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IPS155 Laura B.
                  dataset on their own before running the statistical computations. In addition,
                  in  the  historical  database  some  identifying  variables  (i.e.  province  of
                  residency), previously expunged, have been added back for the period 1977-
                  1986. We also deliver the Italian component of the Household Finance and
                  Consumption Survey (coordinated by the ECB), adding some variables that are
                  not included in the original SHIW dataset (as, for example, gross income). For
                  all  datasets,  the  information  needed  for  data  usage  (questionnaires  of  the
                  latest waves, variables names, instructions for data usage, etc.) are available in
                  pdf format, while data are available in different formats (SAS, STATA, CSV).

                  5.  Banca d’Italia experience so far and the way forward
                      As said we usually don’t receive, and hence cannot count and archive,
                  all research papers written by external researchers using households and
                  firms survey data, we don’t have a measure of the utility of Banca d’Italia’s
                  granular data dissemination. On the other hand, we can count the number
                  of  people  submitting  jobs  through  BIRD  for  business  survey  data  and
                  downloading the file with households’ survey data. As for the first figure, we
                  observe a huge volatility of users and jobs submitted: on average 7 jobs are
                  run every week, even if the number of researchers is rather limited (around
                  10  new  researchers  per  year  file  for  using  BIRD).  We  believe  that  these
                  figures could easily increase as accessing data becomes more user-friendly.
                  To this end Banca d’Italia has included in her 3-years strategic plan the goal
                  to enrich the offer of granular data to the general public. We have hence
                  started working on a brand new Research Data Center (RDC) in order to
                  facilitate  the  way  internal  and  external  users  access  microdata,  also
                  increasing data availability and improving methodology. It will be a single
                  entry  point,  notwithstanding  differences  in  the  permissions  of  use  and
                  access  points  allowed  for  every  dataset,  owing  to  the  already  discussed
                                                                    5
                  differences in households’ and firms’ survey data.  The RDC will therefore
                  include  all  datasets  already  available  as  Public  Use  File  (hence  the
                  households’ survey data, and more) and in BIRD, but it will also provide two
                  new important tools. The first one is a web tabulator, an easy to use device,
                  available  online,  for  performing  tabulations  from  micro  data  in  a
                  personalized way, i.e. the researcher can choose categories and breakdowns
                  to a certain extent. The web tabulator will have some built-in firewalls in
                  order  to  prevent  the  identification  of  a  single  respondent  or  of  a  small
                  number  of  respondents.  In  fact  a  simple,  and  commonly  used,  way  to
                  prevent re-identification, is imposing a minimum number of respondents



                  5  This approach is common to other data providers. The Data without Boundaries programme
                  for European data, ended in 2015, noticeably supported this approach, up to listing a set of
                  principles for access to elementary data (Schiller and Welpton, 2013).
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