The evaluation of cartilage using magnetic resonance data provides information on the integrity and physiological condition of tissue; specifically, its water content [11].
The adequacy with which an FFQ can provide reliable diet assessment data depends on the integrity of the underlying database.
Other authors have used ML on data concerning the integrity of white matter fibers to predict the surgical outcome in patients with epilepsy [25].
To achieve this, authors need to be careful when providing information in research articles, on the integrity of the data and on the transparency of the data acquisition (i.e. sampling date, sample size and geographical position), ensuring the quality of the data recovered.
The authors emphasize that data on treatment integrity or social validity – if the interventions are accepted by key agents e.g. parents, children and intervention agents – are essentially nonexistent in the literature.
Understanding and characterizing NLP stability over time provides insight into shelf life of the NLPs, while also providing preliminary data on NLP integrity during in vitro and in vivo applications.
Several called for more, and more robust, prospective controlled studies (Thomson et al., 2009, Saegert et al., 2003), which collect data on intervention integrity and health impacts on different socio-economic groups (Thomson et al., 2009).
Specifically, we propose using the ability to replicate eQTLs as a biologically meaningful check on the integrity of the data and to help ensure that the data is being handled appropriately at each quality control and data adjustment step.
Despite checks on the integrity of the data some uncertainty remains about the authenticity of the original data, as some studies date from before the period when rigorous checks for good clinical practice were implemented.
The security of this approach depends on the integrity of the data supplied via DNS, i. e., DNSSEC [22] is a mandatory prerequisite in DANE.
