data validity

Consider data validity and reliability issues early on a job.

Data validity is an ongoing concern for life cycle analyses.

The difference between data validity and accuracy can be illustrated with a trivial example.

If redundant data collection is used to assess data validity, the measurements should be obtained through independent means.

These supervisory practices, against IT systems, have a basis for maintaining data validity, reliability, and integrity.

Queries become much more convoluted , the indexes and query optimizer can no longer work effectively, and data validity constraints are not enforced.

If a product and its related processes have not undergone significant revisions since the last LCA data was collected, data validity is not a problem.

Developed totally in-house, NonStop SQL includes a number of features based on Guardian to ensure data validity across nodes.

Considerations of data validity and reliability issues should be addressed early in the engagement, and appropriate technical specialists-such as data analysts, statisticians, or information technology specialists-should be consulted.

BPCS includes MRP logic to manufacturing operations, provided there are high standards of data validity such as engineering specifications and inventory accuracy.

A single parity bit does not allow implementation of error correction on each character, and communication protocols working over serial data links will have higher-level mechanisms to ensure data validity and request retransmission of data that has been incorrectly received.

Although GROMACS is open-source software and there is a cooperative effort between the Pande lab and GROMACS developers, Folding@home uses a closed-source license to ensure data validity.