Spectroscopic databases quality control

Benchmark Studies on Small Molecules Cambridge Structural Database Chemical Engineering Databases Factual Information Databases Force Fields A General Discussion Inorganic Chemistry Databases Quality Control, Data Analysis Rates of Chemical Reactions Spectroscopic Databases. 

Quality Control, Data Analysis Spectroscopic Databases. 1 REFERENCES... 

Artificial Intelligence in Chemistry Chemical Engineering Expert Systems Chemometrics Multivariate View on Chemical Problems Electrostatic Potentials Chemical Applications Environmental Chemistry QSAR Experimental Data Evaluation and Quality Control Fuzzy Methods in Chemistry Infrared Data Correlations with Chemical Structure Infrared Spectra Interpretation by the Characteristic Frequency Approach Machine Learning Techniques in Chemistry NMR Data Correlation with Chemical Structure Protein Modeling Protein Structure Prediction in ID, 2D, and 3D Quality Control, Data Analysis Quantitative Structure-Activity Relationships in Drug Design Quantitative Structure-Property Relationships (QSPR) Shape Analysis Spectroscopic Databases Structure Determination by Computer-based Spectrum Interpretation. 

A new project on electronic publishing, financially supported by the German Ministry of Research, and worked out by Wiley-VCH/Chemical Concepts, uses JCAMP and MDL standards (Figure 1). Spectroscopic data acquired directly from the spectrometer site are converted to the JCAMP format. The software TranSpec allows structure input or import in Molfile format. Quality control modules check the reliability of the information. The files in JCAMP and MDL formats are sent to the data server by email. Special software extracts the data from the email automatically and handles the entry into the database. 

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