Portal de Periódicos da CAPES

The COMPARE Data Hubs

2019; University of Oxford; Volume: 2019; Linguagem: Inglês

10.1093/database/baz136

1758-0463

Clara Amid, Nima Pakseresht, Nicole Silvester, Suran Jayathilaka, Ole Lund, Lukasz D. Dynovski, Bálint Pataki, Dávid Visontai, Basil Britto Xavier, Blaise Alako, Ariane Belka, Jose Luis Bellod Cisneros, Matthew Cotten, George B. Haringhuizen, Peter W. Harrison, Dirk W. Höper, Sam Holt, Camilla Hundahl, Abdulrahman Hussein, Rolf Sommer Kaas, Xin Liu, Rasko Leinonen, Surbhi Malhotra‐Kumar, David F. Nieuwenhuijse, Nadim Rahman, Carolina dos S. Ribeiro, Jeffrey E. Skiby, Dennis Schmitz, József Stéger, János Márk Szalai-Gindl, Martin Christen Frølund Thomsen, Simone M. Cacciò, István Csabai, Annelies Kroneman, Marion Koopmans, Frank M. Aarestrup, Guy Cochrane,

Distributed and Parallel Computing Systems

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.