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Complex environmental projects span years, contractors and personnel. These projects generate reams of data in a myriad of formats from hard copy documents, to spreadsheets to complicated proprietary databases. Countless hours and financial resources are spent collecting data over the life of any one project to provide the basis for technical decisions which will be made to attain project goals. Effectively utilizing this data and realizing a return on the original data collection investments is paramount. ddms specializes in working with these data generated from environmental sites.
Data generated by environmental sites usually include the following which, depending on the age of the investigation, are generally stored in several different formats:
- Field Observation Data
- Field Screening or Quality Measurement Data
- Lithologic Data from Soil Borings
- Laboratory Data
- Spatial Data (i.e. coordinates)
The task of assimilating, normalizing, digesting, interpreting and disseminating these data is an integral part of any project. The staff at ddms is unique in that it understands the nature and origin of environmental data but is also versed in the use of high end software applications and systems to get the most from them.
ddms staff employ rigid Quality Assurance/ Quality Control (QA/QC) standards in all their data management projects. Whenever possible, metadata or data which describe the data, are maintained or generated to accompany the data and provide context.

Communicating and exchanging these data among laboratories, contractors, agencies and clients is one of the essential functions of any project team. Understanding data vehicles such as Electronic Data Deliverable (EDD) formats and being able to both import and export them can dramatically reduce costs and increase project efficiency. ddms draws on its experience in working with these data and EMIS platforms to effectively serve as the Data Manager on project of any size. ddms employs the latest in data communication formats and techniques including XML (Extensible Markup Language), Web Services and SOA (Service Orientated Architectures).
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