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).
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th Oct 2021, 04:05:12pm UTC
Arkisto: a repository based platform for managing all kinds of research data
Peter Sefton1, Marco La Rosa2, Michael Lynch1
1University of Technology Sydney; 2University of Melbourne
Arkisto is a comprehensive research data management platform which is based on the use of standards for storing and describing data with a view to making data Findable, Accessible, Interoperable and Reusable (FAIR). Central to Arkisto is the notion of a repository of data, using the OCFL (Oxford Common Filesystem Layout) standard to keep data organized and accessible over the long term, with separate services to acquire data, build discovery indexes, run preservation activities and provide access to analytical software. An Arkisto repository consists of a collection of datasets, stored as OCFL Objects where each Object is described using the Research Object Crate (RO-Crate) metadata standard - at least to the level of dataset, but potentially to the level of individual file resources, or the variables or other semantics within files. There are a number of tools which have been developed under the Arkisto banner, though any tool which works with the standards can be considered a part of the platform.
This presentation will explain the motivation for the platform, and give several examples of its use, as an Institutional Research Data repository, for special collections of various kinds, as well as lab-level research data repositories for instrument and field-sensor data.
Research Object Crate (RO-Crate) Update
Peter Sefton1, Stian Soiland-Reyes2
1University of Technology Sydney; 2The University of Manchester
RO-Crate <http://www.researchobject.org/ro-crate/> is a means of describing and aggregating research data. It was introduced at Open Repositories 2019 as a marriage of the Research Object standard for describing reusable data objects and Datacrate, a data packing specification.
Research data is increasingly important to the OR community and some aspects of the standard are particularly relevant to a community where metadata is a key concern: the use of linked data; schema.org as a code vocabulary; the Portland Common Data Model for representing and interchanging repository content; and having a built-in HTML view of object metadata for offline and online objects.
RO-Crate is seeing increased adoption and interest in the research data management world and is relevant to research data repositories and data discovery. This presentation will provide an update on the standard with examples on its use.
Next Generation Repositories: Best laid plans
University of New South Wales (UNSW), Sydney, Australia
UNSW Library is migrating its institutional repository to a new platform, DSpace7. UNSW’s vision is to provide next generation infrastructure that enables UNSW research to be discoverable locally and globally. Since DSpace7 is still in development, a prototype was developed for UNSW in 2020 and evaluated against COAR’s guiding principles and design assumptions of next generation repositories. The presentation will reflect on the process of evaluating repository technology according to the COAR criteria while balancing the specific needs of the institution and users. It will also examine some of the challenges of implementation, which has brought to light the kinds of practical considerations, technical requirements and user expectations that often waylay best intentions.
A Causal Analysis of the Progress of Green Open Access
Masashi Kawai1, Koichi Ojiro1, Jun Maeda2, Masaki Nishizawa1, Kazutsuna Yamaji1
1National Institute of Informatics, Japan; 2Hokkaido University
More than 800 institutional repositories exist in Japan, but only a few institutions are active in registering journal articles. In this study, we analyzed the causal relation between the number of journal articles and librarians’ open access promotion initiatives to provide good practice guidelines to the institutional repository community. Quantitative analysis results using data from 87 domestic institutions showed “sending a request for fulltext”, a direct approach to researchers, was estimated particularly influential in increasing the number of journal articles. On the other hand, initiatives, for instance, in developing an “open access policy” or implementing “self-archiving” were found less influential. Additional collected data from 4 institutions regarding the “sending a request for fulltext” to understand the details of the causal relation revealed an annual success rate averaged 36.32%. Furthermore, the data showed the annual success rate of an institution implementing it most effectively averaged 55.82%, reaching a peak of 73.20%.