“So many things were new to us”: identifying the settlement information practices of newcomers to Canada across the settlement process

PurposeThe purpose of this paper is to identify and map the shifting relationship between the settlement process and the information practices of newcomers from the Philippines as they migrate and settle in Canada.Design/methodology/approachThis research employs two semi-structured in-depth interviews, each with 14 newcomers from the Philippines to Canada. Participants were selected because they had migrated to Winnipeg through the Manitoba Provincial Nominee Program within 1–4 years of the date of interview.FindingsEight settlement information tables are identified that demonstrate participants' migration experiences, including participants' thoughts and feelings related to migration and settlement, their information questions and needs, the information resources they consult and the activities in which they engage.Originality/valueThis paper argues that this phased model approach documents the shifting relationship between settlement processes and migrants' information needs, activities, resources and practices. Articulating study findings using this phased model approach can support information institutions, such as the settlement sector and libraries, to provide support to newcomer groups in a timely and targeted manner.

Supplemental Material: Biomineralization of the Cambrian chancelloriids

Fossil distribution, preservation, and repository information, Tables S1–S3, and Figures S1–S3.<br>

Supplemental Material: Biomineralization of the Cambrian chancelloriids

Fossil distribution, preservation, and repository information, Tables S1–S3, and Figures S1–S3.<br>

KAUST Metagenomic Analysis Platform (KMAP), Enabling Access to Massive Analytics of Re-Annotated Metagenomic Data.

Exponential rise of metagenomics sequencing is delivering massive functional environmental genomics data. However, this also generates a procedural bottleneck for on-going re-analysis as reference databases grow and methods improve, and analyses need be updated for consistency, which require acceess to increasingly demanding bioinformatic and computational resources. Here, we present the KAUST Metagenomic Analysis Platform (KMAP), a new integrated open web-based tool for the comprehensive exploration of shotgun metagenomic data. We illustrate the capacities KMAP provides through the re-assembly of ~27,000 public metagenomic samples captured in ~450 studies sampled across ~77 diverse habitats, resulting in 36 new habitat-specific gene catalogs, all based on full-length (complete) genes. Extensive taxonomic and gene annotations are stored in Gene Information Tables (GITs), a simple tractable data integration format useful for analysis through command line or for database management. KMAP facilitates the exploration and comparison of microbial GITs across different habitats with over 275 million genes.