Abstract
Scientific data Infrastructures can be defined as managed digital scientific data-networked environments consisting of services and tools that support: (i) the full life cycle of scientific data (capture, collection, curation, documentation, analysis, visualization, preservation, and publication), (ii) the movement of scientific data across scientific disciplines, (iii) the creation of open linked data spaces by connecting data sets from diverse disciplines, and (iv) the interoperation between scientific data and literature for the benefit of different communities of researchers involved in data-intensive multidisciplinary activities.
| Original language | English |
|---|---|
| Title of host publication | Knowledge Exchange Primary Research Data Working Group |
| Place of Publication | Bonn |
| Publisher | Unknown Publisher |
| Publication status | Published - 2011 |