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SUMMARY:GUILD: GUidance for Information about Linked Datasets - Ruth Gilbe
 rt (University College London)
DTSTART:20160913T130000Z
DTEND:20160913T133000Z
UID:TALK67331@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Co-authors: Lafferty\, Hagger-Johnson\, Harron\, Smith\, Zhang
 \, Dibben\, Goldstein<br><br>Linkage of large administrative datasets ofte
 n involves different teams at the various steps of the linkage pathway. In
 formation is rarely shared throughout the pathway about processes that mig
 ht contribute to linkage error and potentially bias results. However\, imp
 roved awareness about the type of information that should be shared could 
 lead to greater transparency and more robust methods\, including analyses 
 that take into account linkage error.   &nbsp\;  <br><span><br>The Adminis
 trative Data Research Centre for England convened a series of 3 face-to-fa
 ce meetings between data linkage experts to develop the GUILD guidance (<u
 >GU</u>idance for <u>I</u>nformation about <u>L</u>inked <u>D</u>atasets).
  GUILD recommends key items of information that should be shared at 4 step
 s in the data linkage pathway: data provision (how data was generated\, ex
 tracted\, processed and quality controlled)\, data linkage\, analyses of l
 inked data\, and report writing. The guidance aims to improve transparency
  in data linkage processes and reporting of analyses\, and to improve the 
 validity of results based on linked data.&nbsp\; GUILD guidance is desgine
 d to be used by data providers\, linkers\, and analysts\, but will also be
  relevant to policy makers\, funders and legislators responsible for widen
 ing use of linked data for research\, services and policy. The GUILD recom
 mendations will be presented and discussed.&nbsp\;</span>
LOCATION:Seminar Room 1\, Newton Institute
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