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The search-query package could offer a database of query filters for programmatic access.
Note
We could start with building blocks (e.g., RCTs / Reviews / Retracts). Full queries may be displayed separately (offering a filter for disciplines).
pip install search-query[database]
pyproject.toml: database option for separate package/dependency: search-query-database (containing searchRxiv, SYNERGY, ...)
from search-query import database query = database.load_query(doi="10.1079_SEARCHRXIV.2022.00001")
from search_query.database import FT50, clinical_trials print(FT50) > OR[issn=1234, issn=5678, JN="MIS Quartery", ...] print(clinical_trials) > OR[title=rct, title="clinical trial", title="randomized controlled trial", title="experiment", ...] # Combination with custom query blocks custom_block = ORQuery(....) full_query = ANDQuery(custom_block, clinical_trials, FT50)
In addition, it could offer direct programmatic access to full queries
from search_query.database import Wagner2025 print(Wagner2025) > AND[OR[digital, virtual], OR[work, labor]]
The text was updated successfully, but these errors were encountered:
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The search-query package could offer a database of query filters for programmatic access.
Note
We could start with building blocks (e.g., RCTs / Reviews / Retracts). Full queries may be displayed separately (offering a filter for disciplines).
pyproject.toml: database option for separate package/dependency: search-query-database (containing searchRxiv, SYNERGY, ...)
In addition, it could offer direct programmatic access to full queries
The text was updated successfully, but these errors were encountered: