Hi Stephen,



We're running a webinar on crowdsourcing metadata on Sept 12th. 



http://www.jiscdigitalmedia.ac.uk/training/webinars



Matt





Matt Faber

Advisor – Image Digitisation

T 0203 697 5872

Twitter www.twitter.com/jiscdigital

One Castlepark, Tower Hill, Bristol, BS2 0JA

jisc.ac.uk 

Jisc is a registered charity (number 1149740) and a company limited by guarantee which is registered in England under Company No. 5747339, VAT No. GB 882 5529 90. Jisc’s registered office is: One Castlepark, Tower Hill, Bristol, BS2 0JA. T 0203 697 5800. jisc.ac.uk







-----Original Message-----

From: Museums Computer Group [mailto:[log in to unmask]] On Behalf Of Stephen McConnachie

Sent: 28 July 2014 15:03

To: [log in to unmask]

Subject: Crowd sourcing: platforms, methodologies, business cases



In the BFI we're starting to scope a crowd sourcing project based on BFI National Archive moving image collections (and possibly photograph collection).



We're at a very early stage. For example, we're still defining the ambition: do we want to gather permanently useful knowledge - such as geographic location for film scenes, annotated with timecode - for the BFI's database; or do we simply want to engage existing audiences and potentially new audiences in BFI activities / collections. Or both!



So I'm interested in learning from our peers in the museum sector, who are farther down this path than we are. I'm particularly interested in any Adlib users who have implemented crowd sourcing projects which write the data to their Adlib system, either by API integration, or separate offline workflow.



Maybe there's a great online resource describing the pitfalls, benefits, methods, which I have missed? Collections Trust?



1. platforms 

Which platforms / websites / plugins are the obvious leaders in offering data capture functionality to online users, and harvesting of that data for use in a permanent repository?



Are there free options worth considering? Or plugins for leading applications - eg Drupal, Wordpress?



Or is it better to find a developer budget / resource and just build a bespoke layer to your website / collections search application?



2. methodologies

Is it better to offer tightly controlled datasets for users to select (eg genre / subject taxonomies), or is it more successful to offer more freedom, and map / translate responses to your controlled datasets after the fact? 

(think I answered my own question, but: who has done it, by either approach, and what lessons did you learn?)



Is it better to attempt a gamification / reward model, and if so, what has worked and what has failed? For example: free tickets to physical domain events? Badges for social media use? Is a tiered reward model better - ie, contribute 100 responses and get this thing / contribute 1000 and get this much better thing?



3. business cases / benefits

If you have delivered a crowd sourcing project, how did you pitch and demonstrate benefits to the organisation? Traffic to web resource? Survey? Social media feedback?



Did you obtain funding help from any general research sources or specific data sources? If so, practical tips on how that is achieved? If not, how did you make the business case for internal resourcing?



Stephen



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