Introduction
(This section should state the way DC Collections achieve X goal of mission statement)
The Data Conservancy’s (DC) overarching goal is to support new forms of inquiry
and learning to meet grand research challenges through an integrated and comprehensive data curation strategy. DC seeks to collect, organize, validate and preserve data in the Life Sciences, Earth and Social Sciences, and Astronomy.
Users
(Who users are and what users do with DC data)
The Data Conservancy collections are preserved to support the grand research challenges that face all of society. Thus, users of the collections include a diverse array policy makers, educators at both the undergraduate and gradual level, citizen scientists, and a broad spectrum of professional and academic researchers.
Collection Scope
The range of materials collected, organized, validated, and preserved
Geographic and Language Coverage
The Data Conservancy seeks to obtain material that assists it’s users in answering research questions rather than specific geographical datasets. The scope of the collection is international. Most resources in the collection have textual components in English, but other languages are not excluded. All metdata must be provided in English.
Thematic and Subject Range
As the foundation of an integrated and comprehensive data curation strategy DC will exploit the notion that observations are the foundation of all scientific studies, and are the closest approximation to facts (Wiens 1992). Therefore, observational data in the life, earth and social sciences, as well as large collections from Astronomy are of highest interest.
Life Sciences
Data in the life sciences collections of the Data Conservancy include six distinct types (observational, experimental, high throughput, monitoring, simulation and analysis) spanning biological domains such as genetics, physiology, ecology, taxonomy and phylogeny etc. The Life Sciences collection goal is to serve data that coming from research of an organism and it’s interaction with the environment.
Earth Sciences include
Social Sciences include
Astronomy includes
From Use Cases:
data that are often cited in publications, but rarely managed in a systematic, organizational context.
scientific inquiry and collaboration that become possible with
appropriate semantic descriptions, links to relevant data and publications, data mining tools, and
notification services.
The role of data from the physical and social sciences in policy decision-making.
The Data Conse