University of Hertfordshire researcher development - research data management
OneBookHigher_poster_ver7
1. “Product Lifecycle Management and the Digital Curation Lifecycle”
Le Zhang, Jiahui Cai, Nicholas J. Castelluci, Roselyn A. Luhur, Michael Witt, Purdue University, West Lafayette, Indiana, USA
Distributed Data Curation Center
DDCC2 2
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Figure 6. Mapping PLM study interview to DCP
Figure 2. LOTAR data flowchart
Figure 3. Overview of EN/NAS 9300 standardFigure 1. Product Lifecycle Management
Figure 4. PLM process in PTC Windchill
Figure 5. PLM process in Siemens Teamcenter
REFERENCES
Ally PLM. (2015). Managing Data with Teamcenter. Retrieved April
06, 2016, from https://www.youtube.com/watch?v=SkXcb7Yah30
LOTAR International. (2015). LOng Term Archiving and Retrieval -
LOTAR. Retrieved March 2, 2016, from http://www.lotar-internation-
al.org/
Shaw, S. (2011). Best Practices for Working with CAD and Product
Structures.
Witt, M., Carlson, J., Brandt, D. S., & Cragin, M. H. (2009). Con-
structing data curation profiles. International Journal of Digital Cura-
tion, 4(3), 93-103.
Le Zhang (zhan1255@purdue.edu)
Graduate Research Assistant, D2C2
Jiahui Cai (cai95@purdue.edu)
Research Intern, D2C2
Nicholas J. Castellucci (ncastel@purdue.edu)
Research Intern, D2C2
Roselyn A. Luhur (rluhur@purdue.edu)
Research Intern, D2C2
Michael Witt (mwitt@purdue.edu)
Associate Professor of Library Science
ABSTRACT
The complexity of capturing, managing and fu-
ture-proofing product data where requirements for
supporting data may outlast the software environ-
ment that produced product data. In this study, we
compare the research data lifecycle to the product
lifecycle and emerging standards and practices
from academic and research library community to
industry. We seek to identify practices, tools, poli-
cies, standards, and approaches from Product
Lifecycle Management (PLM) in industry that
would benefit digital curation in archives and
libraries, and visa-versa. An ancillary goal of the
study is to test Data Curation profile (DCP) ap-
proach to determine data needs for product data in
industry. An interview, which is structured based
on DCP, will be conducted in industry companies
to explore the archiving and retrieval practic-
es/challenges and how product information (data
files, metadata, documentation, provenance, etc.)
need to be bounded for archiving. This poster
presents 1) an overview of the product lifecycle;
2) how data flows into and out of an archive in the
LOTAR model; 3) the organization of the
EN/NAS 9300 standard and LOTAR Working
Group outputs; 4) PLM processes implemented in
PTC Windchill and 5) Siemens Teamcenter; and
6) how the study’s interview protocol maps to the
Data Curation Profile. The ultimate goal is to
identify and scope gaps in product data curation
by mapping industrial standards, practices, and
tools from profiles to library and archival, and
report to PLM Center and dissemination at rele-
vant conferences.