Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
P2C: Collections and connections for research data
Tuesday, 11/Jun/2019:
1:30pm - 3:30pm

Session Chair: Frances Madden, The British Library
Location: Lecture Hall C
Universität Hamburg, Main Building, Edmund-Siemers-Alle 1

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In a third space: Building a horizontally connected digital collections ecosystem

Kevin Clair, Jack Maness, Kim Pham, Fernando Reyes, Jeff Rynhart

University of Denver, United States of America

This presentation describes the development of our open-source digital collections infrastructure, which is comprised of a repository for metadata (ArchivesSpace - Digital Collections Department), a preservation repository (Archivematica and Duracloud - Artefactual/Duraspace), a digital object repository (Node.js + ElasticSearch - Library Technology Services Department), and a streaming server (Kaltura - campus IT).

In line with COAR’s Next Generation Repositories guiding principles, the technology space of our ecosystem isn’t relegated to one vendor or to one IT department on campus - rather, it is placed in the hands of those with the best skills and expertise to provide that support. Each system is an independently managed standalone product, resulting in a true hybrid architecture and the coordinated effort of digital curation activities that still allows for each group to focus on the service they have the most vested interest in providing. In monolithic repositories, knowledge is spread across different components, where skills are gained in parts require a lot of attention, while other parts are left as a black box (fingers crossed that it doesn't break). We will also talk about the different management and development practices for each system, and how we negotiate our partnership to support one another and provide digital-collections-as-a-service.


The Protean IR: Developing a versatile and decentralized repository through an API

Brian Luna Lucero, Kathryn Pope

Columbia University Libraries, United States of America

Columbia University Libraries recently released a new version of Columbia’s institutional repository, Academic Commons. As we worked on the update, users asked for the ability to curate collections of related works. In response, the project team considered how we might implement some type of “collections” and we soon found ourselves questioning the nature of the repository. Did our assigned categories reflect the thinking of depositors and researchers? Could we be both a campus-wide repository and a showcase for the curated works of specific groups or projects?

These questions led us to redefine the repository. Rather than a website for distributing scholarly works we now see it as a body of digital documents and records describing them that can be indexed, searched and retrieved in multiple contexts. This conclusion represents a paradigm shift in our thinking about the repository.

This new vision of decentralized access is made possible through an API that serves records from Academic Commons based on user queries. Since the introduction of the API, we have worked with on-campus partners to envision how we can implement it to present curated selections of repository content on department and project websites.

Paper-P2C-431Luna Lucero_a.pdf

Two worlds meet: customising a general purpose repository for the specific needs of Life Sciences to achieve FAIRness for research data

Asztrik Bakos1, Daniela Digles1, Gerhard F. Ecker1, Raman Ganguly1, Isabelle Herbauts1, Tomasz Miksa2, Andreas Rauber2, Michael Viereck1

1University of Vienna, Austria; 2TU Wien

The existing digital ecosystem surrounding scholarly data publication is not yet addressing all requirements of life sciences. Although for certain types of digital objects there are already well established repositories, a considerable part of the research data from life science never become accessible to the open world due to a lack of appropriate tools for their continuous use and preservation.

Here, we describe how we adapted an existing general purpose repository at the University of Vienna to the domain specific needs of life sciences. We complemented the existing functionality of the repository with extended metadata scheme and user interface to support the needs of and methodologies used in life science, without affecting the usability of the main repository. We thus evaded setting up a new system, which, in turn, allowed us to reduce required effort and minimise future maintenance costs. The larger vision is to create a repository that can be used across both the humanities and life sciences, which will not only be used as a system for digital preservation but equally well as a platform to facilitate research by aiming to meet the FAIR data principles (Findable, Accessible, Interoperable, and Reusable).


The Fast and the FRDR

Alex Garnett1, Lee Wilson2, Clara Turp3, Julienne Pascoe4

1Simon Fraser University; 2Portage, ACENET; 3McGill University; 4Library and Archives, Canada

The Federated Research Data Repository (FRDR), developed through a partnership between the Canadian Association of Research Libraries’ Portage initiative and Compute Canada, improves research data discovery in Canada by providing a single search portal for more than 100,000 metadata records indexed from over 40 Canadian governmental, institutional, and domain-specific data repositories. While this national discovery layer helps to de-silo Canadian research data, challenges in data discovery remain due to a lack of standardized metadata practices across repositories. In recognition of this challenge, a Portage working group, drawn from a national network of experts, has engaged in a project to map subject keywords to the Online Computer Library Center’s (OCLC) Faceted Application of Subject Terminology (FAST) using the open source OpenRefine software. This presentation will describe the working group’s project, provide a demonstration of preliminary results and examples of how this work improves data discovery, and discuss how this approach may be adopted by other repositories and metadata aggregators to support metadata standardization.


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