Mapping information literacy using the Business Research Competencies

Purpose Librarians in higher education have adopted curriculum mapping in an effort to determine where effective information literacy instruction can help fill gaps in the curriculum and prepare students for both coursework and future research demands. While curriculum mapping has been used widely across academia, few studies have considered business curriculum and the development of information literacy instruction. This paper aims to provide an overview of the current landscape of curriculum mapping across business courses at two institutions and a replicable methodology for other institutions. Design/methodology/approach In this paper, the authors will examine two case studies at large research universities that evaluate curriculum mapping against the BRASS Business Research Competencies at the undergraduate and the graduate business levels. Findings This study found that the Business Research Competencies are a valid method to evaluate in both case studies. Curriculum mapping also uncovered various gaps in business education across the curricula at both institutions and led to open discussions with faculty in an effort to improve the success of students both during their degree programs and into their careers. Originality/value This study provides a framework and methodology for evaluating business curriculums against robust standards to improve student success. With examples from undergraduate and graduate programs, the results of this project promise to have long-lasting implications on the development of curriculums across business programs, including the value of librarian support in developing Business Research Competencies.

1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function

HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value < 5 × 10−8 previously missed by HapMap-based GWAS. Six of these loci (HOXD8, ARL15, PIK3R1, EYA4, ASTN2, and EPB41L3) are tagged by common SNPs unique to the 1000 Genomes reference panel. Using pathway analysis, we identified 39 significant (FDR < 0.05) genes and 127 significantly (FDR < 0.05) enriched gene sets, which were missed by our previous analyses. Among those, the 10 identified novel genes are part of pathways of kidney development, carbohydrate metabolism, cardiac septum development and glucose metabolism. These results highlight the utility of re-imputing from denser reference panels, until whole-genome sequencing becomes feasible in large samples.