Name
Abstract | ||
|---|---|---|
Data sharing is the practice of making data available for use by others. Ecologists are increasingly generating and sharing an immense volume of data. Such data may serve to augment existing data collections and can be used for synthesis efforts such as meta-analysis, for parameterizing models, and for verifying research results (i.e., study reproducibility). Large volumes of ecological data may be readily available through institutions or data repositories that are the most comprehensive available and can serve as the core of ecological analysis. Ecological data are also employed outside the research context and are used for decision-making, natural resource management, education, and other purposes. Data sharing has a long history in many domains such as oceanography and the biodiversity sciences (e.g., taxonomic data and museum specimens), but has emerged relatively recently in the ecological sciences. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ecoinf.2015.06.010 | Ecological Informatics |
Keywords | Field | DocType |
Data publication,Data sharing,Information technology,Metadata,Open access,Policy | Data integration,Ecology,Data mining,Metadata,Data quality,Computer science,Data sharing,Knowledge management,Cyberinfrastructure,Data management,Metadata management,Spatial data infrastructure | Journal |
Volume | ISSN | Citations |
29 | 1574-9541 | 9 |
PageRank | References | Authors |
0.99 | 10 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William K. Michener | 1 | 158 | 16.17 |