Paul Groth

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Open PHACTS is a public-private partnership between academia, publishers, small and medium sized enterprises and pharmaceutical companies. The goal of the project is to deliver and sustain an 'open pharmacological space' using and enhancing state-of-the-art semantic web standards and technologies. It is focused on practical and robust applications to solve(More)
—Understanding real world events often calls for the integration of data from multiple often conflicting sources. Trusting the description of an event requires not only determining trust in the data sources but also in the integration process itself. In this work, we propose a trust algorithm for event data based on Subjective Logic that takes into account(More)
Growing scholarly use of Web tools present an opportunity to track alternative impacts along heretofore invisible paths like reading , bookmarking, and discussing. We present two tools, CitedIn and total-impact, that gather and report these and other " altmetrics " After discussing the tools features, we use a set of 214 articles from a national research(More)
This article offers a short guide to the steps scientists can take to ensure that their data and associated analyses continue to be of value and to be recognized. In just the past few years, hundreds of scholarly papers and reports have been written on questions of data sharing, data provenance, research reproducibility, licensing, attribution, privacy, and(More)
Annotating datasets with metadata is an important part of organizing and curating data. However, it is a time consuming process and often not done in a rigorous fashion. In this paper, we propose a new approach to annotating datasets through the use of reconstructed provenance. A detailed survey of the related work in this area is given. Additionally, we(More)
Within complex scientific domains such as pharmacology, operational equivalence between two concepts is often context-, user-and task-specific. Existing Linked Data integration procedures and equivalence services do not take the context and task of the user into account. We present a vision for enabling users to control the notion of operational equivalence(More)
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that(More)
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide(More)
Automatic provenance capture from arbitrary applications is a challenging problem. Different approaches to tackle this problem have evolved, most notably a. system-event trace analysis, b. compile– time static instrumentation, and c. taint flow analysis using dynamic binary instrumentation. Each of these approaches offers different trade-offs in terms of(More)