INTRODUCTION TO SCHOLARS PORTAL OCUL Ontario Council of

INTRODUCTION TO SCHOLARS PORTAL / OCUL

Ontario Council of University Libraries § OCUL is a consortium of Ontario’s 21 university libraries. Nipissing Laurentian Algoma Lakehead Trent York Guelph Waterloo Carleton Ottawa Queen’s RMC UOIT Ryerson Toronto Wilfrid Laurier Western Windsor OCADU Brock Mc. Master

OCUL Communities Accessibility Assessment Data Digital Curation Geo Government Information Technology Public Service Renewal Publishing/Hosting Quality Assurance Resource Sharing Video ocul. on. ca/committees

What is Scholars Portal? • Digital library service of OCUL (based at University of Toronto, Robarts Library) • Established in 2002 as a way to implement OCUL’s planning and direction • We provide a wide variety of services to students, librarians, faculty and staff at OCUL member institutions

2002 2008 2010 2011 2012 2014 2015 2018 RACER Scholars Portal Journals Scholars Portal Books ODESI Scholars Geo. Portal Ask a Librarian Dataverse ACE Content Repositories Member Services OJS hosting OLRC Permafrost

DATAVERSE AND RDM

SP Dataverse Service • • • Hosted at SP Open-source development community Open, free for anyone to use Used actively by approximately 15 -20 institutions in Canada Supports self-deposit, mediated, and full RDM service models • Feature-rich • Connects to other platforms and tools • Actively growing

Institutional Dataverses ● All data organized by institution (general root available for nonaffiliates, multi-institutional projects); ● Researchers deposit in Institutional Dataverses (defined by user affiliation); ● Library administers institutional space; ● Customizable features (branding, featured Dataverses, facets, etc. ) You can have as many Dataverses within Dataverses as you like!

Mediated Dataverse Service

Self-Deposit Service • Open to anyone to deposit and publish data • Usage statistics at institution-level to track published data • Most Ontario schools use this model Note: SP Terms of Service covers removal of data if necessary http: //guides. scholarsportal. info/dataverse

Research Data Use Cases • Research Promotion – Share data, get DOI, add to website / CV • Collaborative research – Multi researcher project – Need robust file sharing; versioning – User Permissions (open – restricted) • Library curation / archiving – Workflows for curation and institutional archiving / digital preservation • Journal and funder policy compliance – Review of dataset with article submission (get DOI before publication; cite data) – Open access of data after publication

Data management features • • File Versioning Data citation / DOI minting Public citation & disciplinary metadata OAI-compliant (metadata harvesting) Many APIs for search, access, upload Data licensing (default CC 0) Collaborative data sharing (open and restricted) • Data visualization (Data Explorer / Two Ravens / World Map)

Data Versioning

Metadata Support • Data. Cite, Dublin Core, DDI (Citation) • DDI (Social Science) • Virtual Observatory VOResource (Astronomy) • ISA-Tab (Life Science) • Proposed extension of DDI support at the variable-level (DV Curation Tool) (2018 -)

Preservation Integrations Examples File Format Identification Normalization ! s • Archivematica – Dataverse Integration e i c i – Phase 1 Prototype (2015 -2017) l o p – Phase 2 Production release (2018 -) o N JPEG, TIFF Full – Identifiable in PRONOM Registry Full – JPEG to TIFF; storing original SPSS, SAS, Excel, Arc. GIS (. shp) Mid – Identifiable to an Basic - None, CSV (loss of extent (some extensions not metadata) recognized e. g. . sps) MATLAB, STATA None

Other Research Management Integrations • Open Science Framework (OSF) • Open Journals System (OJS) • RSpace • SWIFT (Object Storage / Cloud) • AWS S 3 (Cloud)

Dataverse North • 26 members from across Canada • Community of Practice: – Business Models WG, Training WG, & Metadata WG • Interest in developing coordinated services, policies, training, etc. • Goal to link DV to emerging Portage infrastructure at the national-level – FRDR (Discovery), FRDR (Repository), Preservation & Curation services

National Dataverse Service (Draft Recommendations) • BM WG conducted survey of hosts & users; current distributed model not efficient; why? – Challenge of many versions to support – Duplication of effort, combined effort could take us further – Not enough resources Canada-wide Recommendation: A National Dataverse Service be available to all institutions and researchers in Canada, hosted by SP Dataverse, coordinated by DV North Committee.

National Dataverse Service Timeline (Draft Recommendations)

Dataverse – Portage / FRDR integrations • FRDR (Discovery) (done; 2017 -) – Metadata harvesting – Institutional listing • FRDR (Repository) (Investigating 2018 -) • Dataverse – Globus File Transfer (large file upload; connect CC storage to Dataverse) • Reduce duplication on policy, training, metadata support, and internationalization efforts • Provide streamlined service / point of entry for ALL researchers • Leverage open-source development community • Connect national infrastructure to local library services

Dataverse – Geo. Portal Integrations • Improve support for geospatial research data (Investigating 2018 -); – Add geospatial visualization / map server application to SP Dataverse – “Publish Map” button triggers map display – Geo data coordinates & metadata harvested and made more discoverable through: • OCUL Scholars Geo. Portal (http: //geo. scholarsportal. info) • FRDR Discovery Service (https: //www. frdr. ca/repo/)

Dataverse – Geo. Portal / FRDR cont.

Next Steps • Dataverse North recommendations approval & consultation • April release (4. 9) – Bug fixes – New french translations – Full integration of Data Explorer

Get started using SP Demo. DV http: //demodv. scholarsportal. info Contact: dataverse@scholarsportal. info Amber Leahey amber. leahey@utoronto. ca

Q&A