ScholarLens Back to search
2011•Proceedings of the 2011 iConferenceRequires access

Data curation education in research centers

Carole L. Palmer, Suzie L. Allard, Mary R. Marlino

Open publisher page 14 citations

Abstract

New data skills are critical to the progress of 21st century science to ensure that data are properly selected and stored and can be readily discovered, accessed, and used over time. The Data Curation Education in Research Centers (DCERC) program will establish a model for data curation graduate education that enriches students learning and expertise through onsite training at a data intensive scientific research center. Doctoral students will conduct research and masters students will develop as professionals in the real world of research, guided by both science and data mentors. DCERC is also aligned with research and development activities in the current NSF DataNet projects, providing students with opportunities to interact with working groups and learn first-hand about R & D advances and outcomes.

About this research paper

What this paper is about

New data skills are critical to the progress of 21st century science to ensure that data are properly selected and stored and can be readily discovered, accessed, and used over time. The Data Curation Education in Research Centers (DCERC) program will establish a model for data curation graduate education that enriches students learning and expertise through onsite training at a data intensive scientific research center. Doctoral students will conduct research and masters students will develop as professionals in the real world of research, guided by both science and data mentors. DCERC is also aligned with research and development activities in the current NSF DataNet projects, providing students with opportunities to interact with working groups and learn first-hand about R & D advances and outcomes.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

New data skills are critical to the progress of 21st century science to ensure that data are properly selected and stored and can be readily discovered, accessed, and used over time. The Data Curation Education in Research Centers (DCERC) program will establish a model for data curation graduate education that enriches students learning and expertise through onsite training at a data intensive scientific research center. Doctoral students will conduct research and masters students will develop as professionals in the real world of research, guided by both science and data mentors. DCERC is also aligned with research and development activities in the current NSF DataNet projects, providing students with opportunities to interact with working groups and learn first-hand about R & D advances and outcomes.

Key concepts: Data curation, Research data, Computer science, Graduate education, Data science, Research center, Graduate students, Data center

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Data curation education in research centers — Research Paper | ScholarLens