Data entry Literature interpretation and data entry Sample Clauses

Data entry Literature interpretation and data entry. For the purpose of a harmonized data entry from peer reviewed literature by all partners a training was organized. The training elaborated on the structure of the database, the entry-tool and the interpretation of fields in the entry tool. Six persons from different WP6 partners institutes participated in this training. During the project the persons receiving the training were not always able to continue the work. It turned out to be difficult to transfer the knowledge of the person that received the training to these new persons. Feedback at the end project showed that each individual should receive proper training for data entry. With the help of the training and the guidance trained people are able to interpret literature for data entry. It turned out that a high level of expertise in the field of nanomaterial characterization, toxicology or ecotoxicology is necessary to interpret the literature and extract the essential information. Minimum requirement/ data completeness It is essential to set the minimum requirements of the level of completeness of the data depending on the purpose of its use. Two factors are important: - What is the minimum data that is needed to properly interpret the results of a given experiment considering the goal of the data collection. - Which contextual can be added via a reference document. For modelling purposes not always all data needs to be stored in a structured fashion. It is worthwhile to investigate beforehand which data are essential to be stored in a harmonized and structured way and which data can be added via a reference document or otherwise. Data entry of the literature was a time consuming process due to the high level of detail that was required in the entry tool. In current and future projects experts on various assay are asked to provide what the essential data is that is needed to interpret experimental results. The final set of minimum required information should be defined in a dialog between experts on the specific assays and experts on the database structure and purpose of the data collection.
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