1. Research Outputs Management What services are involved?
Basic Training in Parma/

2. Agenda Components of an RDM service infrastructure Discussion
RDM policy and strategy
Business plans and sustainability
Guidance, training and support
Data management planning
Managing active data
Data selection and handover
Data repositories
Data catalogues
Discussion

3. Components

4. RDM policy and strategy
Develop a strategy
Understand your current position and where you want to be to define your strategy
Map out a programme of activity to deliver infrastructure and services
Develop a policy
Draft a policy based on external drivers and local context to establish your core RDM principles
Ratify the policy then undertake advocacy work and pilot studies to aid implementation
Consult broadly to gain consensus and secure support

5. RDM Policy – learn project
Toolkit of Best Practice for Research Data Management
23 Case Studies covering topics such as Policy, Advocacy and Costs, a Model RDM Policy
Evaluation Grid for RDM Policies in Europe
40 European RDM policies
compact overview
Core Elements of a RDM Policy
template useful for
defining research data
explaining what RDM is
identifying RDM workflows
informing about funder requirements
identifying legal and ethical aspects
Funding from the EC:€ 496,582.00
Partners:University College London – UCL Universitat de Barcelona – UB Stichting Liber – LIBER  Universitat Wien – UNIVIE  United Nations Economic Commission for Latin America and the Caribbean – UN-ECLAC

6. RDM Policy and strategy
Will be discussed in detail later today by Joy Davidson
And we will develop Business Models on Friday
Developing policies to support Research Outputs Management
Coffee break
Developing policies to support Research Outputs Management (continued)

7. Business plans and sustainability
Based on your strategy, develop a phased business plan covering projections for 3, 5 and 10 years
Identify predicted costs and planned expenditures, together with an indication of the financial year in which expenditure will occur
Consider whether any costs can be recouped, for example by charging for services
Undertake a cost/benefits analysis to help make the case for investment
Address sustainability issues and the associated long-term costs

8. Understanding costs of curation
Curation Cost Exchange (CCEx)
platform to understand and compare costs
4C analysed existing cost models
10 evaluated
78 assessment criteria
you decide which is best for you
Described cost drivers
direct
storage
indirect
quality and trustworthiness
reputation and risk
Sustainability planning
from cost models to business models
based on Business Model Canvas

9. Guidance, training and support
Collate details of existing institutional support to provide a single, joined-up RDM guidance website
Coordinate the provision of support, either through a central helpdesk or well-signposted contacts
Provide RDM training to support researchers and reskill support staff
Offer more in-depth consultancy services as appropriate.

10. My favourite example:
landing page for researchers,
consulting pre-grant DMPs
trainings in data management
during project and end of project consultations
archiving services

11. Data management planning
Data Management Plan (DMP) describes:
how the data will be created
how it will be documented
who will be able to access it
where it will be stored
who will back it up
whether (and how) it will be shared & preserved

13. Data management planning
Supported by
tools
checklists
Will be discussed in detail in the next ROMOR event

14. Data management planning
If you have a requirement for DMPs, develop a template or guidelines on what to include
Provide guidance, approved options and examples to help researchers complete DMPs
Consider the use of tools such as DMPonline, customising these to your institution
Build data management planning into existing training and consultancy programmes as required

15. Managing active data
Review data holdings and RDM practices to see if the current infrastructure and systems are sufficient
Where appropriate, make a case for investment to provide additional research data storage
Develop procedures for the allocation and management of research data storage
Provide flexible RDM systems to support the creation, management and sharing of data that meet a diverse range of research contexts and needs

16. Managing active data Host on your own Outsource? Sensitive data?
Jurisdiction?
Using dropbox and google drive is not a bad thing, but we should be aware of problems.
Hosting your own services may be better.
You need this services for people to work efficiently.
If the data is already on the premises then it is easier to ingest it than to migrate.

17. Data selection and handover
Identify which data fall under your remit and establish criteria to guide decisions on what to keep
If establishing a repository, develop deposit agreements and high- level guidance
Develop or use existing deposit tools to ease the process of handover
Advocate the benefits of data deposit to encourage uptake
Support research groups to develop guidance and offer input to decisions
Note: different processes for “Big Data” settings, specifically (high-volume) dynamic data streams: integrated systems!

18. Data selection and handover
Data Management Infrastructure
Integrate existing systems
Seamless data flow
Machine-actionable DMPs

19. Data repositories
Where required, develop and maintain an institutional data repository
Explore options to align your repository with existing systems, for example for Research Information Management
Decide what role external data repositories will play in your RDM strategy
Provide guidance and support to direct researchers to relevant services
Sessions on day 2 focus on repositories

20. Climate Change Centre Austria - Example
National archive for climate data and information
clear focus and purpose
Data
observation and measurement data
scenario data
quantitative and qualitative data
measurement data
findings of research projects
Uses CKAN repository
Data Citation
Gaza has their research on water in Gaza. They may consider having a dedicated repository for this and a separate one for master thesis, etc.
I would stress here that having a clear focus is important.

21. Data catalogues
Define the metadata you need to record research datasets
Establish a system for capturing and displaying a record of research data holdings
Integrate systems to benefit from options to harvest data and embed metadata creation into existing workflows
Expose metadata for inclusion in national catalogues or other relevant services

22. More on metadata…
Day 2
Metadata for Research Outputs Management

23. Conclusions It is not just about repositories! Integration is crucial
systems
stakeholders groups
services
Develop a vision and a plan
Include all stakeholders
Make incremental development

24. Group Discussion Reporting which components do you already have?
which of the components should be shared among HEIs in Palestine?
which components should be prioritized in the next phases of the project?
Reporting
each group reports shortly what they identified
joint discussion

25. Acknowledgments
Jones, S., Pryor, G. & Whyte, A. (2013). ‘How to Develop Research Data Management Services - a guide for HEIs’. DCC How-to Guides. Edinburgh: Digital Curation Centre. Available online: