Datanet

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 introduction in the solicitation goes on to say:

The initial plan called for a $100 million initiative: five awards of $20 million each over five years with the possibility of continuing funding. Awards were given in two rounds. In the first round, for which full proposals were due on March 21, 2008, two DataNet proposals were awarded. DataONE, led by William Michener at the University of New Mexico covers ecology, evolutionary, and earth science. The Data Conservancy, led by Sayeed Choudhury of Johns Hopkins University, focuses on astronomy, earth science, life sciences, and social science.

For the second round, preliminary proposals were due on October 6, 2008 and full proposals on February 16, 2009. Awards from the second round were greatly delayed, and funding was reduced substantially from $20 million per project to $8 million. Funding for three second round projects began in Fall 2011. SEAD: Sustainable Environment through Actionable Data, led by Margaret Hedstrom of the University of Michigan, seeks to provide data curation software and services for the "long tail" of small- and medium-scale data producers in the domain of sustainability science. The DataNet Federation Consortium, led by Reagan Moore of the University of North Carolina, uses the integrated Rule-Oriented Data System (iRODS) to provide data grid infrastructure for science and engineering. Terra Populus, led by Steven Ruggles of the University of Minnesota focuses on tools for data integration across the domains of social science and environmental data, allowing interoperability of the three major data formats used in these domains: microdata, areal data, and raster data.

DATANET-30

The DATANET-30 was a computer manufactured by General Electric designed to be used as a front-end processor for data communications.

The DATANET-30 used magnetic core memory with a cycle time of 6.94 μs. The word size was 18 bits and memory was available in sizes of 4K, 8K, or 16K words. The system could attach up to 128 asynchronous terminals, nominally at speeds of up to "3000 bits per second", but usually limited to the 300 bits per second supported by standard common-carrier facilities of the time.

The DATANET-30 could also operate in synchronous mode at speeds up to 2400 bits per second.

A Computer Interface Unit allowed the DATANET-30 to communicate with a GE-200 series computer using direct memory access (DMA). It could also attach to the I/O channel of a GE-400 series, or GE-600 series system.

An optional attachment allowed the DATANET-30 to attach GE-200 series peripherals such as disk storage, magnetic tape, or a line printer.

The system was also a general purpose computer, with a number of special-purpose hardware registers. The instruction set contained 78 instructions.