Hey everyone,

Some issues to be aware of regarding the metadata language value:

https://jira.lyrasis.org/browse/DS-2174
https://jira.lyrasis.org/browse/DS-2548
https://jira.lyrasis.org/browse/DS-4169
https://jira.lyrasis.org/browse/DS-4493

And some other info:

https://wiki.lyrasis.org/display/DSPACE/TechnicalFAQ#TechnicalFAQ-MetadatavaluesinCSVexportseemtohaveduplicatecolumns

I agree with David that using OpenRefine on exported metadata cleanup is a 
great option. You’ll just have to be aware of the issues where a “null” 
language (e.g., dc.contributor.advisor) versus an “empty” language (e.g., 
dc.contributor.advisor[]) will be updated differently later on depending on 
where in DSpace the change is being made. Specifically, DS-4169 (fixed in 
DSpace 6.4) describes the issue whereby “null” language values get changed to 
“empty” language values when editing metadata via the user interface. So, I 
think that having a language qualifier (e.g., en or en_US) would eliminate the 
uncertainty with subsequent metadata updates (at least until all the issues are 
resolved).

--
Sean

From: [email protected] <[email protected]>
Date: Thursday, October 29, 2020 at 10:23 AM
To: DSpace Technical Support <[email protected]>
Subject: [dspace-tech] Re: dspace metadata fields
Caution: This message was sent from outside the University of Manitoba.
I think you could export the metadata into OpenRefine of even LibreOffice Calc. 
Then trim the leading and ending white spaces and compact any consecutive white 
spaces. Then address the language qualifier. If everything is in English you 
could set that column to [en] or you could just empty the column. You will have 
to make changes to you metadata scheme in DSpace to keep this from reoccurring. 
Once your data is clean, import and overwrite.

David Bigwood
[email protected]
Library, Planetary Image Facility
Lunar and Planetary Institute

On Thursday, October 29, 2020 at 2:15:49 AM UTC-5 [email protected] wrote:
Dear all

Our metadata in dspace is scattered under different following metadata fields.

How can we club together such data in one go.

dc.contributor.advisor
dc.contributor.advisor[]
dc.contributor.advisor[en_US]
dc.contributor.author
dc.contributor.author[]
dc.contributor.author[en]
dc.contributor.author[en_US]
dc.date.accessioned
dc.date.accesioned[]
dc.date.accessioned[en_US]
dc.date.available...................

reg

Sunita Barve

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