The national research cyberinfrastructure (CI) ecosystem is essential to computational- and data-intensive research across all of 21st-century science and engineering (S&E). It’s driven by rapid advances in a wide range of technologies, increasing volumes of highly heterogeneous data and escalating demand by the research community.
Advancing Innovation with ACCESS
Research CI is a key catalyst for discovery and innovation. It plays a critical role in ensuring U.S. leadership in S&E, economic competitiveness and national security, consistent with the National Science Foundation’s mission. The NSF, through the Office of Advanced Cyberinfrastructure (OAC), has published a vision that calls for the broad availability and innovative use of an agile, integrated, robust, trustworthy and sustainable CI ecosystem that can drive new thinking and transformative discoveries in all areas of S&E research and education.
The NSF’s ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) program builds upon the successes of the 11-year XSEDE project, while also expanding the ecosystem with capabilities for new modes of research and further democratizing participation.
ACCESS will flourish through connectivity with a broadening spectrum of CI communities and other NSF programs such as Training-based Workforce Development for Advanced CI. It is exciting to see how many active CI communities, campus champions and research coordination networks have agreed to collaborate as integral partners of the ACCESS teams.
Manish Parashar, office director in the Office of Advanced Cyberinfrastructure at NSF
Acknowledging ACCESS
To ensure continued support for the NSF-funded cyberinfrastructure ecosystem, researchers are required to properly acknowledge the contribution of the ecosystem in their papers, presentations and other published works.
For activities after Sept. 1, 2022
If you performed the majority of your work on ecosystem resources after September 1, 2022, you should acknowledge the ACCESS program and the specific resources that you used.
This work used [resource-name] at [resource provider] through allocation [allocation number] from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.
For activities prior Sept. 1, 2022
If you performed the majority of your work on ecosystem resources prior to September 1, 2022, you should acknowledge the XSEDE project and the specific resources that you used.
Papers, presentations and other published works that feature work that relied on XSEDE resources, services or expertise should cite:
Towns, J, and T Cockerill, M Dahan, I Foster, K Gaither, A Grimshaw, V Hazlewood, S Lathrop, D Lifka, GD Peterson, R Roskies, JR Scott. “XSEDE: Accelerating Scientific Discovery”, Computing in Science & Engineering, vol.16, no. 5, pp. 62-74, Sept.-Oct. 2014, doi:10.1109/MCSE.2014.80
In addition please include the following acknowledgment and a sentence including the resources used along with your allocated project number:
This work used [resource-name] at [resource provider] through allocation [allocation project number] from the Extreme Science and Engineering Discovery Environment (XSEDE), which was supported by National Science Foundation grant number #1548562.
Those wishing to acknowledge support from XSEDE’s Extended Collaborative Support Service (ECSS) should cite the following publication:
Wilkins-Diehr, N and S Sanielevici, J Alameda, J Cazes, L Crosby, M Pierce, R Roskies. An Overview of the XSEDE Extended Collaborative Support Program. In: Gitler, I., Klapp, J. (eds). High-Performance Computer Applications. ISUM 2015. Communications in Computer and Information Science, vol 595. Springer, Cham. doi:10.1007/978-3-319-32243-8_1
and include the following acknowledgment with the appropriate substitutions:
We thank [consultant name(s)] for their assistance with [describe tasks such as porting, optimization, visualization, etc.], which was made possible through the XSEDE Extended Collaborative Support Service (ECSS) program.