In order to establish a strong Observation data set five main activities must be carried out. These are referred to as the Value Chain Activities and are incorporated in the DQ Framework solutions.

At first the Project Specification activities must be carried out, which among include e.g. observation scheme design, deployment design, instrument setup and outline of monitoring procedures. To ensure smooth observation processes and compliance to procedures all of these activities can be documented and journalized in the DQ Framework. Furthermore, relevant information can be communicated to related actors, such as from project management to data providers or from data provider to project management/data owner.

Following this the Data Gathering Specification is prepared. This typically involves activities such as station set-up and maintenance, instrument maintenance, data collection guidelines plus QA/QC concept outlines. Smooth documentation and administration of all of the activities are an integrated part of the DQ Framework. All of this is done to ensure systematic deployment-, instrument-, data- and QA/QC management, which can lead to substantial efficiency gains.

Based on the Project and Data Gathering Specification the Data Logging activities are carried out using the specified measurement instruments. In general the DQ Framework aims at being compatible with devices from all the major Met-Ocean instrument manufacturers by offering a generic data providing interface from all the major Met-Ocean instrument manufacturers.

When data logging is complete data is imported into the DQ framework for Data Qualification, which is the very core of the framework. The objectives are to facilitate application of the right observation scheme standards, appropriate deployment and procedures plus secure full transparency between original and qualified data values. Some of the activities accordingly enable e.g. automatic application of norms on data sets, flagging and multidimensional manipulation of data.

Upon completion of the data qualification session the Reporting activities are commensed. The DQ Framework supports the development of specific reports by providing a generic report interface, allowing automatic reporting including observation data as well as metadata.

Exporting is supported with a generic export interface which enables exports of observation data as well as metadata. Key exporting features are ease of data transportation (i.e. packing), transparency, and configuration capabilities.