[ESIP-all] FW: AGU Session IN008: Data Curation, Credibility, Preservation Implementation, and Data Rescue to Enable Multi-Disciplinary Science

Kempler, Steven J. (GSFC-5860) steven.j.kempler at nasa.gov
Tue Jul 16 10:57:25 EDT 2013

Please consider submitting an abstract for the following Earth and Space Science Informatics session at the Fall 2013 AGU Meeting (December 9-13). Please note – the deadline for abstracts is 6 August 2013 at 23:59EDT/3:59+1 GMT. Our apologies for multiple postings.
Please  note the new rules from AGU starting this year: “First Author MUST be an AGU member. Non-members are no longer able to submit abstracts with an AGU member sponsor.”

Session IN08: Data Curation, Credibility, Preservation Implementation, and Data Rescue to Enable Multi-Disciplinary Science

This session invites contributions that focus on all aspects of data curation, with a focus on long-term credibility of datasets and experiences, lessons learned, and ongoing projects in preparing earth science data for long-term preservation, especially poorly curated, ‘dark’ data. We envision a broad range of topics from data management plans; examples of early career practitioners; data rescue initiatives; data preservation initiatives; ensuring  credibility through openness, completeness, permanence, and ease of access in processing/preparing datasets including documentation of uncertainty and data quality.
Since this is a session with a broad coverage, here are a few more details about the topics of interest:

1.       Curation: The need for data curators is now more critical than ever. In response, Earth science librarians, information specialists, data scientists, data engineers, and curators are developing pragmatic efforts and formal practices to address ever increasingly complex and voluminous data flows. This session showcases such and seeks to highlight the 'in-between' work of curation and informatics. Topics include Earth science data management plans; data curation need assessments with an eye toward trends in data science, and sustainability of both data and curation services. This session highlights Council of Library Information and Resources’ scholars and others to spur synergy between data curation support and researchers.

2.       Credibility: Long-term datasets are of high interest in climate change studies. Scientific studies, especially those affecting public policy, are required to have a high standard of credibility, including: 1. Transparency (openness) – free and open sharing of data and associated information; 2. Completeness – availability of all information needed to understand and reproduce results; 3. Permanence – preservation of bits, readability and understandability; and 4. Ease of access and use – facilitating discovery with appropriate metadata, interoperability, and standards.  This session covers how these topics are addressed in the processing/preparing datasets such as Earth Science Data Records, including derivation and documentation of uncertainty and data quality.

3.       Preservation Implementation: A key to every data archive is to ensure the long term preservation of its data holdings.  Into the information age, data archives are well prepared, or beginning preparations for how they will implement preservation of their data, and the identified decisions that are to be addressed.  Data producers, also face the same implementation questions so to best provide data and supporting documentation for preservation.  This session seeks those representing data archives and data producers who are preparing their data for long term preservation implementation, to describe concepts/approach, lessons learned, issues (and resolutions) faced, and status.  And for those just starting, issues, concerns and questions.

4.       Data Rescue and Multi-Disciplinary Science: As computational infrastructures have grown in capacity and connectivity, new opportunities are emerging for cross-disciplinary earth and space research at much larger scales, at higher resolutions, over longer time intervals and with greater complexity. The fourth paradigm of data intensive science is becoming reality, but limited by data accessibility. We invite contributions about data rescue initiatives that aim to bring poorly curated, ‘dark’ data sets that are often fragmented across multiple sources into the ‘light’ by converting them into cohesive, standardized collections and data sets that are stored on enduring physical infrastructures with sustainable funding.
We look forward to hearing from you and thank you for considering this opportunity to share your ideas.  Please forgive us if you receive multiple postings as we are distributing this announcement broadly to reach as many interested individuals as possible.
Session Conveners:
Dewayne Branch  (bdbranch at gmail.com<mailto:bdbranch at gmail.com>)
Kempler, Steven J. (steven.j.kempler at nasa.gov<mailto:steven.j.kempler at nasa.gov>)
H. K. “Rama” Ramapriyan (Rama.Ramapriyan at nasa.gov<mailto:Rama.Ramapriyan at nasa.gov>)
Kerstin Lehnert (lehnert at ldeo.columbia.edu<mailto:lehnert at ldeo.columbia.edu>)

Dr. H. K. “Rama” Ramapriyan
Assistant Project Manager
Earth Science Data and Information (ESDIS) Project
Code 423, NASA Goddard Space Flight Center
Greenbelt, MD 20771
Phone: (301)614-5356 (O); (240)678-0398 (cell); FAX: (301)-614-5267

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