The TabularDataLab VLab was conceived to provide its users with a working environment supporting the management of tabular data, i.e. any dataset that can be represented in a table format. In particular, the environment offers a suite to import, curate, analyse and publish tabular data resources in a collaborative way. Moreover, the environment offers a suite to import, curate, and publish code lists in a collaborative way. In addition to the basic functionalities, as a workspace for sharing objects of interest, a social networking area for supporting the discussions among members and a user management facility for managing membership, this VRE is specifically equipped with the following capability: Tabular Data management: a facility enabling users to import, curate and manage tabular data. This feature can support data managers during the whole life cycle of data management from data capture to publication and visualisation. It enables data managers to import and transform datasets (CSV, SDMX, JSON) into tabular resources (i.e. tabular data having proper types associated with columns eventually referring to code lists) and reference datasets (code lists) representing recognized value instances of the elements the dataset is about (e.g., species, zones, countries). This functionality guarantees that the tabular resources are compliant with the defined types and code lists. Besides the curation, the facility supports the analysis of the data by enabling a user to: Perform operations like grouping and filtering Produce charts and GIS maps (if the data have geographic features) Analyse the data via an R environment as well as via the data analytics facilities Publish of tabular resources in the infrastructure by equipping them with rich metadata