csu research datasets on rda · csu research datasets on rda this project is supported by the...

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CSU Research Datasets on RDA www.csu.edu.au This project is supported by the Australian National Data Service (ANDS) ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program Survey population Research questions What specialist research support services are libraries offering and planning? Are libraries constrained in providing specialist research support services? Do staff require additional education and training for research support roles? How might LIS schools respond to evolving library roles in research support? Services offered or planned Australia New Zealand UK Ireland Total Number of institutions 39 8 163 9 219 Number of responses 35 8 88 9 140 Percent response rate 89.7 100 53.9 100 63.9 0 20 40 60 80 100 Australia (n=35) New Zealand (n=8) UK (n=88) Ireland (n=9) 0 20 40 60 80 100 Australia (n=35) New Zealand (n=8) UK (n=82) Ireland (n=9) Percentage of libraries offering or planning data management support Percentage of libraries offering or planning bibliometric support 0 20 40 60 80 100 Staff require knowledge/skills Staff require confidence Not a library role Different needs across disciplines Different levels of demand Not a service priority Other (mainly resourcing issues) Australia (n=33) New Zealand (n=8) UK (n=86) Ireland (n=8) Percentage reporting constraints on bibliometric support 0 20 40 60 80 100 Staff require knowledge/skills Staff require confidence Not a library role Different needs across disciplines Different levels of demand Not a service priority Other (mainly resourcing issues) Australia (n=35) New Zealand (n=8) UK (n=81) Ireland (n=8) Percentage reporting constraints on data management support Constraints on service development Online survey responses data: Academic Library research support services in four countries: bibliometrics and research data management Dr Mary Anne Kennan This data set collected in 2012 consists of online questionnaire responses from a study investigating research support services in 140 academic libraries in Australia, New Zealand, Ireland, and the United Kingdom. The focus was on bibliometric and research data support services current and planned, and investigated target audiences, service enablers and constraints, and staff training needs. DOI : 10.4225/43/54ea72fdcec36 Contact details Phone: 612 6338 6158 Email: [email protected] Author: Karin Smith Affiliation: Charles Sturt University Library Charles Sturt University has created three open datasets on Research Data Australia. This has given us the capacity for publishing more data in the future. We can now promote the service to the University. Promote your research – share the data The Research Data Australia (RDA) discovery service provides a platform to showcase your research by providing a description of the project, the researcher and where possible access to the data. Post PhD researcher, Agriculture: “I shared my PhD data so that it could get a DOI and be cited.” Mid-career researcher, Information Studies: “Sharing our survey results, data which present a snapshot in time, may provide data useful for others in analysing change over time”. “Let’s practice what we preach” Early Career researcher, Psychology: “I shared my data to facilitate replication of the work – this is very important in my field. I included the stimuli, raw data, syntax and analysis and will provide it all on request” Datasets can get a DOI for potential citation The access to the data can be mediated or open. The data sets can be large or small. The library will work with researchers to create data descriptions RDA shows number of views and number of downloads of datasets RDA users include policy makers, educators and business people Botanal and seedling recruitment data: Rehabilitation of perennial pastures PhD project Dr Roshan Thapa The project (2005-2009) investigated a three-phase approach to managing recruitment designed to: encourage seed set and delivery by desirable species; prepare more suitable micro-sites for seedling recruitment; and identify the better post-emergence tactics that aided seedling recruitment in the short to medium-term. Data covers 5 experiments conducted at 3 field sites over the period 2006-2008. DOI : 10.4225/43/54eab173bd39a Image: R. Thapa, 2008 Image: D. Sulikowski 2012 Venom, speed, and caution: effects on performance in a visual search task data Dr Danielle Sulikowski These data come from a study that investigated perceptual sensitivity to pictures of venomous creatures. It re-interpreted previous findings to resolve inconsistencies in the literature by replacing a theory of “differential disengagement of attention” (finding it difficult to look away from such images) with one of “differential caution” (taking longer to respond to the images to minimise the chance of making an error). The full study is described in the following publication: Sulikowski, D. (2012). Venom, speed, and caution: Effects on performance in a visual search task. Evolution and Human Behavior 33(4): pp. 365-377 (DOI: 10.1016/j. evolhumbehav.2011.11.007). The data archived include raw data, analysis syntax and all stimuli files to allow re-analysis and/or future replication. Corrall, S., Kennan, M.A. & Afzal, W. (2013) Emerging and Innovating Research Support in Academic Libraries: The Datametrics Agenda Poster presentation at the 8th International Digital Curation Conference, 14th – 17th January 2013.

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Page 1: CSU Research Datasets on RDA · CSU Research Datasets on RDA This project is supported by the Australian National Data Service (ANDS) ANDS is supported by the Australian Government

CSU Research Datasets on RDA

www.csu.edu.au

This project is supported by the Australian National Data Service (ANDS)

ANDS is supported by the Australian Government through the National Collaborative

Research Infrastructure Strategy Program

This project is supported by the Australian National Data Service (ANDS)

ANDS is supported by the Australian Government through the National Collaborative

Research Infrastructure Strategy Program

This project is supported by the Australian National Data Service (ANDS) ANDS is supported by the Australian

Government through the National Collaborative Research Infrastructure Strategy Program

Survey population

Research questions• What specialist research support services are libraries offering

and planning?• Are libraries constrained in providing specialist research support services?• Do staff require additional education and training for research support roles?• How might LIS schools respond to evolving library roles in research support?

Services offered or planned

www.ischool.pitt.edu www.csu.edu.au/faculty/educat/sis

Research questionsWhat specialist research support services are libraries offering and planning? Are libraries constrained in providing specialist research support services? Do staff require additional education and training for research support roles? How might LIS schools respond to evolving library roles in research support?

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=88) Ireland (n=9)

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=82) Ireland (n=9)

Percentage of libraries offering or planning data management support

Percentage of libraries offering or planning bibliometric support

Australia New Zealand UK Ireland TotalNumber of institutions 39 8 163 9 219Number of responses 35 8 88 9 140Percent response rate

89.7 100 53.9 100 63.9

Survey population

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across disciplines

Different levels of demand

Not a service priority

Other (mainly resourcing issues)

Australia (n=33) New Zealand (n=8) UK (n=86) Ireland (n=8)

Services offered or planned

Constraints on service development

Percentage reporting constraints on bibliometric support

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across

disciplinesDifferent levels

of demand

Not a service priority

Other (mainly resourcing

issues)

Australia (n=35) New Zealand (n=8) UK (n=81) Ireland (n=8)

Percentage reporting constraints on data management support

www.ischool.pitt.edu www.csu.edu.au/faculty/educat/sis

Research questionsWhat specialist research support services are libraries offering and planning? Are libraries constrained in providing specialist research support services? Do staff require additional education and training for research support roles? How might LIS schools respond to evolving library roles in research support?

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=88) Ireland (n=9)

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=82) Ireland (n=9)

Percentage of libraries offering or planning data management support

Percentage of libraries offering or planning bibliometric support

Australia New Zealand UK Ireland TotalNumber of institutions 39 8 163 9 219Number of responses 35 8 88 9 140Percent response rate

89.7 100 53.9 100 63.9

Survey population

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across disciplines

Different levels of demand

Not a service priority

Other (mainly resourcing issues)

Australia (n=33) New Zealand (n=8) UK (n=86) Ireland (n=8)

Services offered or planned

Constraints on service development

Percentage reporting constraints on bibliometric support

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across

disciplinesDifferent levels

of demand

Not a service priority

Other (mainly resourcing

issues)

Australia (n=35) New Zealand (n=8) UK (n=81) Ireland (n=8)

Percentage reporting constraints on data management support

www.ischool.pitt.edu www.csu.edu.au/faculty/educat/sis

Research questionsWhat specialist research support services are libraries offering and planning? Are libraries constrained in providing specialist research support services? Do staff require additional education and training for research support roles? How might LIS schools respond to evolving library roles in research support?

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=88) Ireland (n=9)

0

20

40

60

80

100

Australia (n=35) New Zealand (n=8) UK (n=82) Ireland (n=9)

Percentage of libraries offering or planning data management support

Percentage of libraries offering or planning bibliometric support

Australia New Zealand UK Ireland TotalNumber of institutions 39 8 163 9 219Number of responses 35 8 88 9 140Percent response rate

89.7 100 53.9 100 63.9

Survey population

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across disciplines

Different levels of demand

Not a service priority

Other (mainly resourcing issues)

Australia (n=33) New Zealand (n=8) UK (n=86) Ireland (n=8)

Services offered or planned

Constraints on service development

Percentage reporting constraints on bibliometric support

020406080

100

Staff require knowledge/skills

Staff require confidence

Not a library role

Different needs across

disciplinesDifferent levels

of demand

Not a service priority

Other (mainly resourcing

issues)

Australia (n=35) New Zealand (n=8) UK (n=81) Ireland (n=8)

Percentage reporting constraints on data management support

Constraints on service development

Online survey responses data: Academic Library research support services in four countries: bibliometrics and research data managementDr Mary Anne KennanThis data set collected in 2012 consists of online questionnaire responses from a study investigating research support services in 140 academic libraries in Australia, New Zealand, Ireland, and the United Kingdom. The focus was on bibliometric and research data support services current and planned, and investigated target audiences, service enablers and constraints, and staff training needs. DOI : 10.4225/43/54ea72fdcec36

Contact detailsPhone: 612 6338 6158Email: [email protected]

Author: Karin Smith Affiliation: Charles Sturt University Library

Charles Sturt University has created three open datasets on Research Data Australia. This has given us the capacity for publishing more data in the future. We can now promote the service to the University.

Promote your research – share the data The Research Data Australia (RDA) discovery service provides a platform to showcase your research by providing a description of the project, the researcher and where possible access to the data.

Post PhD researcher, Agriculture: “I shared my PhD data so that it could get a DOI and be cited.”

Mid-career researcher, Information Studies: “Sharing our survey results, data which present a snapshot in time, may provide data useful for others in analysing change over time”. “Let’s practice what we preach”

Early Career researcher, Psychology: “I shared my data to facilitate replication of the work – this is very important in my field. I included the stimuli, raw data, syntax and analysis and will provide it all on request”

• Datasets can get a DOI for potential citation• The access to the data can be mediated or open.• The data sets can be large or small.

• The library will work with researchers to create data descriptions• RDA shows number of views and number of downloads of datasets• RDA users include policy makers, educators and business people

Botanal and seedling recruitment data: Rehabilitation of perennial pastures PhD projectDr Roshan ThapaThe project (2005-2009) investigated a three-phase approach to managing recruitment designed to:• encourage seed set and delivery by desirable species;• prepare more suitable micro-sites for seedling recruitment; and• identify the better post-emergence tactics that aided seedling recruitment

in the short to medium-term.Data covers 5 experiments conducted at 3 field sites over the period 2006-2008.DOI : 10.4225/43/54eab173bd39a

Image: R. Thapa, 2008

Image: D. Sulikowski 2012

Venom, speed, and caution: effects on performance in a visual search task dataDr Danielle SulikowskiThese data come from a study that investigated perceptual sensitivity to pictures of venomous creatures. It re-interpreted previous findings to resolve inconsistencies in the literature by replacing a theory of “differential disengagement of attention” (finding it difficult to look away from such images) with one of “differential caution” (taking longer to respond to the images to minimise the chance of making an error). The full study is described in the following publication: Sulikowski, D. (2012). Venom, speed, and caution: Effects on performance in a visual search task. Evolution and Human Behavior 33(4): pp. 365-377 (DOI: 10.1016/j.evolhumbehav.2011.11.007). The data archived include raw data, analysis syntax and all stimuli files to allow re-analysis and/or future replication.

Corrall, S., Kennan, M.A. & Afzal, W. (2013) Emerging and Innovating Research Support in Academic Libraries: The Datametrics Agenda Poster presentation at the 8th International Digital Curation Conference, 14th – 17th January 2013.

Botanal and seedling recruitment data: Rehabilitation of perennial pastures PhD project

Dr Roshan Thapa

The project (2005-2009) investigated a three-phase approach to managing recruitment designed to:

encourage seed set and delivery by desirable species; prepare more suitable micro-sites for seedling recruitment; and identify the better post-emergence tactics that aided seedling recruitment in the short

to medium-term.

Data covers 5 experiments conducted at 3 field sites over the period 2006-2008.

DOI : 10.4225/43/54eab173bd39a

Venom, speed, and caution: effects on performance in a visual search task data

Dr Danielle Sulikowski

This data comes from the study that interprets previous findings and resolves inconsistencies in the literature by replacing the theory of differential disengagement of attention with one of differential caution. The full study is described in the following publication: Sulikowski, D. (2012). Venom, speed, and caution: Effects on performance in a visual search task. Evolution and Human Behavior 33(4): pp. 365-377 (DOI: 10.1016/j.evolhumbehav.2011.11.007)

DOI: 10.4225/43/54eab0f69b714