TY - JOUR
T1 - Motivation and strategies for implementing digital object identifiers (DOIs) at NCAR's earth observing laboratory - Past progress and future collaborations
AU - Aquino, Janine
AU - Allison, John
AU - Rilling, Robert
AU - Stott, Don
AU - Young, Kathryn
AU - Daniels, Michael
N1 - Publisher Copyright:
© 2017 The Author(s).
PY - 2017
Y1 - 2017
N2 - In an effort to lead our community in following modern data citation practices by formally citing data used in published research and implementing standards to facilitate reproducible research results and data, while also producing meaningful metrics that help assess the impact of our services, the National Center for Atmospheric Research (NCAR) Earth Observing Laboratory (EOL) has implemented the use of Digital Object Identifiers (DOIs) (DataCite 2017) for both physical objects (e.g., research platforms and instruments) and datasets. We discuss why this work is important and timely, and review the development of guidelines for the use of DOIs at EOL by focusing on how decisions were made. We discuss progress in assigning DOIs to physical objects and datasets, summarize plans to cite software, describe a current collaboration to develop community tools to display citations on websites, and touch on future plans to cite workflows that document dataset processing and quality control. Finally, we will review the status of efforts to engage our scientific community in the process of using DOIs in their research publications.
AB - In an effort to lead our community in following modern data citation practices by formally citing data used in published research and implementing standards to facilitate reproducible research results and data, while also producing meaningful metrics that help assess the impact of our services, the National Center for Atmospheric Research (NCAR) Earth Observing Laboratory (EOL) has implemented the use of Digital Object Identifiers (DOIs) (DataCite 2017) for both physical objects (e.g., research platforms and instruments) and datasets. We discuss why this work is important and timely, and review the development of guidelines for the use of DOIs at EOL by focusing on how decisions were made. We discuss progress in assigning DOIs to physical objects and datasets, summarize plans to cite software, describe a current collaboration to develop community tools to display citations on websites, and touch on future plans to cite workflows that document dataset processing and quality control. Finally, we will review the status of efforts to engage our scientific community in the process of using DOIs in their research publications.
KW - Data management
KW - Data stewardship
KW - Digital object identifiers (dois)
KW - Persistent identifiers
KW - Reproducibility
UR - https://www.scopus.com/pages/publications/85017316676
U2 - 10.5334/dsj-2017-007
DO - 10.5334/dsj-2017-007
M3 - Article
AN - SCOPUS:85017316676
SN - 1683-1470
VL - 16
JO - Data Science Journal
JF - Data Science Journal
M1 - 7
ER -