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Topic dossier · Data and Compute

Research infrastructure access

Supercomputers, data repositories, telescopes, laboratories and testbeds are expensive shared facilities, and who can use them shapes what science gets done and by whom. Access rules, peer review, costs, skills and connectivity can exclude smaller institutions and researchers in many countries. This page sets out how access to research infrastructure works, how fairness and use are measured, and what evidence serves the funders and operators who set access policy.

01In brief

The short answer.

Access to research infrastructure is the set of rules, costs and support that decide who can use shared facilities such as supercomputers, repositories and laboratories. Peer review, skills, connectivity and fees can exclude smaller institutions and researchers in many countries, and federation and training widen reach.

02Geography

Infrastructure exposure in the contiguous United States.

For research infrastructure access, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 3

Infrastructure exposure, for this page

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

For research infrastructure access, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density, framed on the contiguous United States; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · GDACS · Copernicus Sentinel-2 L2ASources and licences

  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). CC BY 4.0
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live: NASA EONET Events are indicative, not official warnings.
  • Live: GDACS (EC JRC / UN OCHA) Events are indicative, not official warnings.
  • Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer
  • Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
  • True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
  • Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE · 13 Oct 2026

03The question

Research infrastructure access: how the risk develops.

Cost and governance of scientific facilities. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.

Mechanism

Peer review allocates scarce time

Excellence-based review allocates time to the strongest proposals, which can favour well-resourced groups with experience of writing them.

Mechanism

Skills are a hidden barrier

Researchers need training to use advanced facilities. Without support, access in principle does not become use in practice.

Mechanism

Connectivity and cost exclude

Limited bandwidth, travel costs and user fees keep researchers in lower-income countries from using remote and international facilities.

Mechanism

Federation widens reach

Federated identity, shared allocation schemes and regional hubs let researchers use facilities across institutions and borders.

04Key terms

Terms used on this page.

Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.

TermDefinition
Excellence-based accessAllocation of facility time by peer review of scientific merit.
Wide accessAn access mode that opens a facility to as many users as possible with lighter review.
Research and education networkA network that connects universities and research institutions at high capacity.
05Indicators

What is measured, and how well.

Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.

IndicatorUnitCadenceSource typeLabel
Access proposals received and grantedcount and success rateper callFacility allocation recordsOFFICIAL
Users by institution type and country income groupcountannualFacility user recordsOBSERVED
First-time userspercent of usersannualFacility user recordsOBSERVED
Training participantscountannualTraining recordsREPORTED
Research network bandwidth to institutionsgigabits per secondper assessmentResearch and education network dataOBSERVED
Publications acknowledging facility usecountannualBibliometric analysisESTIMATED
06Canvas

From sources to decisions.

The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.

Pipeline canvas · Research infrastructure access as a run graphDesign, not a record
Research infrastructure access: systematic evidence synthesisA question is framed with its owner and a protocol registered; records are searched, screened and checked for eligibility by two reviewers; data are extracted, synthesised and graded for certainty before a brief is written. Design of the process, not a record of a run.

Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.

07Sources

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

SourceWhat it givesLicence class
ESFRI roadmap and access policiesEuropean research infrastructures and their access rulesPublic, EU terms
European Charter for Access to Research InfrastructuresPrinciples for access modes and policiesPublic, EU terms
EuroHPC and national HPC allocation statisticsProposals, allocations and usersPublic records, terms per body
GÉANT and regional research and education network reportsConnectivity of research institutionsPublic, terms per network
OECD Global Science Forum reports on research infrastructuresInternational access and governance practicePublic, OECD terms
08Decisions

Who decides, and what the evidence serves.

Data and Compute prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

Who decidesThe questionEvidence this page serves
Research infrastructure operatorsHow to design access policies and user supportPolicy reviews; user analyses
Research fundersHow to fund access for under-served researchersDiversity and training evidence
Regional research networksWhere connectivity limits accessBandwidth evidence

Outputs this topic produces

  • Access policy reviews against the European Charter and peer practice
  • User diversity analyses by institution and country
  • Training and support gap assessments
  • Federated access design notes
09Core questions

What experts ask about access.

  • Who can use a facility, on what terms, and how are competing requests weighed?
  • How are operating costs covered over a facility's lifetime, not only its construction?
  • Do researchers in lower-income countries and smaller institutions have meaningful access?
  • What skills and support do users need to make good use of the facility?
  • How are data produced at a facility preserved and shared after a project ends?
  • How should access be prioritized during an emergency, when urgent public-interest workloads compete with planned research?
10Mechanisms

What shapes access.

Access is shaped as much by everything around a facility as by the facility itself. Network connectivity, local skills, support staff and the time needed to prepare a competitive proposal all decide who can actually use capacity that is nominally open to all.

Cost

Lifetime funding

Construction is often funded once, while operation, staff and upgrades need sustained budgets.

Allocation

Peer review and priority

Merit-based allocation is common, but it can favour established groups with experience writing proposals.

Capacity

Skills and support

Access without training, software and support produces little benefit.

11Methods and limits

How access is studied.

  1. 01

    Usage and allocation analysis

    Studying who uses facilities and for what. Limits: data is held by operators and not always shared.

  2. 02

    Cost modelling

    Estimating full lifetime costs with optimization and operations research. Limits: depends on future energy and staff costs.

  3. 03

    Comparative governance review

    Comparing access policies across facilities and countries. Limits: contexts differ widely.

  4. 04

    Readiness mapping

    Describing what capacity and skills a research community has and needs, the basis of compute readiness maps. Limits: self-reported data can be uneven.

12Methods

How it is studied, and what the methods cannot say.

  1. High-performance, cloud and edge computingWorkload characterisation · Porting codes to new architectures · Hybrid cloud and HPC workflowsApplied here
  2. Data engineering, interoperability and stewardshipFAIR data assessment · Interoperable catalogues · Data quality pipelinesApplied here
  3. Optimization and operations researchJob scheduling policies · Carbon-aware workload shifting · Capacity planningApplied here
13Questions

Questions and answers.

What is a research infrastructure?
A facility, resource or service used by researchers to conduct research, such as a supercomputer, data repository, telescope or laboratory, often shared across institutions.
How is access to supercomputers decided?
Usually by competitive calls with peer review of scientific merit and technical feasibility, sometimes with preparatory or fast-track access modes.
What is federated identity?
Arrangements that let researchers use their home institution's login to access services at other institutions.
Can I apply for facility access through the platform?
No. Access is granted by facility operators under their own rules. The platform studies access policies.
Why does operating cost matter so much?
Because over a facility's life, energy, staff and upgrades can cost as much as construction or more. Underfunded operation leaves capacity idle.
Does open access mean free access?
Not necessarily. Open access usually means access on merit regardless of affiliation; costs may still be charged or covered by funders.
Data and Compute

Bring your expertise to this field.

The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.