Who's Sharing with Who? Acknowledgements-driven identification of resources

Slides from presentation at FORCE 2015, Oxford, England, January 11, 2015

Synthesizing Web Application Logic Using Structural Analysis of Ontologies

This presentation describes recent work in generating JSP tag libraries from existing ontologies and a representative triple store, as well as a user interface driven by the interlinking of class instances through object properties

Visualizing Virtual Communities in the VIVO Profile Ecosystem

Slides from VIVO 2016 talk

Visualizing the VIVO Profile Ecosystem Using CTSAsearch

CTSAsearch (http://research.icts.uiowa.edu/polyglot) is a federated search engine using VIVO-compliant Linked Open Data published by 64 institutions using six distinct platforms. In aggregate, CTSAsearch has data on ~140,000 researchers and their ~8,300,000 publications. Since its introduction in 2013, the query and visualization mechanisms in CTSAsearch have proven to be the primary elements of user interest. I first present a number of comparative analytic visualizations, characterizing distinctions between classes in the set of institutions as a whole. The remainder of the presentation then covers my approaches to query formulation and visualization.<br

Service-Driven Profile Linkage - The CTSAsearch / CrossLinks Experience

Slides from VIVO 2016 talk

CrossLinks – Towards a Single VIVO Profile Ecosystem

Profiling systems have achieved notable adoption by research institutions. Multi-site search of research profiling systems has substantially evolved since the first deployment of systems such as DIRECT2Experts. CTSAsearch is a federated search engine using VIVO-compliant Linked Open Data (LOD) published by members of the NIH-funded Clinical and Translational Science (CTSA) consortium and other interested parties. Sixty-four institutions are currently included, spanning six distinct platforms and three continents (North America, Europe and Australia). In aggregate, CTSAsearch has data on 150-300 thousand unique researchers and their 10 million publications. The public interface is available at http://research.icts.uiowa.edu/polyglot. We are now in the process of cross-linking co-author data from UCSF’s ProfilesRNS to their respective home institution profiles through the CrossLinks project. CrossLinks interrogates the CTSAsearch SPARQL endpoint (http://marengo.info-science.uiowa.edu:2020), then provides real-time JSON-LD, supporting cross-site linking (with thumbnail images), and effectively creating a single inter-institutional information space. <br

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

VIVO in a networked research ecosystem

One of the goals stated in the VIVO Strategic Plan 2015-2016 is to promote a more open and networked research ecosystem (Goal 2). As more systems become interconnected, the demand for systems integration and interoperability increases but the problems become more complex. <br><br>System of systems (SoS) refers to a set of operationally and managerially independent systems interacting with each other to provide capabilities which cannot be accomplished by any single system. SoS has its own characteristics and challenges, such as emergent behavior and evolutionary development. SoS principles and methods can be applied to the networked research ecosystem and can be helpful in identifying the pain points and opportunities as well as the requirements for future systems integration across VIVO instances and between VIVO and complementary platforms.<br><br>In this presentation we will summarize preliminary work that has been done in a System of Systems approach for a network of VIVOs; review the necessary architecture components; discuss the pros and cons of different integration styles and patterns; identify challenges and opportunities; and highlight some of the SoS level integration requirements for VIVO to function optimally in a networked research ecosystem. <br><br>

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

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

EarthCollab: Implementing, extending and connecting VIVO instances to enable discovery across scientific research networks

Given the interdisciplinary and interorganizational nature of research conducted in the Geosciences, some of the work is conducted using distributed networks of researchers and resources including instruments and platforms. To better enable the discovery of the research output from the scientists and resources used within these organizations, UCAR , Cornell University, and UNAVCO are collaborating on the EarthCollab project which seeks to leverage semantic technologies to manage and link scientific data. The EarthCollab project is working within the following two geoscience-based communities to deploy VIVO instances: (1) the Bering Sea Project , an interdisciplinary field program whose data archive is hosted by NCAR’s Earth Observing Laboratory (EOL), and (2) diverse research projects informed by geodetic tools which are operated and/or maintained by UNAVCO. The lessons we learn about extending or integrating domain specific information into a VIVO instance and about searching across and linking information in multiple VIVO instances should prove relevant and interesting to the VIVO community as a whole. <br>In this presentation, we will discuss our goals and work in the following areas: <br>- Ontology design and implementation driven by Geoscience use cases: We are designing the EarthCollab ontology based on what the two use case communities have identified as information they would like to represent and the information they currently have about data and researchers. We are populating the two use case-specific VIVO instances using the VIVO ontology as the foundation. We have also reviewed multiple existing ontologies, such as GCIS and DCAT to explore how to extend VIVO and represent the relationships between resources, such as instruments and platforms, data, and researchers. We will discuss our ontology design approach and how the different needs of each use case have informed the ontology design. <br>- Cross linking VIVOs and furthering linked data: To support searching across distributed information represented in separate VIVO instances, we are exploring mechanisms for linking information from multiple VIVOs without necessarily having to duplicate or import this information in each instance. Central to these mechanisms are the abilities to: (1) designate multiple URIs from separate VIVO name spaces as equivalent to each other or to an independent unique identifier (such as an ORCiD ID) using sameAs assertions, (2) retrieve the appropriate URIs that might designate the same person using a lookup service based on (1), and (3) display information in a VIVO instance for a URI from a different VIVO instance without having to copy or duplicate information. <br><br