activity
20112023
most citedBiolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science

109 citations · 333 across the 23 of their papers we have counts for

collaborators

23 papers

cs.DL2023

FAIR Begins at home: Implementing FAIR via the Community Data Driven Insights

Carlos Utrilla Guerrero, Maria Vivas Romero, Marc Dolman +1

Arguments for the FAIR principles have mostly been based on appeals to values. However, the work of onboarding diverse researchers to make efficient and effective implementations o…

cs.CY2023★ 1 cited

TAPS Responsibility Matrix: A tool for responsible data science by design

Visara Urovi, Remzi Celebi, Chang Sun +6

Data science is an interdisciplinary research area where scientists are typically working with data coming from different fields. When using and analyzing data, the scientists impl…

cs.LG2022★ 2 cited

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs

Chang Sun, Johan van Soest, Michel Dumontier

Despite the remarkable success of Generative Adversarial Networks (GANs) on text, images, and videos, generating high-quality tabular data is still under development owing to some…

cs.DB2022★ 109 cited

Biolink Model: A Universal Schema for Knowledge Graphs in Clinical, Biomedical, and Translational Science

Deepak R. Unni, Sierra A. T. Moxon, Michael Bada +21

Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph-based data models elucidate the int…

q-bio.QM2022

BioSimulators: a central registry of simulation engines and services for recommending specific tools

Bilal Shaikh, Lucian P. Smith, Dan Vasilescu +68

Computational models have great potential to accelerate bioscience, bioengineering, and medicine. However, it remains challenging to reproduce and reuse simulations, in part, becau…

cs.DC2022★ 2 cited

LUCE: A Blockchain-based data sharing platform for monitoring data license accountability and compliance

Visara Urovi, Vikas Jaiman, Arno Angerer +1

Easy access to data is one of the main avenues to accelerate scientific research. As a key element of scientific innovations, data sharing allows the reproduction of results, helps…

cs.HC2021★ 10 cited

User-friendly Composition of FAIR Workflows in a Notebook Environment

Robin A Richardson, Remzi Celebi, Sven van der Burg +4

There has been a large focus in recent years on making assets in scientific research findable, accessible, interoperable and reusable, collectively known as the FAIR principles. A…

cs.AI2020★ 1 cited

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…

cs.LG2019★ 3 cited

Towards FAIR protocols and workflows: The OpenPREDICT case study

Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan +4

It is essential for the advancement of science that scientists and researchers share, reuse and reproduce workflows and protocols used by others. The FAIR principles are a set of g…

cs.LG2019★ 3 cited

Privacy-Preserving Generalized Linear Models using Distributed Block Coordinate Descent

Erik-Jan van Kesteren, Chang Sun, Daniel L. Oberski +2

Combining data from varied sources has considerable potential for knowledge discovery: collaborating data parties can mine data in an expanded feature space, allowing them to explo…

cs.DC2019★ 12 cited

LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE

Andine Havelange, Michel Dumontier, Birgit Wouters +4

In this paper we present our preliminary work on monitoring data License accoUntability and CompliancE (LUCE). LUCE is a blockchain platform solution designed to stimulate data sha…

cs.CY2018★ 1 cited

Analyzing Partitioned FAIR Health Data Responsibly

Chang Sun, Lianne Ippel, Birgit Wouters +11

It is widely anticipated that the use of health-related big data will enable further understanding and improvements in human health and wellbeing. Our current project, funded throu…

cs.DL2018★ 12 cited

Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data

Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic +12

Nanopublications are a Linked Data format for scholarly data publishing that has received considerable uptake in the last few years. In contrast to the common Linked Data publishin…

cs.SI2016★ 51 cited

The emergence and evolution of the research fronts in HIV/AIDS research

David Fajardo-Ortiz, Malaquias Lopez-Cervantes, Luis Duran +4

In this paper, we have identified and analyzed the emergence, structure and dynamics of the paradigmatic research fronts that established the fundamentals of the biomedical knowled…

cs.SE2016★ 2 cited

A Web API ecosystem through feature-based reuse

Ruben Verborgh, Michel Dumontier

The fast-growing Web API landscape brings clients more options than ever before---in theory. In practice, they cannot easily switch between different providers offering similar fun…

cs.AI2015★ 4 cited

On Reasoning with RDF Statements about Statements using Singleton Property Triples

Vinh Nguyen, Olivier Bodenreider, Krishnaprasad Thirunarayan +6

The Singleton Property (SP) approach has been proposed for representing and querying metadata about RDF triples such as provenance, time, location, and evidence. In this approach,…

cs.DB2015★ 5 cited

Exposing Provenance Metadata Using Different RDF Models

Gang Fu, Evan Bolton, Núria Queralt Rosinach +5

A standard model for exposing structured provenance metadata of scientific assertions on the Semantic Web would increase interoperability, discoverability, reliability, as well as…

cs.CY2015

Provenance-Centered Dataset of Drug-Drug Interactions

Juan M. Banda, Tobias Kuhn, Nigam H. Shah +1

Over the years several studies have demonstrated the ability to identify potential drug-drug interactions via data mining from the literature (MEDLINE), electronic health records,…

cs.DL2014★ 1 cited

Publishing without Publishers: a Decentralized Approach to Dissemination, Retrieval, and Archiving of Data

Tobias Kuhn, Christine Chichester, Michael Krauthammer +1

Making available and archiving scientific results is for the most part still considered the task of classical publishing companies, despite the fact that classical forms of publish…

cs.CR2014★ 26 cited

Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data

Tobias Kuhn, Michel Dumontier

To make digital resources on the web verifiable, immutable, and permanent, we propose a technique to include cryptographic hash values in URIs. We call them trusty URIs and we show…

cs.DL2013★ 5 cited

Ovopub: Modular data publication with minimal provenance

Alison Callahan, Michel Dumontier

With the growth of the Semantic Web as a medium for creating, consuming, mashing up and republishing data, our ability to trace any statement(s) back to their origin is becoming ev…

cs.AI2012★ 81 cited

Towards quantitative measures in applied ontology

Robert Hoehndorf, Michel Dumontier, Georgios V. Gkoutos

Applied ontology is a relatively new field which aims to apply theories and methods from diverse disciplines such as philosophy, cognitive science, linguistics and formal logics to…

cs.OH2011★ 2 cited

Towards an interoperable information infrastructure providing decision support for genomic medicine

Matthias Samwald, Holger Stenzhorn, Michel Dumontier +3

Genetic dispositions play a major role in individual disease risk and treatment response. Genomic medicine, in which medical decisions are refined by genetic information of particu…