This special issue contains a second selection of the papers presented at the Seventh Italian Conference on Survey Methodology, ITACOSM2022, held in Perugia in June 2022 with a focus on "Survey Methods for Statistical Data Integration and New Data Sources". ITACOSM is a bi-annual international conference organized by the Survey Sampling Group of the Italian Statistical Society whose aim is promoting the scientific discussion on the theoretical and applied developments of survey sampling methodologies in official statistics and applied sciences. In particular, ITACOSM2022 provided a showcase for methods and applications that combine sources of data for better sampling strategies.Complementarily to the first special issue published last April [6], this selection of papers focuses on the applied challenges of data integration and provides a set of tools and diverse case studies. In particular, three papers provide applications of data integration techniques [1, 2, 7], three provide new tools to face issues when applying data integration to real data [3][4][5], and all papers face issues and/or apply methods envisioning the production of official statistics. The sampling phase of a survey is considered in [3] and in [1], the analysis of data quality is the core of [2], while the estimation step is treated in [4,5], and in [7], with a particular emphasis on small area estimation in the former two.Bernardini et al.[1] provides an overview of the role of data integration in the new Italian Permanent Population and Housing Census carried out by the Italian National Institute of Statistics (Istat). The backbone of the new Census is the statistical Population Register, whose main sources are the local population registers of Italian municipalities, while two sample surveys (the so-called area and list surveys) are conducted annually to evaluate and correct the coverage errors of the Population Register and collect the data needed to produce Census outputs. In 2020 the field surveys were cancelled because of the pandemic, and a process of integration of available data from previous waves with administrative signs-of-life was set up in order to estimate population counts at municipal level for age, sex and citizenship. This B M. Giovanna Ranalli
