A Roadmap for LIMS at NIST Material Measurement Laboratory

Published

April 11, 2022

Author(s)

Gretchen Greene, Jared Ragland, Zachary Trautt, June W. Lau, Raymond Plante, Joshua Taillon, Adam Abel Creuziger, Chandler A. Becker, Joe Bennett, Niksa Blonder, Lisa Borsuk, Carelyn E. Campbell, Adam Friss, Lucas Hale, Michael Halter, Robert Hanisch, Gary R. Hardin, Lyle E. Levine, Samantha Maragh, Sierra Miller, Chris Muzny, Marcus William Newrock, John Perkins, Anne L. Plant, Bruce D. Ravel, David J. Ross, John Henry J. Scott, Christopher Szakal, Alessandro Tona, Peter Vallone

Abstract

Instrumentation generates data faster and in higher quantity than ever before, and interlaboratory research is in historic demand domestically and internationally to stimulate economic innovation. Strategic mission needs of the NIST Material Measurement Laboratory (MML) to support a wide array of research disciplines therefore compel our organization to adopt advanced strategies for research data management. Laboratory Information Management Systems (LIMS) provide a framework for managing data from the outset of the research life cycle delivering new capabilities for machine learning, data analysis, collaboration, and dissemination. This roadmap describes our current understanding and strategy for adapting our research workflows for LIMS throughout MML by embracing the use of standards and best practices from data science communities. The NIST research data cyber infrastructure complements these goals for MML by providing a secure environment to host LIMS solutions. Additionally, integration of scientific workflows requires ongoing collaboration to bridge organizational LIMS with external scientific communities. Thus, MML LIMS will evolve overtime in synergy with the technology and experimental environments delivering new science. LIMS will broaden our mission impact through adoption of FAIR data principles.

Citation

Technical Note (NIST TN) - 2216

Report Number

2216

NIST Pub Series

Technical Note (NIST TN)

Pub Type

NIST Pubs

Download Paper

https://doi.org/10.6028/NIST.TN.2216

Local Download

Keywords

Data, Laboratory Information Management Systems, Experimental Data, Research Data, Research Workflows

Citation

Greene, G. , Ragland, J. , Trautt, Z. , Lau, J. , Plante, R. , Taillon, J. , Creuziger, A. , Becker, C. , Bennett, J. , Blonder, N. , Borsuk, L. , Campbell, C. , Friss, A. , Hale, L. , Halter, M. , Hanisch, R. , Hardin, G. , Levine, L. , Maragh, S. , Miller, S. , Muzny, C. , Newrock, M. , Perkins, J. , Plant, A. , Ravel, B. , Ross, D. , Scott, J. , Szakal, C. , Tona, A. and Vallone, P. (2022), A Roadmap for LIMS at NIST Material Measurement Laboratory, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2216, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934610 (Accessed April 29, 2024)