Creating an integrated collaborative environment for materials research
Source abstract
Abstract
This paper describes the creation of a cyberinfrastructure to facilitate collaborative materials research in a laboratory environment that supports the discovery, development, and sustainment of materials and processing solutions. The infrastructure provides a web-based interface supporting group and project spaces within which researchers can easily organize, share, and collaborate on the results of their experimental and computational efforts. It seamlessly connects researchers with experimental and computational resources for easy generation, collection, and storage of digital data to provide instant access to results with no intermediate transfers. Persistent identifiers and metadata tagging are used to ensure historical research data are discoverable, interpretable, and reusable. The architecture is designed to be modular and agile and is based on federation of both applications and data through a central service bus that brokers all transactions. It is comprised of a number of open-source, commercial, and non-commercial software packages that provide the specific functionality needed to meet the large number of system requirements. This collaborative environment is essential to enabling a large research organization to conduct a research program consistent with the discipline of Integrated Computational Materials Engineering by allowing the seamless connection of experiment to model through pedigreed digital data with complete provenance.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Data Storage Technologies · Scientific Computing and Data Management · Distributed and Parallel Computing Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. Committee on Integrated Computational Materials Engineering (2008) Integrated Computational Materials Engineering: a transformational discipline for improved competitiveness and national security. National Academies Press, Washington, DC
2. The White House (2015) The Materials Genome Initiative for industrial competitiveness. http://www.whitehouse.gov/mgi. Accessed 17 Dec 2015
3. Gibbon GA (1996) A brief history of LIMS. Laboratory Automation and Information Management 32:1–5. doi: https://doi.org/10.1016/1381-141X(95)00024-K10.1016/1381-141X(95)00024-K ↗
4. Taylor KT (2006) The status of electronic laboratory notebooks for chemistry and biology. Current Opinion in Drug Discovery & Development 9(3):348–353
5. Hanisch RJ, Berriman GB, Lazio TJW, Emery Bunn S, Evans J, McGlynn TA, Plante R (2015) The virtual astronomical observatory: re-engineering access to astronomical data. Astronomy and Computing 11B:190–209. doi: https://doi.org/10.1016/j.ascom.2015.03.00710.1016/j.ascom.2015.03.007 ↗
6. Klimeck G, McLennan M, Brophy SP, Adams GB III, Lundstrom MS (2008) nanoHUB.org: advancing education and research in nanotechnology. Comput Sci Eng 10:17–23. doi: https://doi.org/10.1109/MCSE.2008.12010.1109/MCSE.2008.120 ↗
7. Goff SA, Vaughn M, McKay S et al (2011) The iPlant Collaborative: cyberinfrastructure for plant biology. Frontiers in plant science 2(34):1–16. doi: https://doi.org/10.3389/fpls.2011.0003410.3389/fpls.2011.00034 ↗
8. McLennan M, Kennel R (2010) HUBzero: a platform for dissemination and collaboration in computational science and engineering. Comput Sci Eng 12 48(2):48–53. doi: https://doi.org/10.1109/MCSE.2010.4110.1109/MCSE.2010.41 ↗
9. NEEShub (2015) https://doi.org/nees.org/ . Accessed 17 Dec 2015.
10. Kuriyan K, Catlin AC, Reklaitis GV (2009) pharmaHUB: building a virtual organization for pharmaceutical engineering and science. Journal of Pharmaceutical Innovation 4(2):81–89. doi: https://doi.org/10.1007/s12247-009-9061-710.1007/s12247-009-9061-7 ↗
11. University of Illinois. (2015) KnowEnG. https://doi.org/knoweng.org/ . Accessed 17 Dec 2015.
12. MyGeoHUB (2015) https://doi.org/mygeohub.org/ . Accessed 17 Dec 2015.
13. Cebon D, Ashby MF (2006) Engineering materials informatics. MRS Bulletin 31:1004–1012. doi: https://doi.org/10.1557/mrs2006.22910.1557/mrs2006.229 ↗
14. Ward CH, Warren JA, Hanisch RJ (2014) Making materials science and engineering data more valuable research products. Integrating Materials and Manufacturing Innovation 3:22. doi: https://doi.org/10.1186/s40192-014-0022-810.1186/s40192-014-0022-8 ↗
15. Boyce DE, Dawson PR, Miller MP (2009) The design of a software environment for organizing, sharing, and archiving materials data. Metall and Mat Trans A 40(10):2301–2318. doi: https://doi.org/10.1007/s11661-009-9889-y10.1007/s11661-009-9889-y ↗
16. University of Michigan. (2015) PRISMS project. https://doi.org/prisms-center.org/#/home . Accessed 17 Dec 2015.
17. University of Illinois. (2015) T2C2: Timely and Trusted Curation and Coordination. https://doi.org/t2c2.csl.illinois.edu/ . Accessed 17 Dec 2015.
18. Kleese van Dam K, Carson JP, Corrigan AL, Einstein DR, Guillen ZC, Heath BS, Kuprat AP, Lanekoff IT, Lansing CS, Laskin J, Li D, Liu Y, Marshall MJ, Miller EA, Orr G, Pinheiro da Silva P, Ryu S, Szymanski CJ, Thomas M (2013) Velo and REXAN—integrated data management and high speed analysis for experimental facilities. In: 8th IEEE International Conference on EScience 2012. IEEE Press, Washington, DC, pp 1–9. doi: https://doi.org/10.1109/eScience.2012.640446310.1109/eScience.2012.6404463 ↗
19. Carey NS, Budavári T, Daphalapurkar N, Ramesh KT (2016) Data integration for materials research. Integrating Materials and Manufacturing Innovation 5:7. doi: https://doi.org/10.1186/s40192-016-0049-010.1186/s40192-016-0049-0 ↗
20. Fielding RT (2000) Chapter 5: representational state transfer (REST), Architectural styles and the design of network-based software architectures (Ph.D.). University of California, Irvine
21. Django Software Foundation (2016) Django project. https://doi.org/www.djangoproject.com . Accessed: 17 Dec 2015
22. Puchala B, Tarcea G, Marquis EA, Hedstrom M, Jagadish HV, Allison JE (2016) The Materials Commons: a collaboration platform and information repository for the global materials community. JOM 68. doi: https://doi.org/10.1007/s11837-016-1998-7 .10.1007/s11837-016-1998-7 ↗
23. Kwok Cheung K, Drennan J, Hunter J (2009) Towards an ontology for data-driven discovery of new materials. IEEE Intelligent Systems 24(1):47–56. doi: https://doi.org/10.1109/MIS.2009.1310.1109/MIS.2009.13 ↗
24. HUBzero Foundation. (2015) HUBzero® https://doi.org/hubzero.org/ . Accessed 17 Dec 2015.
25. MongoDB, Inc. (2016) MongoDB, https://doi.org/www.mongodb.org/ . Accessed 26 Jan 2016.
26. MTS Systems Corporation. (2015) EchoTM. https://doi.org/www.mts.com/en/products/producttype/test-components/software/Echo/ . Accessed 17 Dec 2015.
27. Plotly (2015) https://doi.org/plot.ly/ . Accessed 17 Dec 2015.
28. Groeber MA, Jackson MA (2014) DREAM. 3D: a digital representation environment for the analysis of microstructure in 3D. Integrating Materials and Manufacturing Innovation 3(5). doi: https://doi.org/10.1186/2193-9772-3-510.1186/2193-9772-3-5 ↗
29. OpenID® (2015) OpenID Connect. https://doi.org/openid.net/connect/ . Accessed 17 Dec 2015.