Engaging with Ouputs Malcolm Wolski Director, eResearch Services , Division of Information Services Established 1975 46 000 students - 19% international – 100 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

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

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

BOF IG WG Outputs Review Review at http://tinyurl.com/gu365d2

RDA Outputs - What’s in it for us so far Review at http://tinyurl.com/gu365d2 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

RDA Outputs - What’s in it for us so far Review at http://tinyurl.com/gu365d2 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

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

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.

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,

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)

BOF IG WG Outputs Engage