● Academic versus non-academic
● Protocol documentation
Level of preparedness
● Data sharing and dissemination
● Prepared versus unprepared
● Data preservation
● Five-point scale development level from not developed to very developed
● Electronic lab notebooks
● Data citation manager
● Data search engine
● Data processing software (R, Python, etc.)
RDF data conversion, RDF data storage and querying, and datavisualization has matured, which can meet the requirements of bibliographic control and authority control, data reuse and sharing, and knowledge organization and discovery in Web environment.
There is a technical framework that supports knowledge reorganization and provides knowledge service – not just document retrieval and reading, thus fulfilling the requirements of DH ( Figure 1 ). The framework is based on other existing frameworks, models, standards, and tools and was built using the following
medical-terminology hashtag and lay-language hashtag was very low in all the samples. This indicates that most users tend to reduce the redundancy in hashtag usage by avoiding hashtags with similar or identical semantic meanings.
4.1 Data Analysis with Visualizations: Radar Graph and Scatterplot
This study employs radar graph and scatterplot as datavisualization aids to get an intuitive demonstration. These visualize the complexity in the structure of a tweet-sample and reveal the pattern of the characteristics of each individual tweet in the sample. To compare