Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

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Title:: [WP-1 ADVANCED COMPUTING FOR INTERPRETATION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: DEVELOPMENT OF A DATA SET INDEX FOR THE GLOBAL CLIMATE RESEARCH PROGRAM. Donald R. Block and Edward H. Barrows

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Structure type:: Chapter

306 facts about a data set. They required the storage of detailed information that would provide insight into the usefulness of a data set relative to their projects. This kind of information was only available from other scientists who had knowledge of the data sets. Realizing that getting a scientist to enter detailed information about a data set into the DSI would be difficult we identified ease of data entry as a top priority in the system design. To make data entry convenient we decided to require only a minimum amount of information based on a data sets usefulness to the GCRP. Primarily we wanted to give the scientists the freedom to add information and categories of information whenever they determined it would be useful in describing a data set. When attempting to identify the minimum amount of required information we recognized that in many cases a scientist’s knowledge of a data set would be directly related to the data set’s usefulness in the GCRP. With this in mind we developed a classification scheme for data sets based on their level of use within the GCRP resulting in four levels of usage: investigated, accessed, acquired, and generated (Figure 1). The scientist’s knowledge of a data set would most likely grow as the data set proceeded through these levels of usage. Therefore the DSI was designed to require more information as the usage of the data set increased. In addition to identifying the quantity of information required in the DSI based on data set usage we identified the categories of information that would be required to describe a data set. To do this we identified the users of the DSI from a data retrieval perspective. Primarily we wanted the DSI to serve scientists as a type of library system for data sets. If scientists had a data need we wanted them to first search the DSI to see if the data they required had already been located by other scientists in the GCRP. This would help facilitate the acquisition of the data for the scientist while also reducing the cost of data duplication for the program. Secondarily we wanted the DSI to serve as a data management tool for the GCRP data manager. Using information from the DSI the data manager would be able to report more holistically on the status of GCRP data to program managers while also keeping track of data redundancy, data quality, data quantity, data usage and data distribution. To satisfy these user needs we identified 5 categories of information to store in the DSI. 1. Data Set Information Information about the data set such as the data set name, a description of the data set, the source of the data set, the primary scientific purpose for the data set’s existence, whether a data dictionary for the data set exists, the quality of the data dictionary, the major parameters stored in the data set. 2. Data Set Retrieval Information Information to assist in retrieving this metadata such as acronyms for the data set name and parameters, keywords used to reference the data set, spatial features recorded in the data set for locating sampling locations, and temporal descriptors used to define the frequency and duration of sampling events. 3. Data Set Recorder Information Information about the person or group making the DSI entry such as their name, level of understanding of the data set, location, phone number, and their affiliation within the GCRP. 4. Data Set Usage Information Information about the uses and/or usefulness of the data to the GCRP such as the potential usefulness of investigated data, uses of acquired data, and the name of the person or research group using the data set. 5. Data Set Acquisition Information Information about the acquisition and storage of the data such as the location of the data, name of the data analyst in charge of the data, and the formats in which the data is stored. The metadata within the DSI will be stored in these categories and the data retrieval software will use the categories to provide more options for selective data retrieval. The relationship between the DSI required information and the usage level of data sets as shown in Figure 2. For investigated data sets only minimal information for categories 1, 2, and 3 will be required. As the level of usage increases, information from all 5 categories will be required and the amount of detail will increase. Another consideration concerning the DSI design

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