We are pleased to announce that Mica2 3.3 is now available. Mica is OBiBa’s data web portal for epidemiological studies and networks.
This release introduces the following new functionalities:
Variables can be put in a cart, either from the search page or from a single variable page. This allows the user (researcher) to
perform several search iteratively in order to constitute a set of variables of interest. This set of variables can be managed, shared
or used for processing (download, data exploration and much more to come).
Entities count analysis, a feature introduced with Opal 2.10 is now available in Mica web portal:
from the cart of variables, some variables from collected datasets can be selected to perform a participant count analysis.
This analysis gives the number of participants that are matching variable criteria from different datasets. In addition to know whether a study has
collected data about a domain of interest (variable search), the researcher can also estimate the number of participants that
would match its needs (for instance, the number of women older than 50, being smoker and not having cancer).
Mica R package is now available for extracting from a Mica server the published content. This can be used to provide some
metrics and reports on the data web portal content. See
Mica R Client documentation .
Mica Python Search command is now available for extracting from a Mica server the published content, similarily to what can be get from the Mica R package. See
Python Search command documentation .
Search query can be copied from the search page in order to be reusable in R or Python utils. The query expresses criteria about any document type (variable, dataset, study, network)
and can be applied to retrieve any document type (a key feature of Mica).
See Mica documentation for installation and operation instructions.