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Advancing Open Data: Aligning Education with Public Sector Data Challenges

机译:推进公开数据:与公共部门数据挑战对齐教育

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LIS education has invested heavily in workforce development for data services in research institutions, however little work has been done on open data competencies needed in public libraries and government agencies. The Open Data Literacy (ODL) project is working to prepare students to build infrastructure and to curate and sustain open data resources for the public by advancing data curation and data science curriculum and providing field experiences in collaboration with city and state agencies. To determine the expertise students need to meet workforce demands, we are examining the current data challenges faced by these public sector organizations. Based on the first year of student field experiences, we found that data organization and access, data quality, and data visualization were prominent areas of competency needed across the sites. While these areas are captured to some degree in current frameworks meant to catalog "data expertise" we find that additional competencies are required, in particular the need for developing and following metadata standards, evaluation and use of storage and cloud services, APIs, law and ethics, and public sector and not-for-profit organization knowledge. In future work these emerging areas of data expertise will be prioritized and deepened in our curriculum and better articulated for application in data education more generally.
机译:LIS教育投入巨资劳动力开发用于数据服务的研究机构,但一些工作已经在公共图书馆和政府机构需要开放数据的能力来完成。开放数据素养(ODL)项目正在努力的学生们准备的基础设施建设,并通过推进数据组织整理数据科学课程,并在合作领域提供经验与城市和政府机构为市民策划和维持开放的数据资源。为了确定专业知识的学生需要满足员工的需求,我们正在研究面临的这些公共部门组织的当前数据的挑战。基于对学生的实地经验的第一年,我们发现,数据组织和访问,数据质量和数据可视化是整个网站所需能力的突出的领域。虽然这些地区捕获到一定程度上意味着目录“数据专长”现有的框架,我们发现更多的能力是必需的,特别是需要开发和下面的元数据标准,评价和使用的存储和云服务,API,法律和道德和公共部门,非盈利组织的知识。在今后的工作中的数据的专业知识,这些新兴领域将优先在我们的课程加深,更好地阐明对数据教育中的应用更普遍。

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