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Introduction to RDM from the international perspective
Published on Jan 30, 20151611 Views
The first part was about a quick introduction of the British Digital Curation Centre. The central part was dedicated to research data management and its different perspectives. Such as how to define a
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Chapter list
SEMINAR: Preparing research data for open access00:00
Introduction to RDM from the international perspective00:01
Overview - 100:02
Overview - 200:23
Overview - 300:31
Overview - 401:03
DDC - 101:38
DDC - 202:01
DDC - 302:27
Supported by Jisc03:02
So what is the problem? - 103:42
So what is the problem? - 204:37
Disappearing research record04:58
Concern about reproducibility05:47
Concern about scrutiny06:21
Define ‘Research Data Management’?06:32
What about ‘Research Data’?07:43
So what research data is ‘published’ ?08:23
Must all ‘managed’ data be ‘open’?09:21
Case study examples09:55
Degrees of openness10:26
Administrative Data Research Network11:14
Open data policy from the ‘top down’12:36
Data sharing policy from the ‘top down’13:29
But what makes data a ‘public good’? - 114:02
But what makes data a ‘public good’? - 215:12
But what makes data a ‘public good’? - 315:28
Collaborative Data Infrastructure 15:58
How does that support RDM lifecycle?17:50
International infrastructure - 118:19
International infrastructure - 218:23
e - IRG19:09
International infrastructure - 319:22
Research & Innovation19:50
International infrastructure - 420:19
Cessda - 120:28
Social Science Data Archives20:45
Data Documentation Initiative20:53
International infrastructure - 520:54
Data Cite21:13
International infrastructure - 622:11
EUDAT22:17
International infrastructure - 723:04
Cessda - 223:09
Cessda - 323:21
International infrastructure - 823:40
RDA24:04
National infrastructure - 124:20
National infrastructure - 224:27
Jisc Managing Research Data Programme25:40
Institutional infrastructure - 126:56
Institutional infrastructure - 227:59
DataShare28:24
Institutional infrastructure - 329:43
Practical checklists: key points in research cycle30:05
Data selection checklist30:46
Straightforward steps31:30
Step 1 (?) What ‘must’ be kept? - 132:50
Step 1 (?) What ‘must’ be kept? - 234:03
Step 1 (?) What ‘must’ be kept? - 334:20
Step 1 (?) What ‘must’ be kept? - 435:00
Step 2 1 What could it be reused for?35:55
Step 3 What data should have value38:23
Step 4 Consider cost factors40:57
Step 5 Bring it all together42:10
Thank you, any questions? 44:04