Form 731 EOSDIS Questionnaire

American Customer Satisfaction Index "Customer Satisfaction Surveys"

2014 674 EOSDIS Questionnaire

NASA EOSDIS Questionnaire

OMB: 1090-0007

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NASA Earth Observing System

Data and Information System

2014 Customer Satisfaction Questionnaire



Category headers will not appear

[DCA] DAAC name


Introduction

NASA would like to hear from its customers about the services we provide you at our Earth Observing System Data and Information System (EOSDIS) distributed active archive centers (DAACs).


The survey should take no longer than 15 to 20 minutes to complete.


All submitted information is collected and processed by CFI Group, an independent research and consulting firm. When you finish the survey, your responses will be sent directly to a database located on CFI Group's server, which cannot be accessed through any NASA online system.


Your answers are voluntary, but your opinions are very important. Your responses will remain anonymous and will only be reported in aggregate. This survey is authorized by Office of Management and Budget Control No. 1090-0007, which expires on March 31, 2015.


Questions or problems with the survey? Email [email protected].


QDAAC1. Our records indicate that you are a customer of [DAAC].  


Please select the DAAC which you wish to evaluate with this survey, whether it is the DAAC indicated above or another one. (Select one.)

  1. ASDC-LaRC

  2. ASF SAR DAAC

  3. CDDIS

  4. GES DISC

  5. GHRC

  6. LP DAAC

  7. MODAPS LAADS

  8. NSIDC DAAC

  9. OBPG/Ocean Color

  10. ORNL DAAC/FLUXNET

  11. PO DAAC-JPL

  12. SEDAC


Note: If you frequently use multiple DAACs you will be given the opportunity to evaluate additional DAACs at the end of this survey.








Background


Q1. Where are you currently located? (drop down list) (NOTE - USING ISO 3166 LIST OF COUNTRY NAMES)


  1. UNITED STATES

  2. AFGHANISTAN

  3. ÅLAND ISLANDS

  4. ALBANIA

  5. ALGERIA

  6. AMERICAN SAMOA

  7. ANDORRA

  8. ANGOLA

  9. ANGUILLA

  10. ANTARCTICA

  11. ANTIGUA AND BARBUDA

  12. ARGENTINA

  13. ARMENIA

  14. ARUBA

  15. AUSTRALIA

  16. AUSTRIA

  17. AZERBAIJAN

  18. BAHAMAS

  19. BAHRAIN

  20. BANGLADESH

  21. BARBADOS

  22. BELARUS

  23. BELGIUM

  24. BELIZE

  25. BENIN

  26. BERMUDA

  27. BHUTAN

  28. BOLIVIA, PLURINATIONAL STATE OF

  29. BONAIRE, SINT EUSTATIUS AND SABA

  30. BOSNIA AND HERZEGOVINA

  31. BOTSWANA

  32. BOUVET ISLAND

  33. BRAZIL

  34. BRITISH INDIAN OCEAN TERRITORY

  35. BRUNEI DARUSSALAM

  36. BULGARIA

  37. BURKINA FASO

  38. BURUNDI

  39. CAMBODIA

  40. CAMEROON

  41. CANADA

  42. CAPE VERDE

  43. CAYMAN ISLANDS

  44. CENTRAL AFRICAN REPUBLIC

  45. CHAD

  46. CHILE

  47. CHINA

  48. CHRISTMAS ISLAND

  49. COCOS (KEELING) ISLANDS

  50. COLOMBIA

  51. COMOROS

  52. CONGO

  53. CONGO, THE DEMOCRATIC REPUBLIC OF THE

  54. COOK ISLANDS

  55. COSTA RICA

  56. CÔTE D'IVOIRE

  57. CROATIA

  58. CUBA

  59. CURAÇAO

  60. CYPRUS

  61. CZECH REPUBLIC

  62. DENMARK

  63. DJIBOUTI

  64. DOMINICA

  65. DOMINICAN REPUBLIC

  66. ECUADOR

  67. EGYPT

  68. EL SALVADOR

  69. EQUATORIAL GUINEA

  70. ERITREA

  71. ESTONIA

  72. ETHIOPIA

  73. FALKLAND ISLANDS (MALVINAS)

  74. FAROE ISLANDS

  75. FIJI

  76. FINLAND

  77. FRANCE

  78. FRENCH GUIANA

  79. FRENCH POLYNESIA

  80. FRENCH SOUTHERN TERRITORIES

  81. GABON

  82. GAMBIA

  83. GEORGIA

  84. GERMANY

  85. GHANA

  86. GIBRALTAR

  87. GREECE

  88. GREENLAND

  89. GRENADA

  90. GUADELOUPE

  91. GUAM

  92. GUATEMALA

  93. GUERNSEY

  94. GUINEA

  95. GUINEA-BISSAU

  96. GUYANA

  97. HAITI

  98. HEARD ISLAND AND MCDONALD ISLANDS

  99. HOLY SEE (VATICAN CITY STATE)

  100. HONDURAS

  101. HONG KONG

  102. HUNGARY

  103. ICELAND

  104. INDIA

  105. INDONESIA

  106. IRAN, ISLAMIC REPUBLIC OF

  107. IRAQ

  108. IRELAND

  109. ISLE OF MAN

  110. ISRAEL

  111. ITALY

  112. JAMAICA

  113. JAPAN

  114. JERSEY

  115. JORDAN

  116. KAZAKHSTAN

  117. KENYA

  118. KIRIBATI

  119. KOREA, DEMOCRATIC PEOPLE'S REPUBLIC OF

  120. KOREA, REPUBLIC OF

  121. KUWAIT

  122. KYRGYZSTAN

  123. LAO PEOPLE'S DEMOCRATIC REPUBLIC

  124. LATVIA

  125. LEBANON

  126. LESOTHO

  127. LIBERIA

  128. LIBYA

  129. LIECHTENSTEIN

  130. LITHUANIA

  131. LUXEMBOURG

  132. MACAO

  133. MACEDONIA, THE FORMER YUGOSLAV REPUBLIC OF

  134. MADAGASCAR

  135. MALAWI

  136. MALAYSIA

  137. MALDIVES

  138. MALI

  139. MALTA

  140. MARSHALL ISLANDS

  141. MARTINIQUE

  142. MAURITANIA

  143. MAURITIUS

  144. MAYOTTE

  145. MEXICO

  146. MICRONESIA, FEDERATED STATES OF

  147. MOLDOVA, REPUBLIC OF

  148. MONACO

  149. MONGOLIA

  150. MONTENEGRO

  151. MONTSERRAT

  152. MOROCCO

  153. MOZAMBIQUE

  154. MYANMAR

  155. NAMIBIA

  156. NAURU

  157. NEPAL

  158. NETHERLANDS

  159. NEW CALEDONIA

  160. NEW ZEALAND

  161. NICARAGUA

  162. NIGER

  163. NIGERIA

  164. NIUE

  165. NORFOLK ISLAND

  166. NORTHERN MARIANA ISLANDS

  167. NORWAY

  168. OMAN

  169. PAKISTAN

  170. PALAU

  171. PALESTINIAN TERRITORY, OCCUPIED

  172. PANAMA

  173. PAPUA NEW GUINEA

  174. PARAGUAY

  175. PERU

  176. PHILIPPINES

  177. PITCAIRN

  178. POLAND

  179. PORTUGAL

  180. PUERTO RICO

  181. QATAR

  182. RÉUNION

  183. ROMANIA

  184. RUSSIAN FEDERATION

  185. RWANDA

  186. SAINT BARTHÉLEMY

  187. SAINT HELENA, ASCENSION AND TRISTAN DA CUNHA

  188. SAINT KITTS AND NEVIS

  189. SAINT LUCIA

  190. SAINT MARTIN (FRENCH PART)

  191. SAINT PIERRE AND MIQUELON

  192. SAINT VINCENT AND THE GRENADINES

  193. SAMOA

  194. SAN MARINO

  195. SAO TOME AND PRINCIPE

  196. SAUDI ARABIA

  197. SENEGAL

  198. SERBIA

  199. SEYCHELLES

  200. SIERRA LEONE

  201. SINGAPORE

  202. SINT MAARTEN (DUTCH PART)

  203. SLOVAKIA

  204. SLOVENIA

  205. SOLOMON ISLANDS

  206. SOMALIA

  207. SOUTH AFRICA

  208. SOUTH GEORGIA AND THE SOUTH SANDWICH ISLANDS

  209. SOUTH SUDAN

  210. SPAIN

  211. SRI LANKA

  212. SUDAN

  213. SURINAME

  214. SVALBARD AND JAN MAYEN

  215. SWAZILAND

  216. SWEDEN

  217. SWITZERLAND

  218. SYRIAN ARAB REPUBLIC

  219. TAIWAN

  220. TAJIKISTAN

  221. TANZANIA, UNITED REPUBLIC OF

  222. THAILAND

  223. TIMOR-LESTE

  224. TOGO

  225. TOKELAU

  226. TONGA

  227. TRINIDAD AND TOBAGO

  228. TUNISIA

  229. TURKEY

  230. TURKMENISTAN

  231. TURKS AND CAICOS ISLANDS

  232. TUVALU

  233. UGANDA

  234. UKRAINE

  235. UNITED ARAB EMIRATES

  236. UNITED KINGDOM

  237. UNITED STATES MINOR OUTLYING ISLANDS

  238. URUGUAY

  239. UZBEKISTAN

  240. VANUATU

  241. VENEZUELA, BOLIVARIAN REPUBLIC OF

  242. VIET NAM

  243. VIRGIN ISLANDS, BRITISH

  244. VIRGIN ISLANDS, U.S.

  245. WALLIS AND FUTUNA

  246. WESTERN SAHARA

  247. YEMEN

  248. ZAMBIA

  249. ZIMBABWE


Q2 . What type of user are you? Please let us know which types best describe you. (Select all of the categories below that apply.)

  1. General Public

  2. Elementary, Middle, High School Teachers

  3. University Professor/Student

  4. Other Education & Outreach

  5. Data Scientist

  6. Earth Science Researcher

  7. Earth Science Modelers

  8. Data Tool Developer/Provider

  9. Decision Support Systems Analyst

  10. Other (Please specify)


Q3. For which general areas/disciplines do you need or use Earth science data and services? (Select all that apply.)

  1. Atmosphere

  2. Biosphere

  3. Calibrated radiance

  4. Cryosphere

  5. Human dimensions

  6. Land

  7. Near-real-time applications

  8. Ocean

  9. Space geodesy

  10. Other (please specify)


Q4. Have you done any of the following <from DAAC>: searched, requested, ordered, visualized, and/or downloaded data or services?

  1. Yes

  2. No (SKIP TO Q27)

Search

Q5. How did you search for the data products or services you were seeking?

    1. Specialized-search portals or online holdings specific to a DAAC (IF SELECTED ASK Q5.1)

    2. Direct interaction with user services personnel

    3. Global Change Master Directory (GCMD)

    4. Internet search tool (e.g., Google Earth, Google)

    5. Land Atmosphere Near Real-Time Capability for EOS (LANCE)

    6. Reverb

    7. Other (please specify)

    8. Did not search (SKIP TO Q9)


Q5.1 Please select any specialized-search portals or online holdings specific to a DAAC that you used. (Select all that apply.)

  1. Arctic MEaSUREs

  2. ASF MapServer

  3. Earth Explorer

  4. GDEx

  5. Giovanni

  6. GloVis

  7. HITIDE

  8. HyDRO

  9. IceBridge Data Portal

  10. LAADS

  11. Live Access Server (LAS)

  12. LP DAAC Data Pool

  13. Mercury (Advanced Product Search)

  14. Mirador

  15. MISR Order Tool

  16. MIST

  17. MRT Web

  18. MODIS Land Products Subsets

  19. NOESIS

  20. NSIDC Data Search

  21. Ocean Color Web Portal

  22. OPeNDAP

  23. PO.DAAC Dataset Discovery

  24. Spatial Data Access Tool (SDAT)

  25. Terrestrial Ecology

  26. THREDDS

  27. URSA

  28. Vertex

  29. WebGIS

  30. Wetlands MEaSUREs

  31. Other (please specify)


Q6. Please comment on your experience with the search method you used. Please include whether you found the search site content organized logically and if there are other search methods that were not available that you would prefer.


Using a 10-point scale, on which “1” means “Poor” and “10” means “Excellent,” please rate …


Q7. Ease of using search tool/capability

Q8. How well the search results met your needs

Order

Q9. Did you get data products <from DAAC> in the last year?

1. Yes. Please comment on other data services, if any, that you would find useful. (e.g., subscription service, saved user preferences, on-demand subsetting …)

2. No (SKIP TO Q27)


Using a 10-point scale, on which “1” means “Poor” and “10” means “Excellent,” please rate…

Q10. Ease of selecting data products

Q11. Ease of requesting/ordering data products


Delivery

Q12. Did you download data or receive data <from DAAC>?

  1. Yes

  2. No (SKIP TO Q27)


Q13. Which method of data delivery do you prefer? (Select all that apply)

  1. Web download (http)

  2. Web bulk download (http)

  3. FTP immediate retrieval from online holdings

  4. FTP retrieved after order

  5. FTP via subscription

  6. Web-based visualization tool

  7. OPeNDAP

  8. OGC Web services (WMS, WCS, WFS, etc)

  9. Other (please specify)


Using a 10-point scale, on which "1" means "Poor" and "10" means "Excellent," please rate the following...


Q14. Convenience of delivery method

Q15. Timeliness of delivery method

Format


Q16. Please indicate your preferred format(s). (Select all that apply.)


  1. ASCII

  2. Binary

  3. CEOS format (SIR-C/SAR data)

  4. GeoTIFF

  5. HDF4

  6. HDF-EOS profile of HDF4

  7. HDF5

  8. HDF-EOS profile of HDF5

  9. JPEG, GIF, PNG, TIFF

  10. KMZ/KML

  11. NetCDF classic

  12. NetCDF4

  13. Other GIS (GRID, BIL, e00, etc.)

  14. SHP

  15. Other (Please specify)


Q17. If you ordered data, did you have it reformatted before delivery?

  1. Yes

  2. No


Still using the 10-point scale on which “1” means “Poor” and “10” means “Excellent,” how would you rate…


Q18. Ease of using the data product in the delivered format(s)


Usage


Q19. What operating system(s) do you use for data analysis? (Select all that apply.)

  1. Windows

  2. Mac OS

  3. Linux

  4. UNIX

  5. Other (please specify)


Q20. Thinking about your most recent experience…

Did you use software tool(s) or packages to work with the data (e.g., format conversion, analysis, visualization, etc.)?

  1. Yes, I used software tools or packages to work with data (ASK Q21 THEN GO TO Q23)

  2. Yes, I made my own using a programming language (SKIP TO Q22)

  3. No, I couldn’t find what I needed (SKIP TO Q22)

  4. No, I couldn’t understand how to use it (SKIP TO Q22)

  5. No, I did not need software tools (SKIP TO Q22)



Q21. Please specify which tool or tools you used to work with the data (Select all that apply.)

  1. ArcGIS

  2. Convert to Vector

  3. ENVI

  4. ERDAS/IMAGINE

  5. Excel

  6. Ferret

  7. Geomatica®

  8. Global Mapper

  9. GrADS

  10. GRASS

  11. HDFLook

  12. HDFView

  13. HEG

  14. IDL

  15. IDV

  16. IDRISI

  17. MapReady

  18. MATLAB

  19. MODIS Reprojection Tool (MRT)

  20. NCL

  21. Panoply

  22. Quantum GIS (QGIS)

  23. R

  24. SeaDAS

  25. Other/open source (please specify)


Q22. Which programming language do you prefer to use with your EOSDIS data?

  1. C

  2. C++

  3. C#

  4. Fortran 77

  5. Fortran 90

  6. Java

  7. Perl

  8. PHP

  9. Python

  10. Others (please specify)


Q23. Are you currently using a DAAC application programming interface (API)

  1. Yes (SKIP TO Q25)

  2. NO


Q24. Would you be interested in gaining access to web services through Application Programming Interfaces (APIs)?

  1.  Yes

  2. No (SKIP to Q27)


Q25. Which of the following web services would you be interested in using?

1. OGC [e.g., WMS, WCS, WFS, GeoServer, MapServer]

2. OPeNDAP [e.g., THREDDS, Hyrax]

3. REST based web calls [DAAC created; DAAC specific]

4. SOAP based web calls [DAAC created; DAAC specific]

5. Remote Procedure Call (RPC)

6. Other  (please specify)


Q26. What would be your preferred method for utilizing web services?

1. Scripts

2. Own client

3. Command line [hand executed]

4. Commercial software application [e.g., ENVI/ArcGIS]

5. Access from a programming language [e.g., Java, MATLAB, R]

6. Other (please specify)

Documentation


Q27. Did you look for or get documentation related to the data?

  1. Yes

  2. No (SKIP TO Q33)


Q28. What type of documentation were you seeking? (Select all that apply.)

  1. Data formats

  2. Data provenance

  3. Dataset metadata

  4. Examples of how data has been used

  5. How to use data analysis tools

  6. How to use data search tools

  7. How to use visualization tools

  8. Instrument specifications

  9. Quality assurance/error sources

  10. Science algorithm description

  11. Other


Q29. How did you access the documentation? (Select all that apply.)

  1. Data center website

  2. FAQ (Frequently Asked Questions)

  3. Instructional Tutorials

  4. Production code

  5. Readme file

  6. Search & order interface (Reverb, etc.)

  7. Search engine (e.g., Google)

  8. Not found (SKIP TO Q33)


Still using the 10-point scale on which “1” means “Poor” and “10” means “Excellent,” how would you rate…


Q30. Overall quality of the document (e.g., technical level, organization, clarity)

Q31. Extent to which the data documentation helped you use the data


Q32. If you did not find the particular documentation you wanted, what type of documentation were you seeking? (please specify)


Customer Service

Q33. During the past year have you contacted the <DAAC name>’s user services office or interacted with DAAC personnel at a conference or event?

  1. Yes

  2. No (SKIP TO Q40)


Q34. How did you contact the <DAAC name>’s user services office? (Select all that apply)

  1. By phone

  2. By email

  3. Website feedback/contact form

  4. In person at an event or conference


Q35. What was the reason for your contact?

  1. Couldn’t find what I was looking for

  2. Data quality

  3. Did not receive expected data

  4. Documentation needed

  5. Error messages

  6. How to access data

  7. Incomplete information

  8. Science questions

  9. Service interruptions

  10. Technical questions

  11. Updates

  12. Other (please specify)


Think about the user services staff you interacted with when you contacted the <DAAC name> user services. On the same scale from 1 to 10 where 1 means “Poor” and 10 means “Excellent,” how would you rate the user services staff on…


Q36. Professionalism

Q37. Technical knowledge

Q38. Helpfulness in correcting a problem

Q39. Timeliness of response


ACSI

Q40. Using a 10-point scale on which 1 means “Very Dissatisfied” and 10 means “Very Satisfied,” how satisfied are you with the data products and services provided by <DAAC name>?


Q41. Using a 10-point scale on which 1 now means “Falls short of your expectations” and 10 means “Exceeds your expectations,” to what extent have the data products and services provided by <DAAC name> fallen short of or exceeded your expectations?


Q42. Now, imagine an ideal provider of scientific data products and services. How close does <DAAC name> come to that ideal organization you just imagined? Please use a 10-point scale on which 1 means “Not at all close to the ideal,” and 10 means “Very close to the ideal.”


Closing


Q43. Using a 10-point scale on which “1” means “Not at all likely” and “10” means “Very likely,” how likely are you to recommend <DAAC name> to a colleague?


Q44. Using a 10-point scale, on which “1” means “Not at all likely” and “10” means “Very likely,” how likely are you to use the services provided by <DAAC name> in the future?


Q45. Do you have any additional comments or suggestions about possible improvements to data, data products, data search, data ordering, data delivery, data formats, services, tools, documentation, or the websites that you would like to share? Are you finding what you need on our websites? (please comment)



You have reached the end of the survey. Please click on the "Finish" button below to send your responses to CFI Group's secure database. You will also receive a prompt to respond for another DAAC.


Your survey responses have been received.

NASA appreciates your input and will use this feedback to better serve its customers.



If you would like to respond to this survey for another DAAC, please click here or save the URL below to respond at another time.



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