Meeting title: Big Data - Where Do We Stand?
Please give a short introduction describing the activities and the scope of the group
The goal of RDA Big Data Interest Group is to produce a set of recommendation documents to advise diverse research communities with respect to:
- How to select an appropriate Big Data solution for a particular science application with optimal value? and
- What are the best practices in dealing with various data and computing issues associated with such a solution?
In order to achieve our mission, we need to attain the following objectives:
- Clarifying, and sometimes defining, terminologies related to Big Data.
- Characterizing leading Big Data technologies.
- Collaborating with external entities through IG member involvements.
- Producing a set of recommendation documents based on results obtained from activities in attaining above objectives.
Please provide additional links to informative material related to your group i.e. group page, Case statement, working documents etc
- NIST Big Data Use Cases: http://bigdatawg.nist.gov/usecases.php
- EarthServer Big Data Use Cases: http://www.earthserver.eu/Services
- OGC Big Data Domain Working Group: http://external.opengeospatial.org/twiki_public/BigDataDwg/
Please list the meeting objectives
- to discuss the group's view on Big Data, and how the IG can contribute overview and insight
- to establish concrete steps, with assigned process owners, to advance these goals
- to discuss synergies with further RDA groups
- IG Bi Data: the Big Picture (Lesley Wyborn)
- IG Status: Where do we stand? (Kwo-Sen Kuo)
- technical contributions (tbd)
Audience: Please specify who is your target audience and how they should prepare for the meeting
- Domain scientists wishing to utilize Big Data solutions for their research and/or applications,
- Data specialists with experience in data production, curation, analysis, and management, especially involving large volumes and varieties of data,
- Computational scientists or software engineers with special interests in data analysis techniques and algorithm analysis, especially pertaining to Big-Data-relevant technologies and tools,
- Experts, or aspiring experts, of various Big Data technologies and tools,
- Computational infrastructure and architecture experts in fields such as distributed computing, high-performance computing, and database systems,
- Data scientists with a blended interest involving some subsets the activities mentioned above, in partcular with share, use, and reuse of open scientific data collections, and
- Managers involved in any combination of the activities mentioned above.
Group chair serving as contact person: Kwo-Sen Kuo