517 NASA EOSDIS Questionnaire Final July 23 2012

American Customer Satisfaction Index "Customer Satisfaction Surveys"

2012 517 NASA EOSDIS Questionnaire Final JULY 23

516 ACSI General Aviation Survey - 519 NWS Survey Final

OMB: 1090-0007

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NASA Earth Observing System

Data and Information System

2012 Customer Satisfaction Questionnaire



Category headers will not appear

[DCA] Data center 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) data centers.


Click here for a list of EOSDIS data centers


Although you may have accessed EOSDIS data centers other than [DCA], please complete the following survey thinking about your current experiences at [DCA].


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 responses will be held completely confidential, and you will never be identified by name. This survey is authorized by Office of Management and Budget Control No. 1090-0007.


Questions or problems with the survey? Email NASASurvey@cfigroup.com.


Background


Q1. How did you become aware that you could acquire Earth science data from NASA? (select any that apply)

  1. Colleague

  2. Global Change Master Directory (GCMD)

  3. NASA or Data Center Web Site

  4. NASA Sponsored Research/Data Provider/Affiliated Research Community

  5. Science Conference/Workshop/Meeting

  6. Scientific Literature

  7. University (Graduate School, Course work, Classroom, Professor, Lecture, etc.)

  8. Web Search

  9. Other (please specify)


Q2. Where are you currently located? (drop down list) (NOTE - USING ISO 3166 LIST OF COUNTRY NAMES)


  1. AFGHANISTAN

  2. ÅLAND ISLANDS

  3. ALBANIA

  4. ALGERIA

  5. AMERICAN SAMOA

  6. ANDORRA

  7. ANGOLA

  8. ANGUILLA

  9. ANTARCTICA

  10. ANTIGUA AND BARBUDA

  11. ARGENTINA

  12. ARMENIA

  13. ARUBA

  14. AUSTRALIA

  15. AUSTRIA

  16. AZERBAIJAN

  17. BAHAMAS

  18. BAHRAIN

  19. BANGLADESH

  20. BARBADOS

  21. BELARUS

  22. BELGIUM

  23. BELIZE

  24. BENIN

  25. BERMUDA

  26. BHUTAN

  27. BOLIVIA, PLURINATIONAL STATE OF

  28. BONAIRE, SINT EUSTATIUS AND SABA

  29. BOSNIA AND HERZEGOVINA

  30. BOTSWANA

  31. BOUVET ISLAND

  32. BRAZIL

  33. BRITISH INDIAN OCEAN TERRITORY

  34. BRUNEI DARUSSALAM

  35. BULGARIA

  36. BURKINA FASO

  37. BURUNDI

  38. CAMBODIA

  39. CAMEROON

  40. CANADA

  41. CAPE VERDE

  42. CAYMAN ISLANDS

  43. CENTRAL AFRICAN REPUBLIC

  44. CHAD

  45. CHILE

  46. CHINA

  47. CHRISTMAS ISLAND

  48. COCOS (KEELING) ISLANDS

  49. COLOMBIA

  50. COMOROS

  51. CONGO

  52. CONGO, THE DEMOCRATIC REPUBLIC OF THE

  53. COOK ISLANDS

  54. COSTA RICA

  55. CÔTE D'IVOIRE

  56. CROATIA

  57. CUBA

  58. CURAÇAO

  59. CYPRUS

  60. CZECH REPUBLIC

  61. DENMARK

  62. DJIBOUTI

  63. DOMINICA

  64. DOMINICAN REPUBLIC

  65. ECUADOR

  66. EGYPT

  67. EL SALVADOR

  68. EQUATORIAL GUINEA

  69. ERITREA

  70. ESTONIA

  71. ETHIOPIA

  72. FALKLAND ISLANDS (MALVINAS)

  73. FAROE ISLANDS

  74. FIJI

  75. FINLAND

  76. FRANCE

  77. FRENCH GUIANA

  78. FRENCH POLYNESIA

  79. FRENCH SOUTHERN TERRITORIES

  80. GABON

  81. GAMBIA

  82. GEORGIA

  83. GERMANY

  84. GHANA

  85. GIBRALTAR

  86. GREECE

  87. GREENLAND

  88. GRENADA

  89. GUADELOUPE

  90. GUAM

  91. GUATEMALA

  92. GUERNSEY

  93. GUINEA

  94. GUINEA-BISSAU

  95. GUYANA

  96. HAITI

  97. HEARD ISLAND AND MCDONALD ISLANDS

  98. HOLY SEE (VATICAN CITY STATE)

  99. HONDURAS

  100. HONG KONG

  101. HUNGARY

  102. ICELAND

  103. INDIA

  104. INDONESIA

  105. IRAN, ISLAMIC REPUBLIC OF

  106. IRAQ

  107. IRELAND

  108. ISLE OF MAN

  109. ISRAEL

  110. ITALY

  111. JAMAICA

  112. JAPAN

  113. JERSEY

  114. JORDAN

  115. KAZAKHSTAN

  116. KENYA

  117. KIRIBATI

  118. KOREA, DEMOCRATIC PEOPLE'S REPUBLIC OF

  119. KOREA, REPUBLIC OF

  120. KUWAIT

  121. KYRGYZSTAN

  122. LAO PEOPLE'S DEMOCRATIC REPUBLIC

  123. LATVIA

  124. LEBANON

  125. LESOTHO

  126. LIBERIA

  127. LIBYA

  128. LIECHTENSTEIN

  129. LITHUANIA

  130. LUXEMBOURG

  131. MACAO

  132. MACEDONIA, THE FORMER YUGOSLAV REPUBLIC OF

  133. MADAGASCAR

  134. MALAWI

  135. MALAYSIA

  136. MALDIVES

  137. MALI

  138. MALTA

  139. MARSHALL ISLANDS

  140. MARTINIQUE

  141. MAURITANIA

  142. MAURITIUS

  143. MAYOTTE

  144. MEXICO

  145. MICRONESIA, FEDERATED STATES OF

  146. MOLDOVA, REPUBLIC OF

  147. MONACO

  148. MONGOLIA

  149. MONTENEGRO

  150. MONTSERRAT

  151. MOROCCO

  152. MOZAMBIQUE

  153. MYANMAR

  154. NAMIBIA

  155. NAURU

  156. NEPAL

  157. NETHERLANDS

  158. NEW CALEDONIA

  159. NEW ZEALAND

  160. NICARAGUA

  161. NIGER

  162. NIGERIA

  163. NIUE

  164. NORFOLK ISLAND

  165. NORTHERN MARIANA ISLANDS

  166. NORWAY

  167. OMAN

  168. PAKISTAN

  169. PALAU

  170. PALESTINIAN TERRITORY, OCCUPIED

  171. PANAMA

  172. PAPUA NEW GUINEA

  173. PARAGUAY

  174. PERU

  175. PHILIPPINES

  176. PITCAIRN

  177. POLAND

  178. PORTUGAL

  179. PUERTO RICO

  180. QATAR

  181. RÉUNION

  182. ROMANIA

  183. RUSSIAN FEDERATION

  184. RWANDA

  185. SAINT BARTHÉLEMY

  186. SAINT HELENA, ASCENSION AND TRISTAN DA CUNHA

  187. SAINT KITTS AND NEVIS

  188. SAINT LUCIA

  189. SAINT MARTIN (FRENCH PART)

  190. SAINT PIERRE AND MIQUELON

  191. SAINT VINCENT AND THE GRENADINES

  192. SAMOA

  193. SAN MARINO

  194. SAO TOME AND PRINCIPE

  195. SAUDI ARABIA

  196. SENEGAL

  197. SERBIA

  198. SEYCHELLES

  199. SIERRA LEONE

  200. SINGAPORE

  201. SINT MAARTEN (DUTCH PART)

  202. SLOVAKIA

  203. SLOVENIA

  204. SOLOMON ISLANDS

  205. SOMALIA

  206. SOUTH AFRICA

  207. SOUTH GEORGIA AND THE SOUTH SANDWICH ISLANDS

  208. SOUTH SUDAN

  209. SPAIN

  210. SRI LANKA

  211. SUDAN

  212. SURINAME

  213. SVALBARD AND JAN MAYEN

  214. SWAZILAND

  215. SWEDEN

  216. SWITZERLAND

  217. SYRIAN ARAB REPUBLIC

  218. TAIWAN

  219. TAJIKISTAN

  220. TANZANIA, UNITED REPUBLIC OF

  221. THAILAND

  222. TIMOR-LESTE

  223. TOGO

  224. TOKELAU

  225. TONGA

  226. TRINIDAD AND TOBAGO

  227. TUNISIA

  228. TURKEY

  229. TURKMENISTAN

  230. TURKS AND CAICOS ISLANDS

  231. TUVALU

  232. UGANDA

  233. UKRAINE

  234. UNITED ARAB EMIRATES

  235. UNITED KINGDOM

  236. UNITED STATES

  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



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

  1. Atmosphere

  2. Biosphere

  3. Cryosphere

  4. Land

  5. Human dimensions

  6. Near-real-time applications

  7. Ocean

  8. Space Geodesy

  9. Calibrated radiance

  10. Other (please specify)


Q4. For which specific areas/disciplines do you need or use Earth science data and services? (select any that apply)

  1. Agriculture

  2. Air quality

  3. Atmospheric Composition

  4. Atmospheric Dynamics

  5. Carbon Cycle

  6. Climate

  7. Climate Change

  8. Cryosphere – Glacier

  9. Cryosphere - Permafrost

  10. Cryosphere - Sea ice

  11. Cryosphere - Snow

  12. Ecological Forecasting

  13. Ecosystems

  14. Energy

  15. Geology

  16. Hydrology

  17. Land Cover

  18. Land Use

  19. Lightning

  20. Modeling (please specify)

  21. Natural Disasters/Natural Hazards

  22. Ocean Color Radiometry

  23. Ocean (sea surface height, sea surface temperature, ocean wind, etc.)

  24. Population

  25. Public Health

  26. Resources (Forestry, Mining, etc.)

  27. Socioeconomics

  28. Solid Earth

  29. Space Geodesy

  30. Space Weather

  31. Sun-Earth Connections

  32. Sustainability

  33. Water Resources

  34. Weather

  35. Other (please specify)


Q5. Have you done any of the following <from data center>: searched, requested, ordered, visualized, and/or downloaded data or services?

  1. Yes

  2. No (SKIP TO Q35)


Search

Q6. How did you search for the data products or services you were seeking?

    1. Data center’s or data-specific specialized search, online holdings or datapool (Please specify) (DADDI, Data Miner Tool, Earth Explorer, GDEx, Giovanni, GloVis, HITIDE, HyDRO, IceBridge Data Portal, LAADS, Live Access Server (LAS), Mercury (Advanced Product Search), Mirador, MISR Order Tool, MIST, MODIS Land Products Subsets, NOESIS, NSIDC Data Pool, PO.DAAC Dataset Discovery, POET, Polaris, SAGE, SeaDAS, Spatial Data Access Tool (SDAT), URSA, Vertex, WebGIS, Other (please specify)

    2. Direct interaction with user services personnel

    3. Global Change Master Directory

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

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

    6. OPeNDAP

    7. Reverb

    8. THREDDS

    9. Other (please specify)

    10. Did not search (SKIP TO Q12)


Q7. Were you searching for multiple datasets for the same geographic region, temporal range, etc.?

  1. Yes

  2. No


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 …


Q8. Ease of finding data

Q9. Ease of using search capability

Q10. How well the search results met your needs

Q11. Ease of understanding the dataset description and options

Order


Q12. Did you get data products in the last year?

1. Yes. Please comment on whether there are other data services that you would find useful. (i.e., subscription service, saved user preferences, on-demand subsetting …)

2. No (SKIP TO Q35)


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


Q13. Ease of selecting data products

Q14. Description of data products

Q15. Ease of requesting/ordering data products


Q16. Did you use a subsetting tool as part of the process of requesting/ordering/downloading the data or was a subsetting tool part of the subscription process?

  1. Yes, by band

  2. Yes, by channel

  3. Yes, by geographic area

  4. Yes, by geophysical parameter

  5. Yes, by both geographic area and geophysical parameter

  6. Did not use a subsetting tool

  7. No, did not need a subsetting tool


Delivery


Q17. Are you getting data delivered the way you prefer?

  1. Yes (ASK Q18 THEN GO TO Q20)

  2. No (SKIP TO Q19)


Q18. Which methods of data delivery did you use? (Select all that apply)

  1. Web download

  2. Web bulk download

  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)


Q19. Which method of data delivery do you prefer? (Please specify)


Q20. How long did it take for you to receive your data products?

  1. Immediate retrieve

  2. Less than an hour

  3. Less than a day

  4. 1-3 days

  5. 4-7 days

  6. More than 7 days


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


Q21. Convenience of delivery method

Q22. Timeliness of delivery method


Format


Q23. Are you getting data in the format you prefer?

1.Yes (ASK Q24 THEN GO TO INTRO BEFORE Q26)

2. No (SKIP TO Q25)


Q24. Please indicate your preferred format below.

  1. ASCII

  2. Binary

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

  4. e00

  5. GeoTIFF

  6. HDF4

  7. HDF-EOS profile of HDF4

  8. HDF5

  9. HDF-EOS profile of HDF5

  10. JPEG, GIF, PNG, TIFF

  11. KMZ/KML

  12. NetCDF classic

  13. NetCDF4

  14. SHP

  15. Other (Please specify)


Q25. Please specify another format or comment on specific version, etc. (Open end)


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


Q26. Ease of using the data product in the delivered format

Q27. Overall quality of the data product

Q28. Overall usability of the data product


Usage

Q29. How many people are using or will use the data you received?

  1. 1

  2. 2-4

  3. 5 or more


Q30. Are you generally finding what you want in terms of type, format, time series, etc.?

  1. Yes

  2. No (Please specify and/or comment on what you want but are not finding.)





Q31. What operating system(s) do you use for data analysis? (select any that apply)

  1. Windows

  2. Mac OS

  3. Linux

  4. UNIX

  5. Other (Please specify)


Q32. 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 Q33 THEN GO TO Q35)

  2. Yes, I made my own using a programming language (SKIP TO Q34)

  3. No, I couldn’t find what I needed (please specify what you were looking for) (SKIP TO Q35)

  4. No, I couldn’t understand how to use it (please specify what you were trying to use) (SKIP TO Q35)

  5. No, I did not need software tools (SKIP TO Q35)


Q33. Please specify which tool or tools you used to work with the data

  1. ArcGIS

  2. ENVI

  3. ERDAS/IMAGINE

  4. Excel

  5. Ferret

  6. Geomatica®

  7. Global Mapper

  8. GrADS

  9. GRASS

  10. HDFView

  11. HEG

  12. IDL

  13. IDV

  14. IDRISI

  15. LAS

  16. MATLAB

  17. MODIS Reprojection Tool (MRT)

  18. NCL

  19. Panoply

  20. Quantum GIS (QGIS)

  21. SeaDAS

  22. Other/OpenSource (Please specify)


Q34. Which programming language do you prefer to use?

  1. C

  2. C++

  3. C#

  4. Fortran 77

  5. Fortran 90

  6. Java

  7. Perl

  8. PHP

  9. Python

  10. Others (Please specify)





Documentation


Q35. Did you look for or get documentation?

  1. Yes

  2. No (SKIP TO Q41)


Q36. What documentation did you use or were you looking for? (select any that apply)

  1. Instrument specifications

  2. Science algorithm

  3. Product format

  4. Search Tools

  5. Data Analysis Tools

  6. Visualization Tools

  7. Science applications

  8. Data product description

  9. Production code

  10. Other


Q37. Was the documentation

  1. Delivered with the data

  2. Available online

  3. Not found (SKIP TO Q41 )


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


Q38. Overall quality of the document (i.e., technical level, organization, clarity)

Q39. Extent to which the data documentation helped you use the data

Q40. What additional documentation do you need? (Please specify)


Customer Service

Q41. During the past year have you requested assistance from <Data center name>’s user services office or interacted with data center personnel at a conference or event?

  1. Yes

  2. No (SKIP TO Q49)


Q42. Was it …?

  1. By phone

  2. By E-mail

  3. Both by phone and e-mail

  4. In person at an event or conference


Think about the user services staff you interacted with when you requested assistance from <Data center 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…


Q43. Professionalism

Q44. Technical knowledge

Q45. Accuracy of information provided

Q46. Helpfulness in selecting/finding data or products

Q47. Helpfulness in correcting a problem

Q48. Timeliness of response


ACSI


Q49. 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 <Data center name>?


Q50. 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 <Data center name> fallen short of or exceeded your expectations


Q51. Now, imagine an ideal provider of scientific data products and services. How close does <Data center 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


Q52. Using a 10-point scale on where “1” means “Not at all likely” and “10” means “Very likely,” how likely are you to recommend <Data center name> to a colleague?


Q53. 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 <Data center name> in the future?


Q54. Have you ever contacted <Data center name> to report a problem?

  1. Yes

  2. No (SKIP TO Q57)


Q55. Using a 10-point scale on which “1” means “handled very poorly” and “10” means “handled very well”, please rate how well the problem was handled.


Q56. Were you able to get the help you needed on your first request for assistance?

  1. Yes

  2. No


Q57. Do you have any additional comments or suggestions about possible improvements to data (e.g., near-real-time, ...), data products, 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.


Your survey responses have been received.


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




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