ISE Media Center
Hello, my name is Kshemendra Paul and I am the program manager for the information sharing environment 0:11our mission is to improve the sharing and safeguarding and information across 0:15the whole government we work in the Nexus a public safety and national 0:19security 0:20a key issue is how do you share information aggregated 0:24sometimes known as Big Data are you poll data sets together in a way that 0:28protects information security protects the privacy a 0:32individuals that might be represented in that information but allows for 0:37efficient and effective sharing and developing inside three analytics 0:40I'm proud to announce that we're publishing now 0:44data aggregation reference architecture which is developed over many years 0:48across the federal government 0:49the really represents a compendium a best practices 0:53and provides a roadmap for agencies about how to do big data 0:58how to effectively share information aggregated to get inside 1:05target audiences for the DAR the data aggregation reference architecture are 1:09federal agencies programs a record across the federal government where 1:14data the sensor being aggregated to develop 1:18inside to take action to protect the American people and enhance national 1:21security 1:25aside from our federal partners were also looking to provide the DAR 1:28the to you our partners and industry to lay out a roadmap for the programs where 1:33they'll be selling products and services 1:36we think it's important to have a common approach 1:40right because at the end of the day a their best partners are 1:45our partners and industry they're the ones that have the inside help us drive 1:48innovation in the public sector 1:50as we develop the DAR we actually engage their partners and industry 1:54we did a request for information go about 30 responses 1:58the very valuable information fully integrated into the DAR 2:02so we think that there's a you know we want to continue their collaboration 2:11some other key insights and the that are theirs 2 I'd really like to highlight 2:15number one 2:16I when you talk about big data when you talk about data analytics 2:20the the the big kind of dirty secret here the big 2:25the constraint is really the prosaic issues 2:29around information plumbing moving data sets cleansing data 2:34a the basic extraction that 2:38movement in loading up information and what 2:41you really becomes a a core issue is different agencies different information 2:46trading partners do it differently adds a lot of friction as a lot a 2:50point-to-point connections 2:51there's a huge opportunity to drive efficiency and effectiveness through 2:55common approaches for 2:57exposing information through query points using shared services to move 3:02information adopting standards in architecture 3:05that enable affected data analytics across 3:08multiple multiple agencies your number two 3:11more you have to take a maturity model approach 3:15not every agency not every program is in the same place in terms of their data 3:19management approaches 3:21their readiness to share information to ensure implementation of policy run 3:25security and privacy 3:27so it's important to be able to help agencies understand where they are on 3:32the continuum 3:33maturity and whether you need to share information 3:36the policy my way where they are today was the road map for them to get better 3:41in the future 3:42so those two key ideas are integrated fully into the car 3:48so I encourage you to download the Dara 3:51the data aggregation reference architecture it's on our website 3:54triple-double utilize the dugout 3:56use it provide some feedback engaged through the standards Coordinating 4:00Council 4:01and other forums to help us make it better let us know where you had 4:05successes and let us know where 4:07there's a more work we can do to make the document and the guidance the 4:10company is it 4:11that much more useful to you in your program thank you very much Published on Jan 18, 2015
Jan 12, 2015
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