Alasdair J G Gray

PeerJ Author & Reviewer

Summary

Alasdair is a lecturer in computer science at Heriot-Watt University, Edinburgh, UK.

My research focuses on applied information management: utilising and extending advances in knowledge management technologies to improve information systems; principally in scientific disciplines. This approach supports advances in science while deepening the understanding of knowledge based systems to support future applications.

Bioinformatics Computational Science Data Science Databases Mobile & Ubiquitous Computing Real-Time & Embedded Systems World Wide Web & Web Science

Past or current institution affiliations

Heriot-Watt University

Work details

Assistant Professor

Heriot-Watt University

September 2013

Computer Science

Websites

PeerJ Contributions

April 24, 2017

Interoperability and FAIRness through a novel combination of Web technologies

Mark D. Wilkinson, Ruben Verborgh, Luiz Olavo Bonino da Silva Santos, Tim Clark, Morris A. Swertz, Fleur D.L. Kelpin, Alasdair J.G. Gray, Erik A. Schultes, Erik M. van Mulligen, Paolo Ciccarese, Arnold Kuzniar, Anand Gavai, Mark Thompson, Rajaram Kaliyaperumal, Jerven T. Bolleman, Michel Dumontier

https://doi.org/10.7717/peerj-cs.110

August 16, 2016

The health care and life sciences community profile for dataset descriptions

Michel Dumontier, Alasdair J.G. Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary Bader, Joachim Baran, Jerven T. Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A. Gombocz, Alejandra N. Gonzalez-Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Christopher J. Mungall, Laurens Rietveld, Sarala M. Wimalaratne, Atsuko Yamaguchi

https://doi.org/10.7717/peerj.2331 PubMed 27602295

January 9, 2017 - Version: 2

The health care and life sciences community profile for dataset descriptions

Michel Dumontier, Alasdair J G Gray, M. Scott Marshall, Vladimir Alexiev, Peter Ansell, Gary D Bader, Joachim Baran, Jerven T Bolleman, Alison Callahan, José Cruz-Toledo, Pascale Gaudet, Erich A Gombocz, Alejandra N Gonzalez Beltran, Paul Groth, Melissa Haendel, Maori Ito, Simon Jupp, Nick Juty, Toshiaki Katayama, Norio Kobayashi, Kalpana Krishnaswami, Camille Laibe, Nicolas Le Novère, Simon Lin, James Malone, Michael Miller, Chris Mungall, Laurens Rietveld, Sarala M Wimalaratne, Atsuko Yamaguchi

https://doi.org/10.7287/peerj.preprints.1982v2

January 2, 2017 - Version: 2

Interoperability and FAIRness through a novel combination of Web technologies

Mark D Wilkinson, Ruben Verborgh, Luiz Olavo Bonino da Silva Santos, Tim Clark, Morris A Swertz, Fleur D.L. Kelpin, Alasdair J. G. Gray, Erik A. Schultes, Erik M. van Mulligen, Paolo Ciccarese, Arnold Kuzniar, Anand Gavai, Mark Thompson, Rajaram Kaliyaperumal, Jerven T. Bolleman, Michel Dumontier

https://doi.org/10.7287/peerj.preprints.2522v2

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

September 29, 2022

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata

Houcemeddine Turki, Dariusz Jemielniak, Mohamed A. Hadj Taieb, Jose E. Labra Gayo, Mohamed Ben Aouicha, Mus’ab Banat, Thomas Shafee, Eric Prud’hommeaux, Tiago Lubiana, Diptanshu Das, Daniel Mietchen

https://doi.org/10.7717/peerj-cs.1085