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Chargement... To Share or not to Share: Publication and Quality Assurance of Research Data Outputs | Annex: Detailed Findings for the Eight Research Areaspar Research Information Network (RIN) (Corporate Author), JISC (In Association), Natural Environment Research Council (In Association)
Information sur l'oeuvreTo Share or not to Share: Publication and Quality Assurance of Research Data Outputs | Annex: Detailed Findings for the Eight Research Areas par Research Information Network
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Contents
Classics 1
Overview
Data creation 1
Form and variety of data produced 1
Purposes of data generated as research output 2
Metadata 2
Adding value to data 2
Long term viability of datasets 3
Working with the created data 4
Tools and technologies for analysis 4
“Publishing” datasets 5
Ownership of data and constraints on publication and use 6
Response to requests for datasets 6
Discovery, access and use of third party datasets 6
Discovering relevant datasets 6
Access to third party datasets 6
Use of third party datasets 7
Quality assurance 7
Quality assurance in the data creation process 7
Data management planning 7
Quality assessment of datasets 8
What motivates researchers to publish data? 8
Social and public health sciences 9
Overview 9
Data creation 10
Form and variety of data produced 10
Metadata 10
Adding value to data 11
Long term viability of datasets 11
Working with the created data 11
Tools and technologies for analysis 11
“Publishing” datasets 12
Ownership of data and constraints on publication and use 12
Response to requests for datasets 12
Discovery, access and use of third party datasets 13
Discovering relevant datasets 13
Access to third party datasets 13
Use of third party datasets 14
Quality assurance 14
Quality assurance in the data creation process 14
Data management planning 14
Quality assessment of datasets 14
What motivates researchers to publish data? 15
Push factors: the effect of policy 15
Pull factors: intrinsic rewards 16
6. Astronomy 17
Overview
Data creation 18
Form and variety of data produced 18
Metadata 19
Adding value to data 19
Long term viability of datasets 19
Working with the created data 21
Tools and technologies for analysis 21
“Publishing” datasets 21
Ownership of data and constraints on publication and use 22
Response to requests for datasets 22
Discovery, access and use of third party datasets 22
Discovering relevant datasets 22
Access to third party datasets 22
Use of third party datasets 23
Quality assurance 23
Quality assurance in the data creation process 23
Data management planning 23
Quality assessment of datasets 24
What motivates researchers to publish data? 24
Push factors: the effect of policy 24
Pull factors: intrinsic rewards 24
7. Chemical crystallography 26
Overview 26
Data creation 28
Form and variety of data produced 28
Metadata 28
Adding value to data 28
Long term viability of datasets 29
Working with the created data 29
Tools and technologies for analysis 29
“Publishing” datasets 29
Ownership of data and constraints on publication and use 30
Response to requests for datasets 31
Discovery, access and use of third party datasets 31
Discovering relevant datasets 31
Access to third party datasets 31
Use of third party datasets 31
Quality assurance 32
Quality assurance in the data creation process 32
Data management planning 32
Quality assessment of datasets 32
What motivates researchers to publish data? 32
Push factors: the effect of policy 32
Pull factors: intrinsic rewards 33
8. Genomics 34
Overview 34
Data creation 35
Form and variety of data produced 35
Metadata 37
Adding value to data 38
Long term viability of datasets 39
Working with the created data 40
Tools and technologies for analysis 40
“Publishing” datasets 40
Ownership of data and constraints on publication and use 41
Response to requests for datasets 41
Discovery, access and use of third party datasets 41
Discovering relevant datasets 41
Access to third party datasets 42
Use of third party datasets 42
Quality assurance 42
Quality assurance in the data creation process 42
Data management planning 42
Quality assessment of datasets 43
What motivates researchers to publish data? 43
Push factors: the effect of policy 43
Pull factors: intrinsic rewards 43
9. Systems biology 44
Overview 44
Data creation 45
Form and variety of data produced 45
Metadata 46
Adding value to data 46
Long term viability of datasets 46
Working with the created data 47
Tools and technologies for analysis 47
“Publishing” datasets 48
Ownership of data and constraints on publication and use 49
Response to requests for datasets 49
Discovery, access and use of third party datasets 49
Discovering relevant Datasets 49
Access to third party datasets 50
Use of third party datasets 51
Quality assurance 51
Quality assurance in the data creation Process 51
Data management planning 52
Quality assessment of datasets 52
What motivates researchers to publish data? 52
Push factors: the effect of policy 52
Pull factors: intrinsic rewards 52
10. Rural Economy and Land Use 53
Overview 53
Data creation 54
Form and variety of data produced 54
Metadata 55
Adding value to data 55
Long term viability of datasets 55
Working with the created data 55
Tools and technologies for analysis 55
“Publishing” datasets 56
Ownership of data and constraints on publication and use 56
Response to requests for datasets 56
Discovery, access and use of third-party datasets 57
Discovering relevant Datasets 57
Access to third-party datasets 57
Use of third-party datasets 58
Quality assurance 58
Quality assurance in the data creation process 58
Data management planning 58
Quality assessment of datasets 59
What motivates researchers to publish data? 59
Push factors: the effect of Policy 59
Pull factors: intrinsic rewards 61
11. Climate Science 62
Overview 62
Data creation 63
Form and variety of data produced 63
Metadata 63
Adding value to data 64
Long-term viability of datasets 64
Working with the created data 64
Tools and technologies for analysis 64
“Publishing” datasets 65
Ownership of data and constraints on publication and use 65
Response to requests for datasets 65
Discovery, access and use of third-party datasets 66
Discovering relevant Datasets 66
Access to third-party datasets 66
Use of third-party datasets 67
Quality assurance 67
Quality assurance in the data creation process 67
Data management planning 67
Quality assessment of datasets 68
What motivates researchers to publish data? 68
Push factors: the effect of Policy 69
Pull factors: intrinsic rewards 69
SA - https://www.librarything.com/work/31528627/book/263006277 | https://www.librarything.com/work/32149444/book/262771999 | https://www.librarything.com/work/32135039/book/262594295 | https://www.librarything.com/work/32130292/book/262528448 | https://www.librarything.com/work/32118813/book/262385548 | https://www.librarything.com/work/31520626/book/255986143 | https://www.librarything.com/work/31512246/book/255872590 | https://www.librarything.com/work/31511109/book/255847480 |
RT - FAIR
BT - Discovery
NT - Peer Review
UF -Preservation and accessibility: Sharing datasets ensures the preservation of valuable historical and cultural information for future generations and allows researchers and scholars to access and study primary sources, texts, artifacts, and other materials related to classical studies. Sharing datasets encourages collaboration among researchers from different disciplines, enabling them to combine their expertise and analyze data collectively, leading to new insights and discoveries.
SN - The document is a report commissioned by the Research Information Network (RIN) on the publication and quality assurance of research data outputs in various research areas. It is a PDF downloaded from the RIN website. (This entry does not reference a hierarchical list)