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DataNet, or Sustainable Digital Data Preservation and Access Network Partner, was a research program of the U.S. National Science Foundation Office of Cyberinfrastructure. The office announced a request for proposals with this title on September 28, 2007. The lead paragraph of its synopsis describes the program as:
The analysis highlights Science, Art and Technology as prominent areas in the source structure around Datanet.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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See recurring relationship patterns around Datanet before inspecting the individual extracted relationships.
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data science led university digital research engineering provide round program proposals new infrastructure awards funding sustainable cyberinfrastructure national office scientific
TTTA extracted structured relationships around Datanet. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|
The concept neighborhoods around Datanet bring nearby vocabulary together. In this analysis, examples include Data, Infrastructure and Sustainable. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the Datanet map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Datanet to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Datanet · EN edition · Analysis: TopicsToTalkAbout
