| URL: | http://www.gigadb.org |
| Full name: | |
| Description: | GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience; however, it also includes a subset of datasets that are not associated with GigaScience articles (see below). GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. Through our association with DataCite, each dataset in GigaDB will be assigned a DOI that can be used as a standard citation for future use of these data in other articles by the authors and other researchers. Datasets in GigaDB all require a title that is specific to the dataset, an author list, and an abstract that provides information specific to the data included within the set. We encourage detailed information about the data we host to be submitted by their creators in ISA-Tab, a format used by the BioSharing and ISA Commons communities that we work with to maintain the highest data and metadata standards in our journal. To maximize its utility to the research community, all datasets in GigaDB are placed under a CC0 waiver (for more information on the issues surrounding CC0 and data see Hrynaszkiewicz and Cockerill, 2012). |
| Year founded: | 2014 |
| Last update: | |
| Version: | |
| Accessibility: |
Manual:
Accessible
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| Country/Region: | China |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: |
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| Keywords: |
| University/Institution: | BGI HK Research Institute |
| Address: | Department of Genetics, Stanford University, USA, GigaScience team, BGI HK Research Institute, 16 Dai Fu Street, Tai Po Industrial Estate, Hong Kong |
| City: | HongKong |
| Province/State: | HongKong |
| Country/Region: | China |
| Contact name (PI/Team): | Christopher I. Hunter |
| Contact email (PI/Helpdesk): | chris@gigasciencejournal.com |
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GigaDB: promoting data dissemination and reproducibility. [PMID: 24622612]
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. |