OCEAN OBSERVATION STUDY: LONG SURVEY EXAMPLE
The following is a “most complex” experience of the survey, meaning it would be the longest survey a respondent could possibly see as a result of the choices he or she would make, and the advanced logic response by the system.
In this example, a hypothetical respondent has chosen:
“A subsidiary of a multinational company” in Question #2,
“Provider,” “Intermediary,” and “End-User” in Question #3,
Is able to report a revenue split among “Provider,” “Intermediary,” and “End-User” is Question #14, Part B.
Reports positive foreign sales in Question #15.
Reports that they are an IOOS “Provider,” “Intermediary,” and “End-User” in Question #22.
In addition to these hypothetical choices’ impact on the questions presented, Question #2 also impacts the language of the question, and uses “subsidiary” throughout the survey. This will be an important contribution to clarifying questions for respondents, since the survey universe includes a number of highly complex and multinational companies.
******START OF SURVEY QUESTIONS
What is the name and location of the business entity that you represent?
Name:____________
City:_______________
State / Country (if outside U.S.):________________
Your position:___________________
What organization type best describes your business entity?
A one-employee business
A multi-employee business with one location
A multi-location, U.S.-only business without divisions or subsidiaries
A division of a larger U.S.-only company
A subsidiary of a larger U.S.-only company
A headquarters home office or satellite location of a U.S.-only company with separate divisions and/or subsidiaries
A multi-location, multinational business without divisions or subsidiaries
A division of a larger multinational company
A subsidiary of a larger multinational company
A headquarters home office or satellite location of a multinational company with separate divisions and/or subsidiaries
What is the name and location of your business’ headquarters?_____________
Please select the answer choice(s) below that describe your subsidiary (select all that apply):
We are a provider of physical or data infrastructure for ocean, coastal, or Great Lakes measurement, observation, or forecasting purposes (e.g., platforms, instruments, sensors, data communications, IT infrastructure, satellite or air-based marine or maritime observation systems, instruments for navigation and positioning, etc.)
We are an intermediary that uses ocean, coastal, or Great Lakes measurements, observations or forecasts to create a value-added data product/service offered for commercial sale (e.g., to power a weather or surf forecast service, evaluate marine or maritime environmental hazards, support fish locating, etc.)
We are an end-user that uses ocean, coastal, or Great Lakes measurements, observations or forecasts, but we do not use them to create a value-added data product/service for commercial sale (e.g., a fishing fleet operator, a charter boat service, etc.)
We do not provide ocean, coastal, or Great Lakes measurement, observation, or forecasting infrastructure, and we do not use ocean, coastal, or Great Lakes measurements, observations or forecasts in our business
How long has your subsidiary offered ocean, coastal, or Great Lakes measurement, observation or forecast infrastructure (i.e., provider), value-added data (i.e., intermediary), or final (i.e., end-use) products/services?
Less than 1 year
1 through 3 years
3 through 5 years
More than 5 years
Unknown
A. How many discrete locations does your subsidiary have? (Note: multiple buildings on a single campus counts as one location.)
1
2
3
4
5
6-9
10 or more
B. How many discrete locations does your ultimate parent or holding company have? (Notes: Please include all division and subsidiary locations; multiple buildings on a single campus counts as one location.)
1
2
3
4
5
6-9
10 or more
How many of your subsidiary’s discrete locations are in the U.S.?
1
2
3
4
5
6-9
10 or more
1-4
5-10
11-20
21-30
31-50
51-100
101-250
251-500
501-1000
1001-2000
More than 2000
Unknown
How many employees in your subsidiary are located within the U.S.?
1-4
5-10
11-20
21-30
31-50
51-100
101-250
251-500
501-1000
1000-2000
More than 2000
Unknown
In the next 12 months, do you anticipate employment at your subsidiary?...
Increasing
Staying the same
Decreasing
Not yet known
A. What were your subsidiary’s gross revenues for the past year?
$1-$200,000
$200,001-$500,000
$500,001-$1,000,000
$1,000,001-$5,000,000
$5,000,001-$20,000,000
$20,000,001-$100,000,000
$100,000,001-$500,000,000
$500,000,001 or more
Unknown
B. What percentage of this revenue is grossed by your U.S. locations (if known)?_____
A. What were your ultimate parent or holding company’s gross revenues for the past year?
$1-$200,000
$201,000-$500,000
$501,000-$1,000,000
$1,000,001-$5,000,000
$5,000,001-$20,000,000
$20,000,001-$100,000,000
$100,000,001-$500,000,000
$500,000,001 or more
Unknown
B. What percentage of this revenue is grossed by the U.S. locations of your parent or holding company (if known)?___________________
In the next 12 months, do you anticipate your subsidiary’s total ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related revenue:
Increasing
Staying the same
Decreasing
Not yet known
What share of your subsidiary’s revenue is from marine- or maritime-related products/services?
______%
A. What is the estimated share of your subsidiary’s marine- or maritime-related revenue that is from providing ocean, coastal, or Great Lakes observation, measurement or forecasting products/services?
_______%
B. What is your best estimate of how this revenue splits among your subsidiary’s provider, intermediary, and end-use products/services?
Provider: _____%
Intermediary: _____%
End-User: _____%
This split cannot be estimated:
What is your best estimate of how your subsidiary’s total ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related revenue is split among customer types?
Private individuals or households in the U.S: _____%
Private companies, research institutions, universities, etc. in the U.S.: _____%
U.S. Federal Government: _____%
State and local governments in the U.S.: _____%
Foreign customers of any type: _____%
A. What is your best estimate of how your subsidiary’s total ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related provider products/services revenue is split among customer types?
Private individuals or households in the U.S: _____%
Private companies, research institutions, universities, etc. in the U.S.: _____%
U.S. Federal Government: _____%
State and local governments in the U.S.: _____%
Foreign customers of any type: _____%
B. What is your best estimate of how your subsidiary’s total ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related intermediary products/services revenue is split among customer types?
Private individuals or households in the U.S: _____%
Private companies, research institutions, universities, etc. in the U.S.: _____%
U.S. Federal Government: _____%
State and local governments in the U.S.: _____%
Foreign customers of any type: _____%
C. What is your best estimate of how your subsidiary’s total ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related end-user products/services revenue is split among customer types?
Private individuals or households in the U.S: _____%
Private companies, research institutions, universities, etc. in the U.S.: _____%
U.S. Federal Government: _____%
State and local governments in the U.S.: _____%
Foreign customers of any type: _____%
From which of these markets does your subsidiary’s U.S. locations receive significant (i.e., at least 5%) shares of ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related revenue? (Select all that apply):
U.S. and its overseas territories
Canada
Greenland
Mexico/Central America
Non-U.S. Caribbean
South America
Continental Europe
UK/Ireland
East Europe/Russia
Other European/Mediterranean
Japan
South Korea
China/Hong Kong
Taiwan
India
Southeast Asia
Australia/New Zealand
Middle East
Other Non-U.S. Asia/Pacific
Africa
Other Indian Ocean Nations
Which of the following are important customer areas for your subsidiary’s ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related revenues? (select all that apply):
Academic research
Government research
Defense
Marine or maritime security
Coastal protection
Hydrographic surveys
Construction surveys
Engineering
Environmental monitoring
Water and water quality
Weather and ocean forecasting
Climate modeling and prediction
Biotechnology
Wind energy
Wave and tidal energy
Renewable energy, except wind and wave energy
Oil and gas industries
Fishing industry
Aquaculture
Ports and harbors
Cargo shipping
Cruise ships and passenger ships
Other:
What kind of ocean, coastal, or Great Lakes observation-, measurement- or forecasting-related infrastructure does your subsidiary sell? (select all that apply):
Hydrographic survey sensors/instruments/systems
Shallow geophysical survey sensors/instruments/systems
Geotechnical sensors/instruments/systems for measurement/sampling
Physical oceanographic sensors/instruments/systems (including cameras)
Chemical oceanographic sensors/instruments/systems
Biological oceanographic sensors/instruments/systems
Navigation and positioning sensors/instruments/systems
Platforms such as towed systems, or remote or autonomous underwater vehicles
Data communications and Information Technology infrastructure or software platforms/systems
Other
If your subsidiary utilizes “IN SITU” data (i.e., data from observations or measurements conducted within or upon a marine environment) from coastal, or Great Lakes observation, measurement, or forecasting to generate value-added data in your products/services, what kind of IN SITU data do you use? (select all that apply):
Bathymetric data
Geophysical data
Geotechnical data
Physical oceanographic data
Chemical oceanographic data
Biological oceanographic data
Other
We do not utilize IN SITU data
If your subsidiary utilizes “REMOTELY SENSED” data (i.e., data from sources outside a marine environment) from ocean, coastal, or Great Lakes observation, measurement, or forecasting to generate your value-added data products/services, what kind of REMOTELY SENSED data do you use? (select all that apply):
Aircraft observations
Satellite observations
Shore observations
Other
We do not utilize REMOTELY SENSED data
Is your subsidiary aware of the Integrated Ocean Observing System (IOOS) and, if so, does your subsidiary contribute to IOOS infrastructure or utilize IOOS-coordinated data, including to create value-added products/services? (Select all that apply):
We are unaware of IOOS
We are aware of IOOS
We are an IOOS provider; we contribute to IOOS infrastructure
We are an IOOS intermediary; we create value-added products/services from IOOS-coordinated data
We are an IOOS end-user; we use IOOS-coordinated data
Which of the following do you consider issues or barriers to working with IOOS that impact your subsidiary? (select all that apply):
Limited access to IOOS data streams
Structure of IOOS data streams limits usability
Lack of documentation on IOOS data streams
IOOS data does not adequately cover the geography needed
Difficulties or limitations with adapting new technology into IOOS
Limited knowledge about future investment and development plans for the IOOS system
Hard to find employees who can work with the IOOS infrastructure
Hard to find employees who can work with the IOOS data
State or local regulations or restrictions
Other:
None of the above
Unknown
In the future, does your subsidiary plan to (select all that apply):
IOOS Infrastructure plans
Deploy new infrastructure products/services for IOOS
Expand the capabilities of our infrastructure products/services for IOOS
Make no changes to our infrastructure products/services for IOOS
Reduce our infrastructure products/services for IOOS
Eliminate our infrastructure products/services for IOOS
IOOS Intermediary plans
Create new value-added products/services that utilize IOOS-coordinated data
Expand the capabilities of our value-added products/services that utilize IOOS-coordinated data
Make no changes to our value-added products/services that utilize IOOS-coordinated data
Reduce our value-added products/services that utilize IOOS-coordinated data
Eliminate our value-added products/services that utilize IOOS-coordinated data
IOOS End-User plans
Develop new end-use IOOS-coordinated data products/services
Expand the capabilities of our end-use IOOS-coordinated data products/services
Make no changes to our end-use IOOS-coordinated data products/services
Reduce our end-use IOOS-coordinated data products/services
Eliminate our end-use IOOS-coordinated data products/services
Which of the following improvements by IOOS would help your subsidiary? (select all that apply):
Better information and data stream standardization
More openness to opportunities for new innovations
Greater focus on the interests of small or new enterprises
Greater focus on the interests of large or established enterprises
Other: (please describe)
None of the above
Do you feel your subsidiary’s current or future workforce could benefit from specific training for working with IOOS data or providing IOOS infrastructure?
Yes, option open-ended
No
Uncertain
Are there changes to IOOS that would make it easier for your subsidiary to provide infrastructure or related services or products to the IOOS system?
Yes, option open-ended
No
Uncertain
Are there changes to IOOS that would make it easier to for your subsidiary to utilize IOOS data in value-added products?
Yes, option open-ended
No
Uncertain
If known or available, what is your subsidiary’s D-U-N-S number?_______
Can you recommend other recipients for this survey? These could be other parts (such as other subsidiaries, divisions, or a headquarters) of your company, or could be other qualified companies.
Yes
No
If yes, please list below (name of company and contact if available):
Are there any additional comments, concerns, or recommendations that you would wish IOOS to know? ____________________________
File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
Author | justin heet |
File Modified | 0000-00-00 |
File Created | 2021-01-15 |