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When extracting data using tags, it can be helpful for some tags to have a simple text excerpt as associated data, and for some tags to have a table to fill out. But when is it best for a tag to have text contents vs table contents?
Tag Tables can serve as an alternative to our module: Meta-analytical Extraction, since it is much less time-intensive. If you are not performing a network meta-analysis and/or your project doesn't have explicit interventions but you still want to collect quantitative data, then tag tables may be a great option. Especially since this tool has far greater flexibility and customizability than MA Extraction.
A tag table is:
Since tag tables is compatible with Standard and Form-based Tagging modes, they can truly be configured and useful for a variety of use cases including the collection of:
Read our blog on Tag Table Use Cases for more information.
For example, a table of information on subgroups may be configured like so:
Then this tag table would look like so in the Tagging module to be filled out from the abstract or full text (note this nest is also configured for Form-based mode):
Columns headers can be altered in Configure Tagging or on the fly during Tagging by clicking the header.
Tag tables can be particularly useful in reducing the size of your tag hierarchy, since large amounts of data will be collected within a single table in a single tag rather than across a range of tags.
Ultimately, if you are looking to extract any type of data into a spreadsheet from underlying studies, you’re far better served to turn a Tag into a Tag Table.
