013.11.014

1. Open dataset
2. Public dataset with restrictive licence
3. Partially open dataset
4. Embargoed dataset
5. Restricted dataset with controlled access
6. Restricted dataset with access for Strathclyde
7. Restricted dataset with access for specific investigators
8. Destroyed dataset
Create a DMP
Data management plans are often simple, straightforward documents. Starting the DMP is often the biggest hurdle. Make sure you have a DMP in place for your research data.
Use Pure
Switch to University storage
Secure your research data by storing it on the network drives or Strathcloud. Familiarise yourself with the Strathcloud apps, and ask for help if you need it.
Log in to Pure and familiarise yourself with the datasets metadata form. If you have any completed datasets which you think should be preserved, upload them to Pure.
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