How would you give guidance or prioritize how to address gaps in the lifecycle of data acquisition, curation and preservation? Are there new programs or community opportunities? The Fir Group Kerstin Lehnert, John Graybeal, Dmitri Mozzherin, Vivian Hutchison, Giri Palanisamy, Eric Wolf, Ron Weaver, Jan Peters, Walt Snyder, Mary Marlino, Cheryl Morris, Benjamin D Branch, Steve Tessler, Lisa Raymond, Jeanine Aquino, Scott Jensen, Percy Donaghay, Dave Folker, Sze-Ling Celine Chan

Data Lifecycle  Acquisition – curation – preservation  Data lifecycle starts with PLANNING  Consider ‘use and re-use’ as part of the data lifecycle

Data Acquisition  Two different phases:  ‘Data Creation’: When the data are generated: field, lab, computation, …  ‘Data Gathering’: When the data hits the data system  What is the definition of the "data system"? Many data sources have a long path to the data system.  Difference between large science programs and small investigator-based projects  Legacy data vs.new data  historical data submitted to the data archive years later - need to develop/submit metadata after the fact

Data Acquisition Gaps  Standards for acquisition that make ingestion more efficient  Incentives to submit data to archive  Metadata that ensure proper use and reuse  Infrastructure, tools  Need to define metadata standards, etc that go across all disciplines vs domain specific metadata

Data Curation Gaps  Lack of ability to discover the data being curated  Best Practices  Standards, e.g. uniform metadata  Funding for metadata collection, coordination,  Communication process to gather requirements  Infrastructure  Ability to document provenance

Data Preservation Gaps  Funding for data preservation  Access to the ‘original’ (raw?) data  Access to software/algorithms used to process the data, i.e. metadata to reconstruct the data  metadata that help use of data and understanding the data  Ability to reuse data  harvest information from reuse/repurposing in other contexts  Add value to data during analysis and cycle that back to the archive for others to benefit  Repositories for data

How would you give guidance or prioritize how to address gaps in the lifecycle of data acquisition, curation and preservation? Are there new programs or community opportunities? The Fir Group

Guidance Needed  Plan  Partner with data management  Initial metadata in acquisition plan  Tools to assist with metadata entry & Data mgt plan  from funding agencies (or funding by them for development of guidance)  how to know what not to keep (since we can't keep everything)

Possible Steps  * Best data practice(s) award  * NSF program managers instruct all review panels to evaluate all proposals by DM plan, in such a way that reviewers realistically review DM resources  * Every data set has to have a DOI.  * Perform a community survey to determine what data lifecycle looks like in different disciplines

To The Cloud… 