Model Development for Scientific Data Curation Education

Abstract

The mounting and critical need for scientific data curation professionals was the impetus for the Data Curation Education in Research Centers (DCERC) program. DCERC is developing a sustainable and transferable model for educating Library and Information Science (LIS) students in data curation through field experiences in research and data centers. DCERC has established and implemented a graduate research and education program bringing students into the real world of scientific data curation, where they engage with current practices and challenges, and share their developing expertise and research. The DCERC partner institutions are developing and evaluating this model with the intention of scaling the program to a larger cadre of partners and participants. This paper reports on progress in the early phases of the model development.

Meeting Data Workforce Needs: Indicators Based on Recent Data Curation Placements

“…Insert personal or institutional copyright notice here.] employers, as part of the Data Curation Education in Research Centers (DCERC) initiative (Kelly, et al 2013;Palmer, Thompson, Mayernik, Williams, & Allard, 2014), provides a critical perspective of the evolving profession and the challenges and opportunities we face as educators.…”

Curadoria digital de dados científicos: pelo viés de um periódico

“…E por fim, no artigo de Kelly et al (2013), a necessidade crítica de profissionais para curadoria de dados científicos foi o impulso para o programa Data Curation Education in Research Centers (DCERC). Esse está desenvolvendo um modelo sustentável e transferível, para educar alunos de Biblioteconomia e Ciência da Informação, em curadoria de dados, por meio de experiências de campo em centros de pesquisa e de dados.…”

Confronting the expanse of data education: From local open data to global cyberinfrastructure

“…Significant efforts began in the mid 2000s, with formalized curriculum in data curation starting around 2006, soon followed by a range of other curricular efforts to build data expertise (Gold, ). Progress has been made establishing competencies in data literacy for critically evaluating, using, and managing data, as well as curriculum for research data management to support diverse research communities, including model internship programs to help prepare students for the data intensive research environment (Kelly et al, ; Ortiz‐Repiso, Greenberg, & Calzado‐Prado, 2018). Exploration continues on core competencies, skills gaps, and data science requirements for information professionals and librarians (Burton, Lyon, Erdmann, & Tijerina, ; Lyon & Brenner, ), as information schools simultaneously work to enrich and expand existing programs and curricula that invest in certain dimensions of the data acumen model (NASEM, 2018).…”