Bioschemas training profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources.
Bioschemas training profiles: A set of specifications for standardizing training information to facilitate the discovery of training programs and resources.
复制标题
DOI：
10.1371/journal.pcbi.1011120
复制
发表时间：
2023-06
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
独立的生命科学培训活动和电子学习解决方案是最受欢迎的培训模式，因为它们既解决了需要的学习问题，又解决了“提高技能”的有限时间框架问题。然而，寻找相关的生命科学培训课程和材料是具有挑战性的，因为这些资源没有以一致的方式标记为互联网搜索。缺乏标记标准来促进培训资源的发现、重用和聚合，限制了它们的有用性和知识翻译的潜力。通过全球生物信息学学习、教育和培训组织（GOBLET）、生物模式培训社区和ELIXIR FAIR培训焦点小组的共同努力，已经为生命科学培训课程和材料开发、出版和实施了一套生物模式培训简介。在这里，我们描述了基于生物图式模型的开发方法和方法，并介绍了3种生物图式培训概况：培训材料、课程和课程实例的结果。在实现过程中遇到了一些挑战，我们将讨论这些挑战以及潜在的解决方案。随着时间的推移，培训提供者继续实施这些生物图式培训概况将消除技能发展的障碍，促进发现符合个人学习需求的相关培训事件，以及发现和再利用培训和教学材料。在生命科学培训资源（如课程、材料、数据等）缺乏可理解和易于实施的标准的情况下，这些资源很难定位或协调在一个中央存储库中。从FAIR（可查找、可访问、可互操作、可重用）原则的角度来看，这种差距阻碍了可查找性，进而阻碍了可访问性，这在生物信息学培训领域是一个关键问题。我们的工作描述了生命科学培训资源（Course, CourseInstance, TrainingMaterial）的标准开发过程和最终的网络元数据标准。它建立在现有元数据标准创建过程（如Schema.org）的基础上，并将标准缩小到与生命科学受众相关的标准（在Bioschemas.org下）。重要的是，我们的工作考虑了在现有培训资源网站中实现元数据标准的障碍，并通过描述每个培训配置文件所需的一组最低标准来降低实现障碍。随着我们最近发布的以生命科学为重点的培训标准，我们看到生物信息学培训社区迅速接受了这一标准，强调了生物信息学和更广泛的生命科学培训社区都需要这样的标准。
Stand-alone life science training events and e-learning solutions are among 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 markup 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 3 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. In the absence of understandable and readily implementable standards for life science training resources such as courses, materials, data, etc., such resources are difficult to locate or to harmonize in a central repository. From a FAIR (Findable, Accessible, Interoperable, Reuse) principles lens, this gap hinders findability and by extension accessibility, which, in the field of bioinformatics training, is a critical problem. Our work describes the standards development process and the finalized web metadata standards for life science training resources (Course, CourseInstance, TrainingMaterial). It builds upon existing metadata standard creation processes such as that from Schema.org and narrows down the standards to those relevant for life science audiences (under Bioschemas.org). Importantly, our work considers the hurdles of implementing metadata standards within existing training resource websites and lowers the barrier to implementation by describing a set of minimum standards needed for each training profile. With the recent release of our life science–focused training standards, we have seen rapid uptake among the bioinformatics training community highlighting the need for such standards in both the bioinformatics and broader life science training communities.
登录
查看更多内容
影响因子：
3.9
作者：
Goble, Carole;Cohen-Boulakia, Sarah;Schober, Daniel
通讯作者：
Schober, Daniel
影响因子：
5.8
作者：
Corpas, Manuel;Jimenez, Rafael C.;Attwood, Teresa K.
通讯作者：
Attwood, Teresa K.
DOI：
10.1093/bioinformatics/btt113
发表时间：
2013-05-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Ison J;Kalas M;Jonassen I;Bolser D;Uludag M;McWilliam H;Malone J;Lopez R;Pettifer S;Rice P
通讯作者：
Rice P
影响因子：
9.5
作者：
Attwood TK;Blackford S;Brazas MD;Davies A;Schneider MV
通讯作者：
Schneider MV
影响因子：
9.8
作者：
Wilkinson MD;Dumontier M;Aalbersberg IJ;Appleton G;Axton M;Baak A;Blomberg N;Boiten JW;da Silva Santos LB;Bourne PE;Bouwman J;Brookes AJ;Clark T;Crosas M;Dillo I;Dumon O;Edmunds S;Evelo CT;Finkers R;Gonzalez-Beltran A;Gray AJ;Groth P;Goble C;Grethe JS;Heringa J;'t Hoen PA;Hooft R;Kuhn T;Kok R;Kok J;Lusher SJ;Martone ME;Mons A;Packer AL;Persson B;Rocca-Serra P;Roos M;van Schaik R;Sansone SA;Schultes E;Sengstag T;Slater T;Strawn G;Swertz MA;Thompson M;van der Lei J;van Mulligen E;Velterop J;Waagmeester A;Wittenburg P;Wolstencroft K;Zhao J;Mons B
通讯作者：
Mons B