United States Government Publishing Office publisher pbl distributor dst United States Commerce Department National Institute of Standards and Technology (NIST) author aut Government Organization Greene, Gretchen. author aut text government publication eng GOVPUB Executive Agency Publications executive 2023-10-27 Commerce Department 2022-04-11 monographic deposited born digital 23 digital object pages C 13. https://www.govinfo.gov/app/details/GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a P0b002ee1c1bb3d9c on1389890350 (OCoLC)1389890350 DGPO 2023-10-27 2026-06-27 GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a machine generated eng fdlp C13 GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a 4e6d431355e25cc0cbd479a8462f800a GOVPUB NIST Technical Notes NOTE: THE “DATE ISSUED” ABOVE MAY DEFAULT TO JANUARY 1ST OF A GIVEN YEAR. TO THE VIEW THE MOST ACCURATE DATE OF ISSUE, REVIEW THE TITLE PAGE OF THE PUBLICATION. Studies or reports which are complete in themselves but restrictive in their treatment of a subject. Analogous to monographs but not so comprehensive in scope or definitive in treatment of the subject area. Often serve as a vehicle for final reports of work performed at NIST under the sponsorship of other government agencies. National Institute of Standards and Technology Commerce Department. National Institute of Standards and Technology. 2022 2022-04-11 https://www.govinfo.gov/app/details/GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a https://www.govinfo.gov/content/pkg/GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a/pdf/GOVPUB-C13-4e6d431355e25cc0cbd479a8462f800a.pdf Data Data processing Experimental data Laboratory information management systems Quantitative research Research data Research workflows Greene, Gretchen. creator Greene, Gretchen. Ragland, Jared. Trautt, Zachary. Lau, June. Plante, Raymond. Taillon, Joshua. Creuziger, Adam. Becker, Chandler. Bennett, Joseph. Blonder, Niksa. Borsuk, Lisa. Campbell, Carelyn. Friss, Adam. Hale, Lucas. Halter, Michael. Hanisch, Robert. Hardin, Gary. Levine, Lyle. Maragh, Samantha. Miller, Sierra. Muzny, Christopher. Newrock, Marcus. Perkins, John. Plant, Anne. Ravel, Bruce. Ross, David. Scott, John Henry. Szakal, Chris. Tona, Alessandro. Vallone, Peter. National Institute of Standards and Technology (U.S.) Material Measurement Laboratory mdu U.S. Dept. of Commerce, National Institute of Standards and Technology 2022-04-11. monographic 1 online resource (23 pages) : illustrations (color) text technical report eng 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. Gretchen Greene; Jared Ragland; Zachary Trautt; June Lau; Raymond Plante; Joshua Taillon; Adam Creuziger; Chandler Becker; Joseph Bennett; Niksa Blonder; Lisa Borsuk; Carelyn Campbell; Adam Friss; Lucas Hale; Michael Halter; Robert Hanisch; Gary Hardin; Lyle Levine; Samantha Maragh; Sierra Miller; Christopher Muzny; Marcus Newrock; John Perkins; Anne Plant; Bruce Ravel; David Ross; John Henry Scott; Chris Szakal; Alessandro Tona; Peter Vallone. April 2022. Title from PDF title page (viewed January 4, 2023). Includes bibliographical references. Approved by the NIST Editorial Review Board on 2022-04-10 Mode of access: World Wide Web. Systems requirements: Adobe Acrobat PDF reader. Quantitative research Data processing Data Laboratory information management systems Experimental data Research data Research workflows https://doi.org/10.6028/NIST.TN.2216 A