Linked Data for Local Search: Helping patients find their way around a geographically complex academic health center

<p>Oregon Health and Science University’s (OHSU) main and expansion campuses are respectively situated at the top and eastern base of Portland's Marquam Hill, a beautiful but geographically challenging location that can present significant obstacles for patients finding their way to appointments with OHSU healthcare providers. These wayfinding challenges are exacerbated by a lack of search engine exposure to detailed structured data describing the university’s campuses, buildings, clinics, satellite locations, and providers, which also hampers the ability of both current and future patients to find information about seeking healthcare services at the university in general. OHSU commits significant resources to assisting patients find their way around once they arrive at a campus, including parking valets and information concierges, but until recently there had not been a focus on the quality and accuracy of information about OHSU entities found on the web. In 2016, OHSU launched the Project to Inform Local Search, also known as PILS, a collaborative effort between the university’s Digital Engagement and Digital Strategy teams and the OHSU Library to implement a semantic data model that would allow the university to canonically describe all of its campuses, buildings, locations, clinics, and providers in order to provide accurate and trustworthy structured data about these entities to search engines, map providers, healthcare review sites, and other consumers of structured and linked data on the web. The ultimate goal of the project is to enhance patient experience around seeking information on the web about the university’s healthcare services, with a particular focus on the structured data that would assist patients in getting to appointments. This presentation will describe some of the specific local search issues OHSU set out to resolve, the background research conducted to develop competency questions to inform the creation of the model, the implementation of the semantic model, the data integration approach, the project deliverables, and potential future expansions and applications of the model. The PILS collaborators hope our work might inspire similar efforts at other academic health centers</p

Getting Data from Your VIVO: An Introduction to SPARQL

Presented as a workshop at VIVO 2016 in Denver, C

VIVO for Historical Persons (VIVO4HP)

VIVO for Historical Persons (VIVO4HP) is an experiment to re-use and extend the OpenRIF VIVO-ISF ontology to accommodate historical persons, using early Stuart diplomats (1603-1649) as a use case. These slides are from our team's VIVO 2016 Featured Presentation

Taking VIVO into the Past: Adapting the VIVO Researcher Profile System to Historical Persons

<div> <div> <div> <div> <p>VIVO for Historical Persons (VIVO4HP) is an experiment to re-use and extend the OpenRIF VIVO-ISF ontology to accommodate historical persons, using early Stuart diplomats (1603-1649) as a use case.</p> </div> </div> </div> </div

SciENcv-OpenRIF Integration

This presentation was given as part of the OpenRIF workshop on April 17, 2016 at the FORCE2016 conference.  It provides background on the SciENcv system, the goals of integrating it with OpenRIF, and some details on how the integration is being accomplished.<br

Attribution of Work in the Scholarly Ecosystem

In this project we have outlined a list of contributor roles identified by the Force 11 Attribution Working Group. Contributor roles from existing taxonomies were leveraged (CRediT) and further enhanced with more finely-resolved contributor roles based on an in-depth investigation of activities and outputs. We have also collated and reviewed existing efforts on scholarly contribution taxonomies to determine their unique aspects, and how they complement each other. We reviewed the landscape of taxonomies and systems in order to compare and contrast key types of contributions.  We also considered the objectives needed to create a contributorship model that is robust enough to cover various fields of research, and specific enough to adequately describe contribution in a meaningful way.<br><br>We found there to be a diverse landscape of projects and groups working in this area, though each with its own perspective. A brief outline of the coverage, goals and relevant factors of these projects or groups is provided. Several projects were identified as being relevant to this inquiry, including Contributor Roles Taxonomy Project (CRediT), VIVO-ISF ontology, Provenance (PROV), the Becker Model and other impact frameworks, Transitive Credit, Academic Careers Understood through Measurement and Norms (ACUMEN Project), and the Scholarly Contributions and Roles Ontology (SCoRO). Additionally, several working groups were identified: Global Alliance for Genomics and Health (GA4GH), National Information Standards Organization (NISO), and the Force 11 Attribution Working Group.<br><br>Through the in-depth study of different contribution roles in the scholarly process, we were able to better understand how these contributions might be structured – in terms of a particular output (manuscript, dataset, etc.) and also contributions to the project as a whole.  Moreover, we developed a 2-level hierarchy to enable more complete representation of these roles through major classes such as author, communication, data, IP, project and team management, regulatory administration, software development, and so on.<br><br>While there are projects and ongoing efforts to better understand the diverse roles that professionals take on when contributing to the scholarly ecosystem, it is clear that more work is needed to fully explore the area of contributorship roles. Several leaders in this area have proposed projects to define an informatics infrastructure that enables the collection and dissemination on contributor attribution data to various stakeholder audiences. Projects of that nature bring excitement and expectation, as we wait to see where they will take us and how greatly they will impact the scholarly ecosystem. Perhaps most important is the need to accomplish this work in an open, collaborative manner, leveraging data standards along the way to enable interoperability and integration with existing architectures. <br><br

Enhancing SciENcv through semantic research profile integration with the VIVO-ISF ontology

SciENcv/VIVO-ISF alignment project poster presented at VIVO 2016

The Ontology Development Group: A Visual Timeline

A poster presentation from the Oregon Health & Science University BICC 25 year anniversary celebration on October 28, 2016 describing the work of the Ontology Development Group in the OHSU Library.<div><br></div><div>The Ontology Development Group (ODG) strives to promote research innovations, service development, and education through semantically enabled technologies for the purposes of data management and publication, research reproducibility, and the building of novel tools for biomedical data exploration.</div

Who we are and what we contribute: The Open Research Information Framework as a means to understand scholarship

OpenRIF poster presented at VIVO 2016 and PNC/MLA 2016

OpenVIVO: A VIVO anyone can join

Poster presented June 14, 2016 at OR2016, Dublin I