BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services

Toshiaki Katayama, Shuichi Kawashima, Gos Micklem, Shin Kawano, Jin-Dong Kim, Simon Kocbek, Shinobu Okamoto, Yue Wang, Hongyan Wu, Atsuko Yamaguchi, Yasunori Yamamoto, Erick Antezana, Kiyoko F. Aoki-Kinoshita, Kazuharu Arakawa, Masaki Banno, Joachim Baran, Jerven T. Bolleman, Raoul J. P. Bonnal, Hidemasa Bono, Jesualdo T. Fernández-BreisRobert Buels, Matthew P. Campbell, Hirokazu Chiba, Peter J. A. Cock, Kevin B. Cohen, Michel Dumontier, Takatomo Fujisawa, Toyofumi Fujiwara, Leyla Garcia, Pascale Gaudet, Emi Hattori, Robert Hoehndorf, Kotone Itaya, Maori Ito, Daniel Jamieson, Simon Jupp, Nick Juty, Alex Kalderimis, Fumihiro Kato, Hideya Kawaji, Takeshi Kawashima, Akira R. Kinjo, Yusuke Komiyama, Masaaki Kotera, Tatsuya Kushida, James Malone, Masaaki Matsubara, Satoshi Mizuno, Sayaka Mizutani, Hiroshi Mori, Yuki Moriya, Katsuhiko Murakami, Takeru Nakazato, Hiroyo Nishide, Yosuke Nishimura, Soichi Ogishima, Tazro Ohta, Shujiro Okuda, Hiromasa Ono, Yasset Perez-Riverol, Daisuke Shinmachi, Andrea Splendiani, Francesco Strozzi, Shinya Suzuki, Junichi Takehara, Mark Thompson, Toshiaki Tokimatsu, Ikuo Uchiyama, Karin Verspoor, Mark D. Wilkinson, Sarala Wimalaratne, Issaku Yamada, Nozomi Yamamoto, Masayuki Yarimizu, Shoko Kawamoto, Toshihisa Takagi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Publishing databases in the Resource Description Framework (RDF) model is becoming widely accepted to maximize the syntactic and semantic interoperability of open data in life sciences. Here we report advancements made in the 6th and 7th annual BioHackathons which were held in Tokyo and Miyagi respectively. This review consists of two major sections covering: 1) improvement and utilization of RDF data in various domains of the life sciences and 2) meta-data about these RDF data, the resources that store them, and the service quality of SPARQL Protocol and RDF Query Language (SPARQL) endpoints. The first section describes how we developed RDF data, ontologies and tools in genomics, proteomics, metabolomics, glycomics and by literature text mining. The second section describes how we defined descriptions of datasets, the provenance of data, and quality assessment of services and service discovery. By enhancing the harmonization of these two layers of machine-readable data and knowledge, we improve the way community wide resources are developed and published.  Moreover, we outline best practices for the future, and prepare ourselves for an exciting and unanticipatable variety of real world applications in coming years.
Original languageEnglish (US)
Pages (from-to)1677
JournalF1000Research
Volume8
DOIs
StatePublished - Sep 23 2019

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Medicine
  • General Immunology and Microbiology
  • Pharmacology, Toxicology and Pharmaceutics(all)

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