Bioschemas Training Profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources

Leyla Jael Castro,Patricia M Palagi,Niall Beard, Bioschemas Training Profiles Group Members, ELIXIR FAIR Training Focus Group, The GOBLET Foundation,Teresa K Attwood,Michelle D Brazas

biorxiv(2022)

引用 2|浏览26
暂无评分
摘要
Stand-alone life science training events and e-learning solutions are amongst the most sought-after modes of training because they address both point-of-need learning and the limited timeframes available for 'upskilling'. Yet, finding relevant life sciences training courses and materials is challenging because such resources are not marked up for Internet searches in a consistent way. This absence of mark-up standards to facilitate discovery, re-use and aggregation of training resources limits their usefulness and knowledge-translation potential. Through a joint effort between the Global Organisation for Bioinformatics Learning, Education and Training (GOBLET), the Bioschemas Training community and the ELIXIR FAIR Training Focus Group, a set of Bioschemas Training profiles has been developed, published and implemented for life sciences training courses and materials. Here, we describe our development approach and methods, which were based on the Bioschemas model, and present the results for the three Bioschemas Training profiles: TrainingMaterial, Course and CourseInstance. Several implementation challenges were encountered, which we discuss alongside potential solutions. Over time, continued implementation of these Bioschemas Training profiles by training providers will obviate the barriers to skill development, facilitating both the discovery of relevant training events to meet individuals' learning needs, and the discovery and re-use of training and instructional materials. ### Competing Interest Statement The authors have declared no competing interest.
更多
查看译文
关键词
training information,training programs,resources
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要