Leeds

Aims:• design a lightweight survey to maximise response • understand data volume and variety for capacity planning• raise awareness of new institutional policy

How much research data would you typically generate in a year?

What % of research data generated would you need to keep for others to validate your research findings?

• Fewer than 10% of respondents currently deposit their data with a national or international data repository.

Research Data Survey

Leeds RoaDMaP

Leeds Research Data Management Pilot

< 10Gb

10-100Gb

100-500Gb

500-1000Gb

1000-10,000Gb

> 10,000Gb

I don't know

44%

20%

8%

3%

9%

2%

14%

25% or less25-50%

50-75%< 75%

0%

10%

20%

30%

40%37%

16%

8%

39%

Interviews – build a picture of data management practices and requirements

Training – pilot a face to face training session for PhD students

Data management planning – test DMPOnline

Case studies

• Test DMPOnline with case studies and beyond• Feedback to DCC, adapt, re-test• Embed practice in stakeholder workflows• Gather example DMPs for training

Has a data management plan ever been completed for any of your research projects? (data survey question)

• Test DMPOnline with case studies and beyond• Feedback to DCC, adapt, re-test• Embed practice in stakeholder workflows• Gather example DMPs for training

Has a data management plan ever been completed for any of your research projects? (data survey question)

Further details: RoaDMaP web site: http://library.leeds.ac.uk/roadmap-project/ Contact: roadmap@leeds.ac.uk Poster acknowledgements: RoaDMaP team

• Training working group with cross team membership• Identification of training stakeholders• Pilot session for PhDs to be delivered by the Staff and

Departmental Development Unit

Research focus - the digitisation of 2" 24-track magnetic tapes of film music

recording sessions.

Research produces multi-track audio data plus associated written documentation.

Key challenge: potential deterioration of magnetic source media requiring the tapes to be 'baked' first by a specialist company .

Research focus: to explore how personal and family relationships develop and change over time. Research data challenges:

• Relationship between institutional and subject specific repositories

• Identification of next steps and resources required to migrate data from one repository platform to another.

Our case studies represent a range of subject disciplines and different phases of the research lifecycle:

Pre-award: MusicLive-award: Engineering (SpineFX)

Post-award: Sociology (Timescapes); Music

Funded 2007-2012 by ESRC. Created an archive of qualitative longitudinal (QL) data for preservation, sharing and re-use.

Timescapes is an example of effective data management practice, bringing highly beneficial expertise to the RoaDMaP project. We are exploring different roles in data management through this case study – including Library staff.

44%56%

yesno

Visualization of MM lesions (larger than 3.2mm in

diameter)

SpineFX is a Marie Curie Initial Training Network (ITN) comprising 4 Universities and 3 SMEs. The research focus: treatment of spinal fracture arising from osteoporosis, metastatic bone disease and trauma.

The research generates significant amounts of imaging and mechanical related data e.g. CT scan images, associated metadata and contextual documentation.

Research data challenges:- scale of data (6Tb)- sharing with European colleagues - linking different data sets with context data and scans

SpineFX is a Marie Curie Initial Training Network (ITN) comprising 4 Universities and 3 SMEs. The research focus: treatment of spinal fracture arising from osteoporosis, metastatic bone disease and trauma.

The research generates significant amounts of imaging and mechanical related data e.g. CT scan images, associated metadata and contextual documentation.

Research data challenges:- scale of data (6Tb)- sharing with European colleagues - linking different data sets with context data and scans

Anticipated benefits to SpineFX: long term storage of accessible data compromising linked data setsAnticipated benefits to SpineFX: long term storage of accessible data compromising linked data sets

The Professional Career and Output of Trevor Jones

Data Management Planning

“Always seems a good idea but takes time we don't really have - and for a novice it is difficult to know where to start.”

“Always seems a good idea but takes time we don't really have - and for a novice it is difficult to know where to start.”

Leeds Research Data Management Policy (Extract)A data management plan that explicitly addresses the capture, management, integrity, confidentiality, preservation, sharing and publication of research data must be created for each proposed research project or funding application.

Leeds Research Data Management Policy (Extract)A data management plan that explicitly addresses the capture, management, integrity, confidentiality, preservation, sharing and publication of research data must be created for each proposed research project or funding application.

Training

The approach to training is influenced by the cycles of Kolb, experiential learning, and Deming, management process.

The approach to training is influenced by the cycles of Kolb, experiential learning, and Deming, management process.

Institutional research data steering and working groups & diverse stakeholder involvement

DMP links with new grants management system, other IT systems

Sustainable financial model – in conjunction with central Finance

Sustainable ownership of RDM policy and guidance

Embedding