User Type Taxonomy

From Earth Science Information Partners (ESIP)

The GEO User Interface Committee has creating a user type taxonomy that is broad and flexible enough to help classify *who* GEOSS is going to serve. The Carbon Community of Practice has taken the classification (below) and applied it to their users. Is this something that the AQ CoP might be willing to try as a way of testing the draft taxonomy? The user classifications do not have to be complete but should represent your *best guess* as to actual and potential user types. The draft framework:

User Type Taxonomy[edit | edit source]

User Family (EO Skill/Capacity Level)[edit | edit source]

  1. Academic/Research
  2. Application/Practitioner/Advisor
  3. Senior Decisionmaker/Politician
  4. General Public

User Class (Data sophistication level)[edit | edit source]

  1. Raw data
  2. Elementary value addition
  3. Product
  4. DSS

User Order (Spatial resolution level)[edit | edit source]

  1. High
  2. Medium
  3. Coarse
  4. Point/in situ

User Group (Urgency level)[edit | edit source]

  1. Real time
  2. Near real time
  3. Delayed
  4. none

User Series (Temporal level)[edit | edit source]

  1. Frequently
  2. Regularly
  3. Occasionally
  4. Once off

Carbon CoP data user examples:[edit | edit source]

Roger Dargaville: Here is a go at classifying various users of carbon data - it's fairly heavily weighted towards Family 1, because that's the group I am in and am familiar with. I think the classification system works quite well to define the different user types.

Research scientists involved in data collection themselves[edit | edit source]

  • Data in = raw data from other sources for comparison
  • Data out = raw observations
  • Taxonomy: Family: 1, Class: 1, Order: 1, Group: 3, Series: 2

In situ data processors (i.e. ERSL,ORNL, WMO)[edit | edit source]

  • Data in = raw observations
  • Data out = cross checked,calibrated, and integrated data sets
  • Taxonomy: Family 1, Class: 1-3, Order: 1, Group: 2-3, Series: 1

Remote sensing data processors (i.e.JAXA, NASA, ESA)[edit | edit source]

  • Data in = satellite retrievals
  • Data out = 2D/3D concentration & surface property maps
  • Taxonomy: Family:1, Class: 1, Order: 1, Group: 1, Series: 1

Research scientists doing dataanalysis/inversion modelling[edit | edit source]

  • Data in: data sets from data centres and remote sensors
  • Data out: Estimates of surface sources and sinks of CO2
  • Taxonomy: Family: 1, Class: 3, Order: 1, Group: 3, Series: 2

Research scientists doing process modelling (i.e. ocean, terrestrial ecosystems)[edit | edit source]

  • Data in: Data from data centres, includes CO2, surface characteristics, climate data
  • Data out: Surface CO2 flux fields
  • Taxonomy: Family: 1, Class: 3, Order: 1, Group: 3, Series: 2

Data assimilation in real time (i.e.GEMS @ ECMWF)[edit | edit source]

  • Data in: real time satellite retrivals for CO2 from i.e. AIRS
  • Data out: real time assimilated 4D CO2 fields, possibly surface fluxes
  • Taxonomy: Family: 1, Class: 3, Order: 1, Group: 1, Series: 1

Researchers doing coupled climate carbon cycle studies[edit | edit source]

  • Data in: surface characteristics, climate data
  • Data out: CO2 flux estimates
  • Taxonomy: Family: 1, Class: 3, Order: 2, Group: 3, Series: 3

IPCC lead authors[edit | edit source]

  • Data in: data sets of CO2 from data centres, surface flux estimates from above studies
  • Data out: Assessment reports, SPMs
  • Taxonomy: Family: 1, Class: 4, Order: 3, Group: 3, Series: 3

Policy makers interested in the impacts of carbon cycle modelling studies[edit | edit source]

  • Data in: SPM from IPCC
  • Data out: n.a.
  • Taxonomy: Family 3, Class: 4, Order: 3, Group: 3, Series, 3

General public interested in the change in atmospheric composition[edit | edit source]

  • Data in: Raw data from research labs, data sets from data centres, surface flux estimates, SPMs
  • Data out: God knows.
  • Taxonomy: Family: 4, Class: 3, Order: 4, Group: 3, Series: 4