For data collection, we used the Sony Xperia Active smartphone which is dust and water-resistant, has a 3-inch capacitive touchscreen and a built-in ANT-radio (http://www.thisisant.com).
For data collection, we used a standardized and pre-tested questionnaire with open and closed questions.
As software tool for data collection we used a program called Computer-based Health Evaluation System [CHES, [ 14]].
For data collection, we used a relatively high electron dose, which may have been key to properly aligning particles.
For the data collection, we used interviews, as well as information provided by members of our expert panel, in addition to information collected from websites and provided at a bioeconomy event.
For the data collection, we used interviews, as well as information provided by members of our expert panel, in addition to information collected from websites and provided at a bioeconomy event.1 To guide the analysis, we used the conceptual work of Wüstenhagen et al., as discussed in the Background section.
For automated data collection we used a Resusci-Anne™ Skill Meter (Laerdal Medical AS, Stavanger, Norway).
To meet the criteria for trustworthiness during data collection, we used multiple approaches as suggested by Lincoln and Guba (1985) and detailed below.
The data collection we used for our experiment has a total of 44,203 documents, in which 90% (39,782) were used for training and the remaining 10% (4,421) were used to evaluate LDALR.
For data collection we will use a questionnaire containing items from the Epa cardio abstraction tool [ 32].
