diff --git a/scripts/data_prep/digests/data_dl.txt b/scripts/data_prep/digests/data_dl.txt
new file mode 100644
index 0000000..8987078
--- /dev/null
+++ b/scripts/data_prep/digests/data_dl.txt
@@ -0,0 +1,487 @@
+f6d445cb47811641af33817a12f1af3b1a491050670a4238f04429eb6c71a5e8  ./Data/dl/DC1102SC.csv
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+4ecd4aa1a74632507b54e649cfcd5ecb20029f1b9812e7b079da14308b6ef4b9  ./Data/dl/LC1201SC.csv
+9dfddc92c6f6676c99357ab0c7ee16c4ade7d7349f74852276f22c1076ba2748  ./Data/dl/LC3403SC.csv
+b6f6f9742ecc1e8bc99a27dfd42bc48f16605939b754d6006262f9490c49fd95  ./Data/dl/DC4605SC.csv
+af101e57bb6ea90a9c6f38032032e362004ce713d58ff5d1aacb779d8bcfe1ef  ./Data/dl/LC4406SC.csv
+2f840396a890a5c87c483eb30a366feaf70f049dac15a07cb2a6328e41d1ccdb  ./Data/dl/QS407SC.csv
+5d2ef8694a566dc74f2eb4cc919c8a06e51c6faec86204f2c9a5da922501e9ce  ./Data/dl/DC3208SC.csv
+388670aa2c5d42d58653e37f044f5a06b3793d2249acfefe95d9c4d137b08873  ./Data/dl/KS612SC.csv
+6656865189837b1c553d6f86cc085d926eac3851abbedbdea852ee3370c500b7  ./Data/dl/QS213SC.csv
+3530fd7ab782ad8dc599a383b0b617c5bb7459523d1ef1b31cde3d87d67220db  ./Data/dl/LC6121SC.csv
+2a4c27d76bc157f62965bf91e16d4615a0cb027fc8547d946803deefd844b433  ./Data/dl/DC3501SC.csv
+d636cb10af9d5109dc8a41533fa983bae9ad867585dc7273aac1f0abae733285  ./Data/dl/QS112SC.csv
+39b7da22ce2f6cd12ee1f8127b35753b4c48504243769b5364f983c8004905dd  ./Data/dl/whs_2015_child_archive_v1.tab
+c693fef35e18c5d4515f2d839d52139a6216d12c6f0f75514f8916781bdf03d8  ./Data/dl/QS602SC.csv
+1e91453dc686f1b08304c3358ade9c32b04605b80d512f5b015eeeeb1cfe88de  ./Data/dl/DC7103SC.csv
+7656429f0db235aab5eabda2cb400db86bb15f395a3f078c259370fd226df3f8  ./Data/dl/data_1.csv
+ad07eba36c2329aabbb9b8b605c636fc0a6d71b1eb9bce7bbe8449dd68dd4107  ./Data/dl/DC6406SCn.csv
+db27911cf836c7a651a43b1857c6e87d0a8bab7d0ec2b9ee9e51b697eaf88834  ./Data/dl/DC4214SCca.csv
+bd590e1e30d79eb7678e46db276bd217155e97ba03ca4a852037482bf777ce4a  ./Data/dl/Output_Areas_2011_Scotland.zip
+3de7140b4a4008fca91e0e11ab80c3241b2fa9795e91145da4ed88a11a5e5cf5  ./Data/dl/DC6129SCn.csv
+9970fa76fa6b2611035a61a3c9e6f3a6436913dc2457365419aa45ed6080dd00  ./Data/dl/DC4402SC.csv
+5a640c4e0c5e2af1484508e050d829ce5421eaaa0ca070bb6a06d9df17776604  ./Data/dl/QS501SC.csv
+6c30f51eaaa3244202f220090df8d4aad245bceecd9c2297bde29c565022e376  ./Data/dl/DC1120SC.csv
+e8c108ac02b3b1042397bd9b61f09d1eb054cac7109d366985a1b96cea4e90a0  ./Data/dl/DC7101SC.csv
+a8c85871efd0a82ecf5ecf102ff23a280134f99a86bd9402284964f8649723c4  ./Data/dl/DC6101SC.csv
+565d8b16b74b983f32345bd7034eaa1f096f50429e56674dd20be417e2110990  ./Data/dl/KS609SC.csv
+4e228e3fb53690133a44e88f3197bebcc378d91a2db30eb9b30e4c22951754b6  ./Data/dl/DC1301SC.csv
+6c1e724518b258736e5e443fd2fb38b6d296c57895c51beec1b984c0485ce7b5  ./Data/dl/QS421SC.csv
+44d6df72733975308dcefabe79b371f387e0387d8ed625136815611b5a4e20f6  ./Data/dl/QS110SC.csv
+588b846fea88cf290324d213e47e4e1c41658184e9f257f51f96630c3dce19fb  ./Data/dl/LC6107SC.csv
+413b4862ffd00eaa4fb1a816ad96b28cb8fc707764e78cca0f21fde45fdef940  ./Data/dl/LC4404SC.csv
+159847147c1da4b48b67742b20cb3de523005e0c64f5eaeb1e237aee33e8e371  ./Data/dl/DC3602SC.csv
+ff2f306ff1bd114517d107321cf75710af544804cd3be3662a62ad662dd2c171  ./Data/dl/QS211SC.csv
+2b8bd52197cb8a8915a5eb1ce0b77d49c0685c5afb365760aee3be80052ecb2b  ./Data/dl/LC6206SC.csv
+44b8254874e4adb200d441963cec0f376e3aa7670365521de7a2c8cba6a5f3cc  ./Data/dl/QS704SC.csv
+da9000014b73dfafef549e25677e778fd6fead92e87f65770805da66cf77f12a  ./Data/dl/LC4420SC.csv
+a361533ceec40d3467003eee82cb6fa22cf64e52fdf5be5be99411a5152bfb6d  ./Data/dl/KS610SC.csv
+f87f12b18afb02de5bbb11a36fc25d7782eabed0e93763753290bfe82b74cb84  ./Data/dl/LC1102SC.csv
+bdb6686c10ac5491bd6f16229ab0c8844ac95a50936cdd126e2378970dbabdce  ./Data/dl/LC6123SC.csv
+527f0315b03dc99885402816029a9595fe6329b35b728265801139a0653741f1  ./Data/dl/DC6609SCn.csv
+95cfcd634cb1bab7ddbf94cab2e5a01798877adb585dc5092ad326fff58ecc53  ./Data/dl/shes19i_eul.tab
+9cf7d12b6dc6f582b8a758c1a3d8a3cffb8b40fc88c5e860ef1f616c0bb9c388  ./Data/dl/LC5601SC.csv
+9e4f6da5b0235322a1226f40af1811c454aed0cc42e82e03edd1aadfc939f50d  ./Data/dl/DC1104SC.csv
+7fb139da4e3bc617e41eba488981d37da89b7da381b915c1f068ff85c849cc91  ./Data/dl/LC4601SC.csv
+cb7749779759a1e0ce2f8bfd3963cea7b16cf47e83b91080a656efd8f8c0a74e  ./Data/dl/LC6302SC.csv
+3f9e94f0127c4a6dc6a1a779a263ba32a753fb9ff3ad60be420017521c06dc85  ./Data/dl/DC7608SC.csv
+2b7f870cb19ad45555eef9682298762dfa6f9644bd15b9fcf66b0063e09d4f4a  ./Data/dl/DC2407SC.csv
+4980fb9480ae639148b2dc0728e34d981bcdfa8edab3d87c3e7b7fe804bdcc68  ./Data/dl/DC4426SC.csv
+ddef8f4443386a199766ec9119667f06dcabba497cc46b28ea32325724076614  ./Data/dl/KS201SC.csv
+62e139e5afe55e071e045c885dbf7686470a4b19b93a55dda39331579c5fb9c1  ./Data/dl/uktus15_wksched.tab
+ee658a2a458e4518089e3c16349879854f8e922a17f0364a03e7f922bc6939a8  ./Data/dl/Google_Global_Mobility_Report.csv
diff --git a/scripts/data_prep/uk_data_service_digests.txt b/scripts/data_prep/digests/uk_data_service.txt
similarity index 100%
rename from scripts/data_prep/uk_data_service_digests.txt
rename to scripts/data_prep/digests/uk_data_service.txt
diff --git a/scripts/data_prep/raw_prep/prep_dl.sh b/scripts/data_prep/raw_prep/prep_dl.sh
index 62f9b7f..3c43439 100755
--- a/scripts/data_prep/raw_prep/prep_dl.sh
+++ b/scripts/data_prep/raw_prep/prep_dl.sh
@@ -3,7 +3,7 @@
 set -e
 
 # Check zip digests from UK Data Service
-shasum -c uk_data_service_digests.txt
+shasum -c digests/uk_data_service.txt
 
 # Unzip
 OUTPATH=Data/dl/
diff --git a/scripts/data_prep/raw_to_prepared.R b/scripts/data_prep/raw_to_prepared.R
index 7e196f4..be50379 100644
--- a/scripts/data_prep/raw_to_prepared.R
+++ b/scripts/data_prep/raw_to_prepared.R
@@ -434,8 +434,8 @@ downloadNSSEC <- function(age,sex){
   date<- "latest"
   other <- paste("&c_sex=",sex,"&c_nssec=1,4...10,13&c_age=",age,"&measures=20100&select=geography_code,c_nssec_name,obs_value",sep="")
   url <- createURL(dataset,geogrMSOA,APIKey,date,other)
-  download.file(url,destfile = paste(folderIn,"data.csv",sep=""))
-  data <- read.csv(paste(folderIn,"data.csv",sep=""))
+  download.file(url,destfile = paste(folderIn,"data_1.csv",sep=""))
+  data <- read.csv(paste(folderIn,"data_1.csv",sep=""))
   data$C_NSSEC_NAME <- substr(as.character(data$C_NSSEC_NAME),1,1)
   data$C_NSSEC_NAME[data$C_NSSEC_NAME == "L"] <- 9
   data$C_NSSEC_NAME <- as.numeric(data$C_NSSEC_NAME)
diff --git a/scripts/data_prep/raw_to_prepared_Workplaces.R b/scripts/data_prep/raw_to_prepared_Workplaces.R
index 13b4e46..34efadb 100644
--- a/scripts/data_prep/raw_to_prepared_Workplaces.R
+++ b/scripts/data_prep/raw_to_prepared_Workplaces.R
@@ -35,10 +35,10 @@ geogr <- "2092957699"
 date<- "latestMINUS2"
 other <- "&industry=150994945...150994965&employment_sizeband=1...9&legal_status=0&measures=20100&select=industry_name,employment_sizeband_name,obs_value&rows=employment_sizeband_name&cols=industry_name"
 url <- createURL(datasetBR,geogr,APIKey,date,other)
-download.file(url,destfile = paste(folderIn,"data.csv",sep=""))
+download.file(url,destfile = paste(folderIn,"data_workplaces_1.csv",sep=""))
 
 # Load data and clean
-data <- read.csv(paste(folderIn,"data.csv",sep=""))
+data <- read.csv(paste(folderIn,"data_workplaces_1.csv",sep=""))
 data <- data[c(1,7,2,5,8,3,6,9,4),]
 row.names(data) <- 1:nrow(data)
 
@@ -124,8 +124,8 @@ if(!file.exists(paste(folderOut,"lsoaData.csv",sep = ""))){
   other <- "&industry=146800641...146800643,146800645...146800673,146800675...146800679,146800681...146800683,146800685...146800687,146800689...146800693,146800695,146800696,146800698...146800706,146800708...146800715,146800717...146800722,146800724...146800728,146800730...146800739&employment_status=1&measure=1&measures=20100&select=geography_code,industry_code,obs_value&rows=geography_code&cols=industry_code"
   geogrLSOA2 <- paste(geogrLSOA[1:1000],collapse=",")
   url <- createURL(datasetES,geogrLSOA2,APIKey,date,other)
-  download.file(url,destfile = paste(folderIn,"data.csv",sep=""))
-  data <- read.csv(paste(folderIn,"data.csv",sep=""))
+  download.file(url,destfile = paste(folderIn,"data_workplaces_2.csv",sep=""))
+  data <- read.csv(paste(folderIn,"data_workplaces_2.csv",sep=""))
   for(i in 1:22){
     geogrLSOA2 <- paste(geogrLSOA[(i*1000 + 1):min(i*1000 + 1000,l)],collapse=",")
     url <- createURL(datasetES,geogrLSOA2,APIKey,date,other)