The NSF May be Measuring Your Institution’s Computing Power

Almost exactly two years ago I wrote about a forthcoming survey by the National Science Foundation (NSF) which is a biannual event that historically measures research space on college campuses. In 2003 the NSF added an entire section to measure networking capacity and I anticipated that IT folks on campus would be surprised by the request to provide data that had not previously been asked for.

I really don’t know how “surprised” anyone was, but to my surprise, a considerable number of institutions did in fact find the time to collect and share their data with NSF. Four-hundred and sixty-five institutions responded to the survey. Of those, only a tiny handful did not also provide network data. I’ll summarize here a little bit of the early findings.

You may not know that precision measurement of the ‘Net Assignable Square Feet’ (NASF) of space devoted to research is a key part of the formula by which universities pull out the “administrative overhead” dollars from the research grants received by their faculty. Institutions are naturally very sensitive about this data and the NSF was quite concerned that in 2003 there would be less participation because for the first time ever, it is publishing the actual raw data publicly. There was a slight decline in participation when compared to previous biannual surveys, but not much, so the dataset is large enough to be useful.

With respect to the networking data, here is a sample table that was produced for the initial web report, titled Universities Continue to Expand Their Research Space with the Largest Increase Since 1988; Data Reported for Networking Capacity. Note that for space data, institutions were only asked about their research space but for network data the questions were intended to elicit data for all networking and information technology, whether used for research or not.






As with all of the tables in the initial report, an Excel file of the source data for the table is also published here. Further, individual institution data will be available from the Integrated Science and Engineering Resources Data System, and a large set of additional, detailed statistical tables with supporting data will eventually be available on the NSF website.

So, what can we learn from the initial reporting?

  • Well, doctorate granting institutions have more, higher-speed networks than do non-doctorate institutions.
  • Both kinds of institutions planed to increase the percentage of higher-speed networks in the next fiscal year, even though perhaps not planning to increase the number of connections on campus.
  • More doctorate granting institutions are connected to Abilene (79 percent) than of non-doctorate institutions (28 percent).
  • Although wired connections are far more used for research than wireless, everyone is moving to more and more wireless.
  • An amazing 92 percent of reporting institutions claim to either have a centralized, institution-wide IT plan or a college/departmental IT plan. But those plans varied in terms of their coverage of networking versus computer workstations, and so forth.

Like I said, this is a very initial report. A plethora of tables and analysis is about to pour forth and I guess the point of my writing about this, this week, is that if you care about this data and its analysis, you’ll want to be keeping an eye on the websites I’ve linked to above.

SCUP member Leslie Christovich, who is the manager of this NSF project, has said that folks who are really interested but who don’t want to wait for formal publication of the data may contact her direct and she may then be able to make it available on an individual basis: [email protected].

Featured

  • Human Hand Assembling Digital Data Blocks

    Report: AI Impact Starts with Strong Data Foundation

    High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to TDWI's 2026 Blueprint report.

  • woman

    AI Giants Back Nonprofit Focused on Workforce Transition

    The AI industry's biggest names are investing in more than just models and infrastructure — they're focusing on workforce readiness. OpenAI, Anthropic, Microsoft and Amazon are backing Raise US, a new nonprofit that aims to raise $1 billion to help American workers prepare for an AI-driven economy.

  • A digital shield composed of glowing particles

    Microsoft Combines Sentinel and Defender Products for Agentic Security Operations

    Microsoft is combining its security information and event management and threat protection capabilities within Microsoft Defender, creating what the company calls an Integrated Security Operations Center built for an era of AI-driven attacks.

  • man viewing holographic display of data and code

    Why Cross-Skilling Is the Smartest Investment a Campus IT Team Can Make

    Higher education IT teams are being asked to keep pace with AI, cloud, and cybersecurity on flat budgets, and hiring a specialist for every new need can no longer keep up. Building adjacent skills across the people already on staff creates more agile, resilient teams that move faster and retain talent without adding headcount. Pluralsight makes the strategy work through skill assessments, tailored learning paths, hands-on labs and sandboxes, and microlearning that fits into the flow of work.