Honolulu Retail Monitoring Price Data Collection (2007-2011)

This database contains a time series of consumer-level prices for a sample of retail markets in Honolulu between 2007-2011. Data include weekly prices for fish species prevalent in Honolulu retail seafood markets. Additionally, each record contains information on the product form, origin of the fish (if known), labelling schemes, quality (where applicable), and the use of preservation methods (such as CO-treatment).

The purpose of this data collection effort was to gain a better understanding of retail (consumer) markets in Hawaii. Time series data at the consumer level could support research into price transmission within the Hawaii seafood market. Additionally, having a record of retail pricing and market observations provides valuable insights into the market responses of management actions. There is no historic record of consumer-level prices for fish in Hawaii so this research provides a baseline understanding of the retail market sector.

Division: Ecosystem Science Division

Program: Socioeconomics Program

Program Lead: Justin Hospital

Ownership: PIFSC

Temporal Resolution: Day

Frequency of Collection: Weekly

Types of data Collected: date, location, product form, quality, species, price, label (y/n), origin, treatment (CO), notes

Collection method: in-person primary data collection (of posted prices)

Recording media: Paper

Collection Standards of the data: Available

Validation and QC Procedures: Available

Storage Location: NOAA Inouye Regional Center

Storage Media: HDD office desktop, external hard drive

Storage Format: MS Access and .CSV

Data Backup: Available

Data Distribution Method: Encrypted zip file

The electronic data are stored on government computers with all the proper Government security measures in place, including firewalls, individual username login, and password protection.

PIFSC Data Access, Sharing and Dissemination Guidelines

Contact Justin Hospital (justin.hospital@noaa.gov), 808-725-5399

Summaries for public access/display

A. The user is responsible for the results of any application of this data for other than its intended purpose. B. The developers of this data are concerned with assuring its proper use. Before the data are used to draw specific scientific conclusions, potential users are requested to contact the Data Steward for background on the data. Acknowledgement of products derived from this data set should be cited. While efforts have been made to ensure that these data are accurate and reliable, PIFSC cannot assume liability for any damages or misrepresentation caused by any inaccuracies in the data or as a result of changes to the data caused by system transfers.

None

None

Access database

The data reflects weekly prices based on our sample of Honolulu retail outlets. Data were collected through non-probabilistic sampling and numerous individuals were involved with the data collection effort. With that said the data are reasonably representative of trends in retail prices.

Non-probabilistic sampling was used and no effort is used to provide any population-level estimates.

True retail prices values are unknown, and was not the intent of this research. However, the data provide insights into pricing trends for the markets participating in the research effort.

After the data were recorded through primary in-person data collection methods (paper), data were entered into the data entry file (MS Access database). Then the entered data were subject to logic tests and appropriate skip patterns. The data were assessed for outliers and cleaned. Finally, the cleaned data were used to generate data reports and summaries.

These data are Legacy and Sensitive (business information). Efforts to disseminate can be arranged upon request, but the data are currently out of scope for the Data directive.

Data is securely stored in PIFSC's server with password protection.

Only staff who work on the project can access to the data.

After the data were recorded through primary in-person data collection methods (paper), data were entered into the data entry file (MS Access database). Then the entered data were subject to logic tests and appropriate skip patterns. The data were assessed for outliers and cleaned. Finally, the cleaned data were used to generate data reports and summaries.