A system for querying, retrieving and analyzing
protocol- and results-related information on clinical trials from
three public registers, the 'European Union Clinical Trials Register'
('EUCTR', <https://www.clinicaltrialsregister.eu/>),
'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and
the 'ISRCTN' (<http://www.isrctn.com/>).
Trial information is downloaded, converted and stored in a database
('PostgreSQL', 'SQLite' or 'MongoDB'; via package 'nodbi').
Functions are included to identify deduplicated records,
to easily find and extract variables (fields) of interest even
from complex nesting as used by the registers, and
to update previous queries.
The package can be used for meta-analysis and trend-analysis of
the design and conduct as well as for results of clinical trials.

jsonlite, httr, curl, clipr, xml2, rvest, nodbi (>= 0.9.0),
stringi, dplyr, lubridate
A system for querying, retrieving and analyzing
protocol- and results-related information on clinical trials from
three public registers, the 'European Union Clinical Trials Register'
('EUCTR', <https://www.clinicaltrialsregister.eu/>),
'ClinicalTrials.gov' ('CTGOV', <https://clinicaltrials.gov/>) and
the 'ISRCTN' (<http://www.isrctn.com/>).
Trial information is downloaded, converted and stored in a database
('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi').
Functions are included to identify deduplicated records,
to easily find and extract variables (fields) of interest even
from complex nesting as used by the registers, and
to update previous queries.
The package can be used for meta-analysis and trend-analysis of
the design and conduct as well as for results of clinical trials.

devtools, knitr, rmarkdown, RSQLite (>= 2.1.2), mongolite,
tinytest (>= 1.2.1), R.rsp

Provides functions for querying, retrieving and analysing
protocol- and results-related information on clinical trials from
two public registers, the European Union Clinical Trials Register
(EUCTR, <https://www.clinicaltrialsregister.eu/>) and
ClinicalTrials.gov (CTGOV, <https://clinicaltrials.gov/>). The
trial information is transformed and stored in a database (RSQLite
or MongoDB, via nodbi). Functions are provided to identify de-
duplicated records, to easily find and extract variables (fields)
of interest even from complex nesting as used by the registers,
and to update previous queries that users retrieved in a database.
The package can be used for meta analysis and trend-analysis of
the design and conduct as well as results of clinical trials.