Earth Science Data Analytics 201
The continuum of ever-evolving data management systems presents continuous challenges to the enhancement of knowledge and facilitation of science. To overcome these challenges, it is essential to understand and develop methods that enable data relationships to be examined and information to be manipulated.
Come join the Earth Science Data Analytics (ESDA) cluster in our quest to decipher the different types of data analytics, generate definitions (in terms of Earth science), collect use cases, and eventually analyze tools unique to the different types of data analytics. The ultimate goal is to perform gap analysis and provide recommendations to the community. Are you interested in helping to guide the future of information analysis?
Getting back to the ESDA Home Page: http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics
Thanks to all in attendance. After a well attended Earth Scence Data Analysis (ESDA) 'introduction' session (http://commons.esipfed.org/node/2724), ESDA 201 session identified actions in support of addressing ESDA cluster goals, In identifying tasks, several cluster participants signed up to contribute their time on behalf of accomplishing these tasks. After reading the following notes, we hope you are moved to be willing and able to donate some time to this interesting topic. If so, please contact Steve Kempler ([email protected],gov). No inputs are too big or too small.
- To Plan out the next 6(+) months of ESIP ESDA work
-- Generate a library of ESDA Use Cases
-- Complete the ESDA Use Case/Tools/Techniques, etc. matrix
Tools/Services for: Preparation are fairly generic; Reduction, and especially Analysis, are very specific research dependent (and, thus difficult for us to address without science domain expertise)
Introduced for future consideration: If we do a good job on the use case library, can draw conclusions on how we can best serve data analytics to the user community, and feel we can provide gidance for technologists... well maybe we have a paper to publish.
Data Analytics Theme
It appears that the theme for the Summer ESIP Meeting may very well be focused on Earth Science Data Analytics. So... guess which cluster will be stepping up to make this happen. Discussion included:
- What should be the focus: Taking from the 'What's New About Big Data', suggestion was: 'What enables us to further the use of data analytics techiques and methods'. Or: 'How do we enable developers'. Or: 'Societal Benefits'. Or: 'Adding Value of Data Analytics to Tools'
- It was pointed out that, being on the west coast may make it easier to get data analytics experts, many located on the left coast, to discuss their expereince and expertise in utilizing data analytics.
Steve - Set up a Google Doc: Provide a set of definitions for needed use case information, for Cluster discussion. Study NIST use case library for ideas. See: http://bigdatawg.nist.gov/usecases.php)
Active Participants - Provide feedback in Google Doc. Further discuss at next telecon.
All Other Participants - E-mail Steve ([email protected]) if you wish to be more active and provide feedback to the Googls Doc
Steve - Look at how themes were reflected in past ESIP Meeting agendas. Report back to group.
All - For next telecon, prepare to discuss ESDA theme for next ESIP Meeting: Focus of theme, who can we invite as speakers, which other clusters have some relation to the usage of data analytics