GLAMTLV2018/Submissions/Crowdsourcing Effect: when GLAM initiatives let museums correct their own metadata

From Meta, a Wikimedia project coordination wiki
Submission no. 15
Title of the submission
Crowdsourcing Effect: when GLAM initiatives let museums correct their own metadata

Author(s) of the submission
Célio Filho
E-mail address
Country of origin
Affiliation, if any (organisation, company etc.)

Type of session
Lightning talk
Length of session
5 min.
Ideal number of attendees


As we may read on Wikipedia, “crowdsourcing” is a sourcing model in which individuals or organizations obtain goods and services, including ideas and finances, from a large, relatively open and often rapidly-evolving group of internet users; it divides work between participants to achieve a cumulative result. It is also about a sourcing model applied in several fields, as in hard sciences, for instance the experiment conducted by NASA called ClickWorkers, a project that used public volunteers for scientific tasks. So, talking about GLAMs specific, the idea for this “discussion propose” is to look over the crowdsourcing effect that let museums correct their own metadata after GLAM initiatives. How does it happen? Once the files are transferred to Wikimedia Commons and its community edits them, some inconsistencies on the metadata may be pointed out by Commons community and later, at least most times, the museums recognized the notes as correct. Would such a case portfolio be a good convincing strategy when approaching new museums for a GLAM partnership? Perhaps this would avoid some interpretations such Commons like an amateur repository or views such the ones presented at book called “The Cult of the Amateur”, where the Internet critic Andrew Keen points that web 2.0 projects like wikis are destroying professionalism and making it impossible to find high quality material amidst all of the user-generated web content. Among the cases that I intend to present and talk is one GLAM initiative I was part that it was reported here.

What will attendees take away from this session?
  1. Debate on the idea of crowdsourcing as a strategy for new GLAMs
  2. Identify more notable cases
  3. Systematize possible referrals
  4. Listings
Slides or further information
Slides will be prepared if discussion submission is successful.
Special requests

Interested attendees[edit]

If you are interested in attending this session, please sign with your username below. This will help reviewers to decide which sessions are of high interest.

  1. ...