EFTA01649024
EFTA01649025 DataSet-10
EFTA01649027

EFTA01649025.pdf

DataSet-10 2 pages 304 words document
D6 V16 P17 P20 D3
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From: (IMD) (FBI)" ci > To: (IMD) (FBI)" cj >, ' (NY) (FBI)" -: > Cc: IMD (FBI)" •MIMIE>, (IMD) (FBI)" , IMD FBral.g, (IMD) (FBI)" (IMD) (FBI)" 'c > Subject: Re: RIDS SitRep 3/13 Date: Thu, 13 Mar 2025 22:54:41 +0000 Importance: Normal Inline-Images: jpeg-img-8c724d28-7cc7-46 f0-a47e-5b811760cael.jpeg Thank you MI and team RIDS. SIMD Deputy Assistant Director Information Management Division Phone From: (IMD) (FBI) < > Sent: Thursday, March 13, 2025 6:41:12 PM To: (NY) (FBI) < Ccilidilliarneafa(IMD) (FBI) c (IMD) (FBI) ic >; (IMD) (FBI) < > (INID) (FBI) (FBI) < ; (IMD) (FBI) < > Subject: RIDS SitRep 3/13 Good evening Below is RIDS SitRep information: • On March 13, 2025, the Records Information Dissemination Section (RIDS) delivered a half day of FOIA training to 11 NYFO and 12 RIDS personnel on 24 FOIA exemptions, in 16 categories. • IMD Government Information Specialist (GIS) personnel completed processing on 113 pages from 50D-NY-3027571 and 1 page from a 1B scan. • On March 13, 2025, all assigned IMD/NYFO were assigned 6,409 pages for processing from 50D-NY-3027571. • The first interim release from 50D-NY-3027571 is on track for completion on Sunday, March 16, 2025, for digital delivery to DOJ via NYFO on Monday, March 17, 2025. • On March 13, 2025, approximately 26,000 pages have been imported from Sentinel files into the redaction software. 6,409 pages have been assigned for processing from 50D-NY-3027571. EFTA01649025 IMD's National Security and Classification Operations Unit (NSCOU) reviewed the classification of 10 pages from 50D-NY-3027571 to inform future processing decisions. • On March 14, 2025, additional NYFO personnel will arrive at the CRC at 8:00 AM for a full day of training in the Multipurpose Room, provided by GIS Heather Gelormine. o EGIS and GIS nal will train 50 RIDS GIS Reviewers and Processors for weekend support. Best, EFTA01649026
ℹ️ Document Details
SHA-256
aab6838157049c87e55fe10deec1a5d8d65790bb91646d6b628d6ce81904f691
Bates Number
EFTA01649025
Dataset
DataSet-10
Document Type
document
Pages
2

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