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Date:         Tue, 28 Oct 2008 01:21:27 -0400
Reply-To:     Nancy Brucken <brucken@PROVIDE.NET>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         Nancy Brucken <brucken@PROVIDE.NET>
Subject:      Re: Dataset from Dictionary?

Hi all,

If your company is a corporate sponsor of CDISC, you can download a copy of the implementation guide domain specifications in Excel- it's available under the Members Only section of the CDISC website.

Regards, Nancy

On Mon, 27 Oct 2008 20:11:52 -0500, Lou <lpogoda@HOTMAIL.COM> wrote:

>"Ken Barz" <Ken.Barz@CPCMED.ORG> wrote in message >news:92BD54B69F8AA446B8446927AAADE7B403A0645A@cpc-1.Colorado.local... >> Well, yeah, I was just using airports and dictionary.columns as an >> example of a similar dictionary. In the CDISC implementation guide, >> they give the tables, variables, labels, , type, formats, ... in a data >> dictionary format. So, I don't have an actual dataset that I can use >> 'like' with. >> >> Since there's a whole slew of these things that need creating (and >> across many different studies), I was hoping to pull the dictionary in >> using Excel and have some way to use that metadata to create the actual >> working dataset. > >The copy of the implementation guide I have came in PDF format - I've tried >various methods to get those "dictionaries" out of the PDF into something >more usuable - a text file, spreadsheet, Word document, etc. I haven't >found anything reliable. > >If you find something that can eport/import this stuff to a spreadsheet, >please let me know. If you have a copy of the guide in some format more >usuable than PDF, please let me know where you got it. > >That aside, once you have your data dictionary in a spreadsheet, using it to >create a dataset with those variables with those attributes isn't a big >deal - I suppose someone could write a PROC, but I don't know of one already >out there. My place of business doesn't currently license access to PC file >formats, so we save the spreadsheet to a tab delimited text file, or >alternatively as an XML file that can be read using the excel tagset. > >Anyway, we write the code to produce whatever variables are called for in >the domain, but don't pay any attention to the attributes or the presence of >extraneous variables. This dataset will also contain variables needed for >things like supplementary qualifier datasets and/or comment datatsets, etc. >Once all the necessary variables are generated with their values, we read >the spreadsheet surrogate like so (if the surrogate is a tab delimited text >file): > >data map (keep = col1 col2 col4); > retain keeper 0; > infile map lrecl = 1000 pad dlm = '09'x dsd; > length col1 - col10 $ 100; > input col1 - col10; > if lowcase(compress(col1)) = 'variablename' then do; > keeper = 1; > return; > end; > if keeper then do; > col3 = lowcase(col3); > col4 = compress(col4, '$'); > if col3 = 'num' then col4 = '8'; > if col3 = 'char' then col4 = '$ ' || col4; > if col1 ^= ' ' then output; > end; >run; > >The "keeper" variable lets the program discard useless-to-the-program header >information that clients seem to insist be included in the map but get in >the way of the program. If you license access to pc file formats, you could >use PROC IMPORT to read the spreadsheet directly, but you still would want >to process the result to get rid of extraneous rows. To set the variable >attributes, we write an include file (to a TEMP file) from the MAP dataset >generated above and use it like this: > >data _null_; > set map end = done; > file include; > if _n_ = 1 then put 'attrib '; > put col1 'length = ' col4 'label = "' col2 +(-1) '"'; > if done then put ';'; >data your-dataset-name-here; > %include include; > set your-dataset-full-of-variables-here; >run; > >To write the final dataset, we use SQL like so: > >proc sql noprint; > select trim(col1) into :names separated by ', ' > from map; > create table your-domain-name (label = 'your-domain-label') as > select &names > from your-dataset-name-here > order by whatever-your-sort-variables-are-here; >quit; > >If you need supplementary qualifier datasets, comment datasets, etc. they >can all be generated from the your-dataset-full-of-variables dataset in the >same way. > >I admit this is kind of wordy - it would be possible to collapse this into >fewer steps, the attrib statement could be a macro variable instead of an >%include file, etc. - but I'm staffed with relatively young, inexperienced >programmers, and they can follow the explict steps more easily. If you must >have a macro, wrapping the above in %macro and %mend statements with a few >parameters would be the work of a few minutes.


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