• ASTM E2078-00

ASTM E2078-00

Standard Guide for Analytical Data Interchange Protocol for Mass Spectrometric Data

ASTM International, 03/10/2000

Publisher: ASTM

File Format: PDF

$41.00$83.00


Published:10/03/2000

Pages:25

File Size:1 file , 310 KB

Note:This product is unavailable in Russia, Ukraine, Belarus

1.1 This guide covers the implementation of the Mass Spectrometric Data Protocol in analytical software applications. Implementation of this protocol requires:

1.1.1 Specification E 2077, which contains the full set of data definitions. The mass spectrometric data protocol is not based upon any specific implementation; it is designed to be independent of any particular implementation so that implementations can change as technology evolves. The protocol is implemented in categories to speed its acceptance through actual use.

1.1.2 Specification E 2077 contains a full description of the contents of the data communications protocol, including the analytical information categories with data elements and their attributes for most aspects of mass spectrometric tests.

1.2 The analytical information categories are a practical convenience for breaking down the standardization process into smaller, more manageable pieces. It is easier for developers to build consensus and produce working systems based on smaller information sets, without the burden and complexity of the hundreds of data elements contained in all the categories. The categories also assist vendors and end users in using the guide in their computing environments.

1.3 The network common data format (NetCDF) data interchange system is the container used to communicate data between applications in a way that is independent of both computer architectures and end-user applications. In essence, it is a special type of application designed for data interchange.

1.4 The common data language (CDL) template for mass spectrometry is a language specification of the mass spectrometry dataset being interchanged. With the use of the NetCDF utilities, this human-readable template can be used to generate an equivalent binary file and the software subroutine calls needed for input and output of data in analytical applications.

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