Panton Discussion #4: video of Iain Hrynaszkiewicz of BioMedCentral on Open Data, etc.

We have now edited and converted the Panton Discussion with IainH – it’s at http://vimeo.com/34555054.

The full video runs for 28 minutes, so we have given a TOC with start times if you want to jump to particular topics.

In addition we have split the discussion into 10 sections (which we will post to vimeo) and try to index from the main video.

We are also transcribing the video (probably in the same sections) and will make these available shortly.

Please comment either on this blog or on the Vimeo site. I am aware that there are probably technical problems such as framerates and dropped indexframes – if you see these, please note their time.

Topics with start time and duration:

1. Iain Hrynaszkiewicz (BiomedCentral) a Panton Discussion with Laura Newman and Peter Murray-Rust (0:14)
2. My background (0:20) (1:02)
3. My role at BiomedCentral (1:21) (0:42)
4. The role of Open Data at BiomedCentral (2:03)(1:33)
5. What is needed to make Open Data happen in BiomedCentral?(3:36) (1:34)
6. The annual BMC Open Data awards (5:10)(1:09)
7. Other Open Data advocates in the publishing industry(6:20) (0:49)
8. Technical issues of Data between disciplines (7:09)(1:52)
9. Does one size fit all for data? or should we subdivide disciplines? (9:01)(0:48)
10. What are the roles of the scientist the funder the publisher the institution?(9:51) (1:54)
11. Should each discipline have its own central repository? (11:43)(1:03)
12. How do you see the Panton Principles? (12:47)(2:22)
13. What are the barriers to Open Data? (15:09)(1:07)
14. Business models and funding for publishing data.(16:16) (1:44)
15. Can we avoid fragmentation (e.g. of definitions) for Open Data? (18:01)(1:06)
16. Would it make sense to have a central organisation for Open Data? (19:07)(0:48)
17. Creating or capturing machine-readable data. (19:56)(1:18)
18. Examples of where Open Data works well. (21:14)(2:12)
19. What is the influence of Government Open Data initiatives?(23:25) (1:02)
20. What would you like to see in 5 years’ time? (24:28)(1:37)
21. What are the greatest challenges facing the Open Data movement? (26:05)(2:03)