Meeting title
Data Rescue: Determining data sets that are at risk and prioritizing their rescue (Remote Access Instructions)
Collaborative session notes:
https://docs.google.com/document/d/1IGlCy0MhU1wcto1EIg0TG-OjkvCa2TVrq8M4...
Short introduction describing the scope of the group and if any previous activities
The topic of Data Rescue has recently had increased media attention originating from reports that scientific data and documentation were at risk of being removed from government websites. In response the RDA Data Rescue IG now covers both:
- Data Rescue which seeks to recover older datasets and metadata from the trappings of dated media and recording hardware
- Data-at-Risk which seeks to identify data sets that need to be preserved and/or replicated anticipating changes in curation personnel and evolving technologies, so that they are always available as a global resources for future research, particularly research that involves longitudinal aspects.
For practical purposes, 2017 saw a reenergized use of the term ‘data rescue’ as it was redefined by a number of new grass-roots initiatives that sought to recover unique and historic records, particularly where there is no other source of observations to cover those timespans. Thanks to these recent efforts, there is now a renewed sense of urgency to develop a catalogue of methods used and lessons learned from projects/stories that succeeded, are in process and especially those that failed.
For Data-at-Risk, numerous recent reports of "data rescue" and "guerrilla archiving" events focused on copying Earth science data generated and held by US federal agencies have shown that data rescue/preservation initiatives can be better informed by the development of agreed-upon benchmarks to identify, define and communicate data that is genuinely at risk.
Improved liaison with groups defining data preservation standards will improve prioritization to ensure that the right datasets are properly preserved. This effort requires perspectives from Domain experts, Rescuers, Librarians and Repositories on successful preservation and subsequent sustainability of data-at-risk in a collaborative environment.
Additional links to informative material related to the group
Data Rescue IG Home Page: https://rd-alliance.org/groups/data-rescue.html
Case Statement: https://rd-alliance.org/group/data-rescue/case-statement/data-rescue-int...
Past Plenaries:
10th Plenary IG Montreal: https://www.rd-alliance.org/ig-data-rescue-rda-10th-plenary-meeting
9th Plenary IG Barcelona: https://www.rd-alliance.org/ig-data-rescue-rda-9th-plenary-meeting
https://www.rd-alliance.org/rda-9th-plenary-joint-meeting-ig-data-rescue...
8th Plenary IG Denver: https://rd-alliance.org/ig-data-rescue-rda-8th-plenary-meeting
7th Plenary IG Tokyo: https://rd-alliance.org/joint-meeting-ig-data-rescue-ig-data-fabric-ig-p...
6th Plenary IG Paris: https://rd-alliance.org/ig-data-rescue-p6-joint-session.html
Meeting objectives
The objectives are to provide RDA members with insights into the activities of the Data Rescue IG as well as opportunities to engage, including presentations by the two Data Sharing Fellows (Alia Khan and Morgan Currie). The existing case statement will be reviewed to determine if it needs revising due to changes in directions of data rescue activities globally which include synergistic activities with ESIP's Data Stewardship and a revival of DARTG within CODATA.
Meeting agenda
0 - 10 Minutes Introduction and tour de table:
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10 - 40 min Minutes Data Rescue
10 - 25 min Presentation by Data Sharing Fellows (Alia Khan)
20 - 45 min Discussion
40 - 75 min Data at Risk
45 - 50 min Creating and Populating a Data-at-Risk Catalogue: Data Sharing Fellow (Morgan Currie)
50 - 55 min Related activities within ESIP / Data Stewardship Cluster (M. Mayernick)
55 - 60 min Practical considerations for the revival of DARTG within CODATA
60 – 80 min Working group breakouts to discuss identified topics and converge on a strategy to address actionable issues raised during the session.
75 – 90 min General discussion on revisiting the case statement, conclusions and next steps
Target audience:
Since Data Rescue involves so many individual disciplines and data domains, anyone is welcome to attend particularly if they know of a data set that is need of rescue: there is no preparation required.
Group chair serving as contact person: Stephen Diggs
Type of meeting: working meeting
Group maturity: more than 18 months
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