The success of the Cancer Moonshot 2020 program will also be dependent upon the sharing of databases, which include clinical information, patient phenotypes, imaging, biochemical measurements, therapies, gene sequencing and systems biology.
This information is shared among participants with common research interests, ultimately leading to an increase in the sharing of databases toward common publications and collaborative funding proposal.
We recommend several fundamental principles to help guide the building, maintaining, and sharing of integrated databases for macrosystems ecology research with an open-science perspective (Table 1).
Future studies with standardized methodologies, especially those that use direct approaches assessing responses to climate change over time, and sharing of data through public databases, will facilitate better predictions of the capacity for plant populations to respond to rapid climate change.
Nevertheless, this situation is expected to improve with greater adoption of these technologies and increased sharing of genetic data in public databases.
One of the key aspects of genomic research, which is frequently adopted by these studies (including those studies involving WGES), is the concept of data sharing through databases to allow for the secondary use of data.
MochiView can maintain multiple databases, and contains a database import/export utility to facilitate sharing of compressed databases (and plot configurations) between users.
Another contributor in this session, Edison Liu (President of the Human Genome Organisation and Executive Director of the Genome Institute of Singapore), provided some possible solutions, highlighting that as microbiology, through genetic high-throughput technologies, is becoming an information science, sharing databases of information will become easier.
Planform write and reads databases stored in a single file, facilitating the organization and sharing of different databases.
However, it is hardly to compare "lipidomic profiles" of those studies and have a sharing database of lipidomic results, due to extremely large variation of facilities, methods, protocols, designs, and samplings in lipidomics.
Among the input-output models, there is a convergence of regional and world modeling approaches and, especially, a sharing of common databases.
