Re: identify ISSN numbers in an mrc file

Hi, Sergio:
you can try MARCgrep http://en.pusc.it/bib/MARCgrep.
Its help is:

MARCgrep.pl
       Extracts MARC records that match a condition on fields. Count and
       invert are available.

SYNOPSIS
       MARCgrep.pl [options] [-e condition] file.mrc

        Options:
          -h   print this help message and exit
          -c   count only
          -e   condition
          -f   comma separated list of fields to print
          -o   output format "marc" | "line" | "INLINE"
          -s   separator string for condition, default ","
          -v   invert match

        Condition:
          -e  'tag,indicator1,indicator2,subfield,value'

OPTIONS
       -h      Print this message and exit.

       -c      Count and print number of matching records

       -e      The condition to match in the record.
                For data fields, the syntax is:

                  tag,indicator1,indicator2,subfield,value

                where tag, indicator1, indicator2, subfield, and value =
are regular expressions patterns.
                Do not put spaces around the separators.

                For control fields, the syntax is:

                  tag,pos1,pos2,value

                where tag starts with '00' (use '000' or 'LDR' for =
leader), pos1 is the starting position,
                pos2 is the ending position, both 0-based. Value is a =
regular expression.

                Default condition (-e not specified) matches any data =
field.
                For control fields, only the tag is mandatory.

                Examples: -e '100,,,a,^A' will match records that =
contain 100$a starting with 'A'
                          -e '008,35,37,(ita|eng)' will match records =
with language ita or eng in 008
                          -e '(1|7)(0|1)(0|1),,2' will match =
100,110,111,700,710,711 with ind2=3D2

       -f      Comma separated list of fields (tags) to print if output =
format
               is "line" or "inline". Default is any field.
                Note that if a tag is preceded by '#' sign (like in =
'#nnn'), a
               count of occurrences will be printed instead.

                Examples: -f '100,245' will print field 100 and 245
                          -f '400,#400' will print all occurrences of =
400 field as well as the number of its occurrences

       -o      Output format: "marc" for ISO2709, "line" for each =
subfield in
               a line, "inline" (default) for each field in a line.

       -s      Specify a string separator for condition. Default is ','.

       -v      Invert the sense of matching, to select non-matching =
records.

       -V      Print the version and exit.

       file.mrc
               The mandatory ISO2709 file to read. Can be STDIN, '-'.

DESCRIPTION
       Like grep, the famous Unix utility, MARCgrep.pl allows to filter =
MARC
       bibliographic
        records based on conditions on tag, indicators, and field value.

       Conditions can be applied to data fields, control fields or the =
leader.

       In case of data fields, the condition can specify tag, =
indicators,
       subfield and value using regular
        expressions. In case of control fields, the condition must =
contain the
       tag name, the starting
        and ending position (both 0-based), and a regular expressions =
for the
       value.

       Options -c and -v allow respectively to count matching records =
and to
       invert the match.

       If option -c is not specified, the output format can be "line" or
       "inline" (both human readable),
        or "marc" for MARC binary (ISO2709). For formats "line" or =
"inline",
       the -f option allows to specify
        fields to print.

       You can chain more conditions using

       ./MARCGgrep.pl -o marc -e condition1 file.mrc | ./MARCGgrep.pl -e
       condition2 -

KNOWN ISSUES
       Performance.

       Accepts and returns only UTF-8.

       Checks are case sensitive.

AUTHOR
       Pontificia Universita' della Santa Croce =
<http://www.pusc.it/bib/>

       Stefano Bargioni <[email protected]>

SEE ALSO
       marktriggs / marcgrep at <https://github.com/marktriggs/marcgrep> =
for
       filtering large data sets


> On 02 nov 2016, at 09:57, Sergio Letuche <[email protected]> =
wrote:
>=20
> Hello community,
>=20
> how would you treat the following?
>=20
> I need a way to identify all tags - subfields, that have stored an =
ISSN number in them.=20
>=20
> What would you suggest as a clever approach for this?
>=20
> Thank you