1. Engaging with Ouputs Malcolm Wolski
Director, eResearch Services , Division of Information Services
Established 1975
students - 19% international – countries
Broad research program 38 research centers
200 degrees
International ranking top 3%
4400 staff/5 campuses
Ethos of cross disciplinary research
Centralised libraries and ICT in 1997
Commenced integrating ICT and Library services early 2000

2. Help Desk
Comms
Service mgmt
ITIL across all services – Central Service Management
Discipline solutions
HPC
Data Mgmt Solutions
Media Service
National projects
Projects
Architecture
Sourcing
Desktop Support
Workplace
consultants,
AV, Computing labs
Research Admin Student, HR, Finance, library, Bboard, DSpace
Storage farms
Server farms
Unified Comms
Networks, Security
Identity Mgt
Central records Repositories, Library cat, Sharepoint,
Acquisitions
Liaison librarians
Data Mgt assist
Library spaces
Publishing advice

3. University Wide Services
Proposal Planning
Project Startup
Data cleansing/repurposing
Data Collection
Sharing / collaboration
Data analysis
/computation
Write up/
publish
End of Project
Data Archive
Griffith Experts
Publications Repository
Archive
Research Data Repository
Research Working storage
Archive storage
Microscopy Image Management Service
Quadrant (Participant Management Tool) *
Biodiversity and Climate Change Virtual Laboratory *
HPC Services
TerraNova (CC Adaptation Data) *
Research Survey Tool
Gowonda cluster Flashlite cluster
Euromo Cluster
(AWS)
Clinical Trials Tool
Randomisation Tool
* National Services managed by Griffith

4. BOF IG WG
Outputs
Review
Review at

5. RDA Outputs - What’s in it for us so far
Review at
Who are the adopting organisations?
Impacts who?
What type of output (i.e. is it a standard or method or code or recommendation)?
Is it applicable to us?
In what way? Where would you apply it?
Anything else to watch out for?
 Basic Vocabulary of Foundational Terminology Query Tool
Impact
Type
Is it applicable to us?
In what way? Where would you apply it?
Ensures researchers use a common terminology when referring to data
Set of definitions of terms for digital data / Use cases
Yes standardized set of terms for defining digital objects when developing our repository solutions. Useful set of USE cases.
Metadata Repository / PID Resolver / PID Registration Service / Aggregation System / Repository

6. RDA Outputs - What’s in it for us so far
Review at
Machine Actionable Policy Templates
Impact
Type
Is it applicable to us?
In what way? Where would you apply it?
Can be used to support data sharing and interchange between communities
Practical Policy Templates 1. Contextual metadata extraction 2. Data access control 3. Data backup 4. Data format control 5. Data retention 6. Disposition 7. Integrity (including replication) 8. Notification 9. Restricted searching 10. Storage cost reports 11. Use agreements
Yes Computer actionable policies are used to enforce management, automate administrative tasks, validate assessment criteria, and automate scientific analyses. The benefits of using policies include minimization of the amount of labor needed to manage a collection, the ability to publish to the users the rules that are being used, and the ability to automate process management.
Process Management / Automated
Workflow pertaining to Data Management

7. Request for comments Who can do it Yourself
 RDA Agrisemantics WG Case Statement
 RDA/WDS Publishing Data Services WG Recommendations
 Data Citation WG Recommendations
Who can do it
Yourself
Your colleagues within the institution
Someone you know who has expertise

8. 12 (research data) Things - Griffith
Implementation of an institutional IM framework (incl. data classification work)
Archives and Records Professionals for Research Data IG
Repositioning the liaison librarian to better support research (as well as some other library roles eg the archive and business enablement teams)
Education and Training on handling of research data; BOF Agile Data Curation: Planning meeting for Agile Data Curation Interest Group and Associated Working Group(s) 
Researcher training and skills development including IP/Copyright etc
Education and Training on handling of research data; RDA/CODATA Summer Schools in Data Science and Cloud Computing in the Developing World WG;
How to develop environmental data services for research/govt/industry
Biodiversity Data Integration IG, Virtual Research Environment IG (VRE-IG)
How to balancing different discipline needs in a comprehensive university – big, middle and long tail
Long tail of research data IG
We have:
A low-use Equella repository for Griffith-generated research data and a small number of licensed datasets from third parties".
Equella repository targeting library products which covers licensed materials.
hosted DSpace coming on stream to cover open pubs and grey lit etc.
Why Liaison librarian re-positioning a wicked problem. Well aside from redeveloping roles and career paths we’ve discovered that researchers and academic execs have a fixed view of librarians and what they can offer.

9. 12 (research data) Things - Griffith
How to identify “trusted” external services and building “trusted” internal repository/services
Reproducibility IG, Preservation e-Infrastructure IG, National Data Services
Integrate hospital and University clinic and citizen data to make accessible to researchers
RDA/NISO Privacy Implications of Research Data Sets IG; Health Data IG
Next generation research data repository service
Lack of a detailed enterprise architecture for research outputs
Lack of internal/external "incentives" and drivers to do anything above compliance
ORCID and other identifiers and vocabs moving to linked data approaches
Active Data Management Plans IG, Data Foundations and Terminology IG, Education and Training on handling of research data, RDA/WDS Certification of Digital Repositories IG, Repository Platforms for Research Data IG
Legal issues (IP and Ethics) common,

10. 12 (research data) Things – Griffith BOFs???
Crowdsourcing transcription services of state archive documents for crime research
Changing storage services (including move to enterprise cloud hosted options like Dropbox)
Information and IT security especially in a cloud service environment
IP/legal issues in development of a digital person databank (health)

11. BOF IG WG
Outputs
Engage