“Who was that masked man?” That question was asked over 3,000 times at the end of episodes of a familiar radio, TV, and movie series. The rancher whose property had just been saved from outlaws would turn to his neighbor and say, “Oh, he’s the Lone Ranger.” If John Reid (the Lone Ranger) were a public school student and FERPA had been in force, the rancher would have added, “…and his real name and face are masked because they are personally identifiable information.” Simply put, the Lone Ranger’s mask hid his identity back in the 1930’s similar to how education agencies use identification numbers and de-identification techniques following FERPA mandates beginning in the 1970’s. However, that masking and de-identification has been taken to the extreme by some agencies. Researchers are handed databases that are disabled beyond usefulness. This Twiminar offers a solution. Agencies need to have four separate sets of data to satisfy all their purposes. Follow this Twiminar, learn about the four sets, get a badge.
Follow&respond to tweets describing #UnmaskData #ESPTwiminar17.1 Stop de-identifying too much data!… https://t.co/1Tr3tQQ2be
— ESP Solutions Group (@espsg) May 22, 2017
#ESPTwiminar17.2 #UnmaskData Read how to keep data unmasked for research but keep FERPA happy. Summary AERA paper: https://t.co/VX53rh7qGx
— ESP Solutions Group (@espsg) May 22, 2017
#ESPTwiminar17.3 #UnmaskData Ed agencies de-identify too much data. Researchers can’t perform analytics required to improve schools. #PII
— ESP Solutions Group (@espsg) May 22, 2017
#ESPTwiminar17.4 #UnmaskData Batman is overweight! Catwoman is normal. Rafael is obese! Super heroes’ BMIs unmasked! #PII #ResearchandEval
— ESP Solutions Group (@espsg) May 23, 2017
#ESPTwiminar17.5 #UnmaskData Agencies need 4 sets of data to serve their needs and give researchers unmasked data. #PII #ResearchandEval
— ESP Solutions Group (@espsg) May 23, 2017
#ESPTwiminar17.6 #UnmaskData Set 1 Longitudinal Data Store for official purposes & internal uses #PII #ResearchandEvaluation
— ESP Solutions Group (@espsg) May 23, 2017
#ESPTwiminar17.7 #UnmaskData Set 2 Identified Longitudinal Data Store for Researchers & Evaluators #PII #statesleading
— ESP Solutions Group (@espsg) May 24, 2017
#ESPTwiminar17.8 #UnmaskData Set 3 De-Identified Research Database for open records #PII #ResearchandEvaluation #statesleading
— ESP Solutions Group (@espsg) May 24, 2017
#ESPTwiminar17.9 #UnmaskData Set 4 for Aggregate Public Reporting #PII #ResearchandEvaluation #statesleading
— ESP Solutions Group (@espsg) May 24, 2017
#ESPTwiminar17.10 #UnmaskData Set2 for Authorized & Authenticated R&E protects #PII & gives R&E real data for analytics. #statesleading
— ESP Solutions Group (@espsg) May 25, 2017
#ESPTwiminar17.11 #UnmaskData #AERA paper examines 10 super heroes’ BMI under Set 2 or Set 3 rules. Masking weighs against R&E. #PII
— ESP Solutions Group (@espsg) May 25, 2017
#ESPTwiminar17.12 #UnmaskData Every education agency needs a Set 2 with unmasked data for R&E. Be a super hero & get one. #PII #Research
— ESP Solutions Group (@espsg) May 25, 2017
#ESPTwiminar17.13 #UnmaskData The full #AERA paper on unmasking data to support R&E while protecting #PII is https://t.co/rjd7Sjpzaw
— ESP Solutions Group (@espsg) May 26, 2017
#ESPTwiminar17.14 Claim your badge, https://t.co/R5Q802wvg2, for completing #UnmaskData. #PII #ResearchandEvaluation #statesleading
— ESP Solutions Group (@espsg) May 30, 2017