Assessing Stewardship Maturity of the Global Historical Climatology Network-Monthly (GHCN-M) Dataset: Use Case Study and Lessons Learned

Authors: Ge Peng, Jay Lawrimore, Valerie Toner, Christina Lief, Richard Baldwin, Nancy Ritchey, Danny Brinegar, Stephen A. Del Greco

 

Abstract: Assessing stewardship maturity — the current state of how datasets are documented, preserved, stewarded, and made accessible publicly — is a critical step towards meeting U.S. federal regulations, organizational requirements, and user needs. The scientific data stewardship maturity matrix (DSMM), developed in partnership with NOAA’s National Centers of Environmental Information (NCEI) and the Cooperative Institute for Climate and Satellites-North Carolina (CICS-NC), provides a consistent framework for assessing stewardship maturity of individual Earth Science datasets and capturing justifications for transparency. The consolidated stewardship maturity information will allow users and decision-makers to make informed use decisions based on their unique data needs. This DSMM was applied to a widely utilized monthly-land-surface-temperature dataset derived from the Global Historical Climatology Network (GHCN-M). This paper describes the stewardship maturity ratings of GHCN-M version 3 and provides actionable recommendations for improving the maturity of the dataset. The results from the use case study show that an application of DSMM like this one is useful to people who produce or care for digital environmental datasets. Assessments can identify the strengths and weaknesses of an individual dataset or organization’s preservation and stewardship practices, including how information about the dataset is integrated into different systems.

 

Citation: Peng, G., Lawrimore, J., Toner, V., Lief, C., Baldwin, R., Ritchey, N., . . . Greco, S. A. (2016). Assessing Stewardship Maturity of the Global Historical Climatology Network-Monthly (GHCN-M) Dataset: Use Case Study and Lessons Learned. D-Lib Magazine, 22(11/12). doi.org/10.1045/november2016-peng

 

VIEW

 

A Data Citation Roadmap for Scholarly Data Repositories

Authors: Martin Fennera, Merce Crosasb, Jeffrey S. Grethec, David Kennedy, Henning Hermjakobe, Phillippe Rocca-Serraf, Robin Berjong, Sebastian Karcherh, Maryann Martonei, Tim Clark

 

Abstract: This article presents a practical roadmap for scholarly data repositories to implement data citation in accordance with the Joint Declaration of Data Citation Principles (Data Citation Synthesis Group, 2014), a synopsis and harmonization of the recommendations of major science policy bodies. The roadmap was developed by the Repositories Early Adopters Expert Group, part of the Data Citation Implementation Pilot (DCIP) project (FORCE11, 2015), an initiative of FORCE11.org and the NIH BioCADDIE (2016) program. The roadmap makes 11 specific recommendations, grouped into three phases of implementation: a) required steps needed to support the Joint Declaration of Data Citation Principles, b) recommended steps that facilitate article/data publication workflows, and c) optional steps that further improve data citation support provided by data repositories.

 

Citation: Fenner, M., Crosas, M., Grethe, J., Kennedy, D., Hermjakob, H., Rocca-Serra, P., … Clark, T. (2016). A Data Citation Roadmap for Scholarly Data Repositories. bioRxiv. https://doi.org/10.1101/097196

 

VIEW

 

Research Data Services in Academic Libraries: Data Intensive Roles for the Future?

Authors: Carol Tenopir, Dane Hughes, Suzie Allard, Mike Frame, Ben Birch, Lynn Baird, Robert Sandusky, Madison Langseth, and Andrew Lundeen

 

Abstract: Objectives: The primary objectives of this study are to gauge the various levels of Research Data Service academic libraries provide based on demographic factors, gauging RDS growth since 2011, and what obstacles may prevent expansion or growth of services.Methods: Survey of academic institutions through stratified random sample of ACRL library directors across the U.S. and Canada. Frequencies and chi-square analysis were applied, with some responses grouped into broader categories for analysis.

Results: Minimal to no change for what services were offered between survey years, and interviews with library directors were conducted to help explain this lack of change.

Conclusion: Further analysis is forthcoming for a librarians study to help explain possible discrepancies in organizational objectives and librarian sentiments of RDS.

 

Citation: Tenopir, C, Hughes, D, Allard, S, Frame, M, Birch, B, Baird, L., Sandusky, R, Langseth, M, & Lundeen, A (2015) Research Data Services in Academic Libraries: Data Intensive Roles for the FutureJournal of eScience Librarianship 4(2): e1085. http://dx.doi.org/10.7191/jeslib.2015.1085

 

VIEW

 

Data Curation and the Arts: How Do Musicians Curate Their Data?

Authors: Amy S. Jackson, Jonathan Wheeler, Todd Quinn

 

Abstract: Professional musicians were surveyed to determine how personal, amateur recordings of performances are shared with students and colleagues. Sharing files on social media is common, with Facebook, YouTube, and Vimeo used most frequently. Although these are popular social media platforms, they do not have enhanced format support and robust metadata. Additionally, licensing terms for each platform differ, and may be not in the best interest of the musician. Although recordings are not traditionally considered data, data curation principles can be applied to these types of files, and the library is positioned to become an active participant in this process.

 

Citation: Jackson, A. S., Wheeler, J., & Quinn, T. (2016). Data Curation and the Arts: How Do Musicians Curate Their Data? Music Reference Services Quarterly, 19(3–4), 191–207. http://digitalrepository.unm.edu/ulls_fsp/115/

 

VIEW