Download presentation
Presentation is loading. Please wait.
Published byScott Damon Franklin Modified over 9 years ago
1
Data Management Working Group Kathy Hibbard, Peter Griffith, Lucia Woo, Diane Wickland, Michael Keller, Riley Duren, Marc Fisher, Molly Brown, Kevin Bowman, George Hurtt, Megan McGroddy, Libby Larson, Lisamarie Wyndham-Myers, Leslie Ott, Arlyn Andrews
2
Discussion Assessment of existing data: – Ongoing work: Developing a product (to complement project) CMS page – Preferred data format survey to stakeholders’ responses in process (excel) – Identify various short-term (e.g., snapshot) versus trend assessment and long-term data management options – Re: data selection – take advantage of DOI: e-doc ID system – Predictions and projections of CMS data record – Agreed that goal is not to federate, but develop portals with metadata as an intermediate step
3
Discussion Development of visualization tools that can leverage from others (e.g., FFDAS, VULCAN, others) for CMS applications A significant challenge will be data management of data products that are readily accessible and available. Speaks to stakeholder needs: from derived (e.g., MD DNR) to data requirements on very short term (e.g., State, CEQ) Data management closely tied to many other cross-cutting WG’s: e.g., Framework, Uncertainty, External Communication
4
Discussion Discuss consistency issues (e.g., scale) as well as documentation for QA/QC – It is not consistent with NASA policy to hold data or data products that have been through QC until they have been published. – Some CMS data have disciplinary QC, but there is no pre-defined structure or strategy for verification/validation/evaluation for the cross-cutting nature of CMS data, esp for stakeholder needs – How to adopt a standard for CMS: clearly there will be different tiers, or levels, standards and requirements for different needs – silver, gold, platinum branding – Consider a cal/val solicitation in 2016 – Suggestion to adapt CMS standards by data type: Biomass, atmosphere, ocean, data fusion, etc., for appropriate level of QC Data management is COSTLY and before we start investing a lot of time and money and loading PI's with unfunded mandates, we need to carefully consider a cost-benefit analysis.
5
Action Items Monthly telecons to sort through issues as/before they occur: e.g., some 2012 data “DAAC-ready”, some data no longer generated but need to be accounted for Historical decision for individual institutional archive by project – will begin to synthesize: – Some are already building CMS data portals from top down (Riley) and bottom up (Molly/Lucia). – Proposed January update from Molly on Product (to complement current Project) CMS website data description
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.