Testimonials
– Gordon Bonan, National Center for Atmospheric Research (NCAR)Overall, the CI CoE was very proactive in enabling and advancing constructive conversations during the development of the NCAR-NEON cyberinfrastructure technical plan and in providing feedback that improved the quality of the plan. The CI CoE facilitated weekly telecons among NCAR, NEON, and the CI CoE to discuss the proposed project and to provide guidance. Discussions during the telecom were mostly high level, helping to identify needs and priorities for the cyberinfrastructure collaborations, but also identifying gaps in the technical plan as well as providing overviews of various alternative implementation strategies. The discussions were always constructive, collaborative, and respectful of all participants. The CI CoE also undertook written feedback on the technical plan at several stages of development. Again, the comments were constructive and improved the quality of the final document. The CI CoE’s engagement was critical to preparing the final technical plan, in part because of the CI CoE’s familiarity with NEON’s data cyberinfrastructure, but also as external computer science experts familiar with the computational needs of the modeling (NCAR) and the data (NEON) and serving to bridge the two different areas of expertise.
– Tom Gulbransen, NEONThe CI CoE had four types of profound influence on NEON developers. First, as we transitioned from construction to operations, our developers benefited from greater awareness of the wider NSF CI community practices. Second, deep engagement with CI CoE experts produced three major technologies insertions into NEON CI, remarkably within 6 months. Third, open dialog and prototyping with CI CoE experts affirmed our workflow-based sensor message handling strategy and built our confidence to invest in this novel method. NEON's CI and Data Sciences team mission includes advancing methods and ecological science; interaction with CI CoE nudged our efforts ahead significantly through community workgroup involvement, presentations and publications.
Training Opportunities
Source: XSEDE
Source: TACC
Source: TACC
Source: TACC
Source: XSEDE
Source: TACC
Source: TACC
Data Lifecycle within NSF Major Facilities
The CICoE Pilot project developed a data lifecycle (DLC) model that identifies specific stages
of the data flow within MFs – from scientific data collection to ultimate dissemination and use
of the data by scientists. The DLC model also captures the specific functions and services
offered at each DLC stage, the CI supporting each stage, and identifies CI and services that
span and impact multiple DLC stages. The DLC stages are composed of 1) data capture/collection,
2) data processing near the instrument(s), 3) data processing at a central location (data
center), 4) data storage, archiving, and curation, 5) data access, dissemination, and
visualization.
