title: GigaDB: promoting data dissemination and reproducibility.
abstract: Often papers are published where the underlying data supporting the research are not made available because of the limitations of making such large data sets publicly and permanently accessible. Even if the raw data are deposited in public archives, the essential analysis intermediaries, scripts or software are frequently not made available, meaning the science is not reproducible. The GigaScience journal is attempting to address this issue with the associated data storage and dissemination portal, the GigaScience database (GigaDB). Here we present the current version of GigaDB and reveal plans for the next generation of improvements. However, most importantly, we are soliciting responses from you, the users, to ensure that future developments are focused on the data storage and dissemination issues that still need resolving. Database URL: http://www.gigadb.org.
authors.affiliation: Department of Genetics, Stanford University, USA, GigaScience team, BGI HK Research Institute, 16 Dai Fu Street, Tai Po Industrial Estate, Hong Kong.
authors.forename: Tam P
authors.initials: TP
authors.lastname: Sneddon
authors.forename: Xiao Si
authors.initials: XS
authors.lastname: Zhe
authors.forename: Scott C
authors.initials: SC
authors.lastname: Edmunds
authors.forename: Peter
authors.initials: P
authors.lastname: Li
authors.forename: Laurie
authors.initials: L
authors.lastname: Goodman
authors.forename: Christopher I
authors.initials: CI
authors.lastname: Hunter
mesh_terms: D001319:Authorship; D030541:Databases, Genetic; D033181:Information Dissemination; D011642:Publications; D015203:Reproducibility of Results