Open AccessThe COMPARE Data Hubs
Author(s) -
Clara Amid,
Nima Pakseresht,
Nicole C. Silvester,
Suran Jayathilaka,
Ole Lund,
Lukasz D. Dynovski,
Bálint Pataki,
Dávid Visontai,
Basil Britto Xavier,
Blaise T. F. Alako,
Ariane Belka,
Jose Luis Bellod Cisneros,
Matthew Cotten,
George Haringhuizen,
Peter W. Harrison,
Dirk W. Höper,
Sam Holt,
Camilla Hundahl,
Abdulrahman Hussein,
Rolf Sommer Kaas,
Xin Liu,
Rasko Lein,
Surbhi Malhotra-Kumar,
David F. Nieuwenhuijse,
Nadim Rahman,
Carolina dos S. Ribeiro,
Jeffrey Edward Skiby,
Dennis Schmitz,
József Stéger,
János M. Szalai-Gindl,
Martin Christen Frølund Thomsen,
Simone M. Cacciò,
István Csabai,
Annelies Kroneman,
Marion Koopmans,
Frank Møller Aarestrup,
Guy Cochrane
Publication year - 2019
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/baz136
Subject(s) - computer science , information retrieval , database
Data sharing enables research communities to exchange findings and build upon the knowledge that arises from their discoveries. Areas of public and animal health as well as food safety would benefit from rapid data sharing when it comes to emergencies. However, ethical, regulatory and institutional challenges, as well as lack of suitable platforms which provide an infrastructure for data sharing in structured formats, often lead to data not being shared or at most shared in form of supplementary materials in journal publications. Here, we describe an informatics platform that includes workflows for structured data storage, managing and pre-publication sharing of pathogen sequencing data and its analysis interpretations with relevant stakeholders.