Poster Reception

DigiBESS Repository exposes OAI-PMH interface for external metadata harvesting. Metadata can be disseminated in two formats: OAI_DC and PICO. OAI_DC are extracted from object datastream DC. PICO are generated on-the-fly by an object service. This Poster analyses the process of virtual datastream deployment to supply different metadata.

This poster will present the design and use of an experimental extension module for Fedora Commons that ameliorates some of the limitations in Fedora's abilities to index, store, and manage RDF assertions that compose rich descriptive metadata. It permits the management of RDF assertions drawn from arbitrary XML metadata streams in an object, while keeping the XML metadata as the authoritative and only stored description. It allows for the creation and management of RDF triples the subjects of which are not Fedora resources. And it does these things with nothing more than simple XML configuration and XSLT stylesheets. The software is now publicly available and the poster will be accompanied by a live demonstration.

It is said that one must not judge a book by its cover, but does that extend to researchers and cover sheets? Cover sheets excite enough discussion for technical and policy reasons – impact on metadata, necessity of use, branding , impact on publishers and so forth – to relegate the questions of their usability and efficacity to the bottom of the pile. In this era of cutting costs and trimming budgets, who has the money to spend on detailed investigation of anything that does not immediately impact on the core functions of institutional repositories: encouraging deposits, repository upkeep and so forth? In this paper we demonstrate the use of a crowdsourcing platform to run an extensive between-subjects HCI experiment designed to explore the impact of cover sheets upon common user tasks such as identification of document elements such as publication date and location of publication, and evaluate user perceptions of document layout.

Many academic organizations have been establishing institutional repository (IR) to gather digital publications. Most access of the IR is from search engines, e.g. Google, Bing and Yahoo. On the other hand, the search performance of the repository itself is not well. One of the reasons is that the major search engines crawl PDF files of IRs in order to index keywords in a PDF resource, although most of the repository systems do not handle a full text of PDF resources. It is necessary to enrich metadata of resources of the IR in order to increase the search performance. However there is a limit to register a large amount of metadata manually.

When a user, who wants to search bibliographies or references, clicks a resource in a repository, a query used the search is related to the resource in the user criteria. In other words, the user labels the resource with the search query. The accessed resource and the query is stored in an access log of the HTTP server.

Therefore we propose that a new metadata can be collected from access logs of a HTTP server. After a access log from search engines is picked out, a search query and an accessed resource id is extracted from the log. If the query is not included in a metadata of the id, the query is candidate for new metadata. To verify whether it is suitable to use the search query as new resource metadata, we calculated the concordance rates between the keywords extracted from HTTP log and metadata of the accessed resource.

The result showed that 60.1% of search keywords did not correspond to metadata. Detail analysis also showed that most of not matched keywords (83.7%) are the words that are included in the full text of the resource and the remaining (16.8%) is related to the resource. Therefore, the search performance can be improved by appending new metadata, which used as search query. A new keyword extracted from access log of HTTP server will be submitted to a repository server using SWORD protocol.

We built a researcher identifier management system called the Researcher Name Resolver (RNR) to assist with the name disambiguation of authors in digital libraries on the Web. Since ORCID opened API for accessing its records in the last year, RNR provides a web service that users are navigated to external scholarly systems in Japan with ORCID.

The author proposes and implements proxy sever for OAI-PMH which translates XML responses into JSON format. Furthermore JavaScript library which translate OAI-PMH responses in JSON format into HTML on client side is developed. By the framework each records on digital repositories are flexibly usable in any web-based systems via GetRecord and ListRecords queries.

The European Food Safety Authority (EFSA) was established to assess risks associated with the food chain. EFSA’s risk assessment work contributes to improving food safety in Europe and to building public confidence in the way risk is assessed. Risk assessment is a specialised field of applied science that involves reviewing scientific data and studies in order to evaluate risks associated with certain hazards. In order to ensure the risk assessment process is robust and transparent EFSA is using systematic review principles for the identification, selection, appraisal and synthesis of scientific studies used as the basis for risk assessments.
Reports, working papers and risk assessments produced by government agencies, competent authorities and other public institutions in the member states are key pieces of evidence for European risk assessments. Frequently these documents are not published through traditional scientific publishing routes and may only be publically available for a brief period of time on organisation websites. These reports generally come from routine control, prevention and monitoring programmes, which can be used to define baselines and provide a deeper understanding of the variability of risk factors between the regions and countries of Europe.
EFSA is developing a repository of food and feed safety related documents. Each document will have metadata compliant with Dublin core/Open Archives Initiative standards and Digital Object Identifier assigned to allow long term retrieval. The repository will feature social networking functions to facilitate sharing of information between risk assessors and scientists, promoting collaborative working. The reuse and recycling of scientific reports by the European risk assessment community should result in targeted and cost effective measures to ensure the security of the Europe’s food chain.

The Datastar project, which first received NSF funding in 2007, is one of Cornell University Library’s (CUL) efforts in the area of digital data discovery (Steinhart 2010; Dietrich 2010; Khan 2011). Originally envisioned as a “data staging repository,” where researchers could upload data, create minimal metadata, and share data with selected colleagues, Datastar has been reconceived as a data registry to support discovery of datasets. Datastar is now being developed in partnership with Washington University at St. Louis (WUSTL) as a data registry that can be used either as a standalone tool or in conjunction with VIVO, Cornell’s open source semantic web application for research and scholarship networks. These more recent efforts were funded by the U.S. Institute of Museum and Library Services.
With the new focus, we wanted to ensure development decisions were driven by real user needs. To that end, we used the Data Curation Toolkit (http://datacurationprofiles.org/) to conduct interviews and create a set of Data Curation Profiles (DCPs) with participants selected at CU and WUSTL (Witt and others 2009). Designed to elicit information needs associated with a data set or collection, the structured interviews provided a general framework for discussing data with researchers and to create a profile covering the stages of the data lifecycle. Participants from a broad range of disciplines were invited to participate, and eight completed interviews.
After evaluation and prioritization of the findings from the interviews, a set of particularly relevant responses emerged. These highly relevant responses had a direct influence on Datastar development. In contrast, some findings from the DCPs were out of scope for the current iteration of Datastar, but they were still interesting because they helped to provide additional details about the ways researchers prefer to interact with their data. Although not all of the findings will result in functionalities in current or later iterations of Datastar, they will almost certainly inform future development. Using the DCPs allowed us to focus Datastar development efforts on addressing real user needs, saving wasted effort. This presentation will discuss both the results of our interviews and the development efforts that were prioritized as a result of our findings.

Canada has made some progress towards data management as a result of the Data Liberation Initiative. We have trained data librarians to mark up data in the Data Documentation Initiative (DDI) standard. This has led to the emergence of tools for access such as odesi and equinox. While this looks like a promising start, researcher-generated data under the auspices of granting councils are largely missing in action. Why?

This presentation will focus on the missing pieces in the research data management puzzle and the role of repositories in completing the picture.

The University of Oregon Libraries and Oregon State University Libraries have been successfully collaborating on a digital asset management system for four years, OregonDigital.org. OregonDigital.org holds diverse collections of digital archival materials from art slides to faculty research to traditional digitized and born-digital archival collections. In addition, we host unique collections from local government, historical societies, and museums. In preparation for a migration to a new platform, based on Hydra, we are re-evaluating the metadata schemas used in these collections and transitioning to an open interoperable framework. A key element in the transition to Hydra is a major metadata transformation from locally customized Qualified Dublin Core, VRA Core 4.0, and MODS to Linked Data vocabularies with formal specifications using RDFS, SKOS, and OWL.

This poster presents our use of the property hierarchies included in RDF vocabularies to build interoperability into our Hydra metadata. Our implementation includes automated cross-schema indexing and intelligent display and navigation of properties unknown to the software. This large undertaking involves re-thinking metadata schemas created over fifteen years by multiple institutions, as well as incorporating new elements, such as those from the DataCite schema. By utilizing existing linked data vocabularies and creating linked properties for additional elements, we are attempting one schema across content types and collections, yet is flexible enough to continue to evolve with our needs.

This poster communicates the development of an assessment program for a newly launched institutional repository. Coinciding with the launch of the Provost's development of his strategic initiatives, Digital Repository @ Iowa State University needed to identify metrics that were aligned with the institutional mission and demonstrated a positive impact on the visibility of the university's research and scholarship.

The Health Research Data Repository (HRDR), located within the Faculty of Nursing, University of Alberta, Canada, entered its operational phase in January 2013. The HRDR employs secure remote access for its approved users and is a secure and confidential environment for supporting health related research projects and the management of their data/metadata. Additionally, the HRDR has a mandate to promote educational opportunities regarding research data management best practices. One of the initial projects underway within the HRDR is collaboration with Metadata Technologies North America (MTNA) and Nooro Online Research in developing a data infrastructure platform for supporting a Longitudinal Monitoring System (LMS) using data collected within the Translating Research in Elder Care (TREC) project (http://www.trecresearch.ca). Specifically, the LMS data infrastructure platform uses DDI based metadata to support the collection/ingestion, harmonization, and merging of TREC data, as well the timely delivery of reports/outputs based on these data. Development of the HRDR, as well as a current overview of its status and projects will be discussed. Specific focus will be placed upon the development, current status, and forward work relating to the TREC Longitudinal Monitoring System project.

Supporting the open access policy of the European Commission, OpenAIRE www.openaire.eu) is moving from a publication infrastructure to a more comprehensive infrastructure that covers all types of scientific output, funded by the European Commission, and widening to other European funding streams. It harvests content from a range of European repositories, and ensures raised visibility of valuable open access content, as well as links to project and funding information. In order to ensure interoperability from these research infrastructures, a common approach is needed to adhere to existing and future guidelines.

In this context, an integrated suite of guidelines have been developed. The poster will briefly outline the OpenAIRE Guidelines: Guidelines for Data Archive Managers, for Literature Repository Managers and for CRIS Managers.

By implementing all three sets of the OpenAIRE Guidelines, repository managers will be able to enable authors who deposit publications in their repository to fulfill the EC Open Access requirements, as well as the requirements of other (national or international) funders with whom OpenAIRE cooperates.

In addition it will allow the OpenAIRE infrastructure to add value‐added services such as discoverability and linking, and creation of enhanced publications. In short, building the stepping‐stones for a linked data infrastructure for research.