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 Data Management Plans: 
a gentle introduction 
Martin Donnelly, Digital Curation Centre, University of Edinburgh 
Royal Holloway University of London, 22 August 2014
OVERVIEW (60 mins) 
 What is data management planning? 
 What’s required? 
 Who’s involved? 
 Short exercise, inc. feeding back (30 mins) 
 What resources are available to help?
1. Data Management Planning (DMP) 
 Data management planning is the process of planning, 
describing and communicating the activities carried out during 
the research lifecycle in order to… 
 Keep sensitive data safe 
 Maximise data’s reuse potential 
 Support longer-term preservation
What is a DMP? 
 Research funders (and other bodies) often ask for a short 
statement/plan to be submitted alongside grant applications 
 HEIs increasingly ask their researchers to do this too, as do 
some publishers… 
 In general, they want to know: 
- What kinds of data will be created, and how 
- How will the data be documented and described? 
- Are there ethical or Intellectual Property issues? 
- What are the arrangements for data sharing and reuse? 
- What is the strategy for longer-term preservation? 
 But they all have different requirements and emphases, 
and express them in different ways…
Benefits of Data Management Planning 
 It is intuitive that planned activities stand a better chance of 
meeting their goals than unplanned ones. The process of 
planning is also a process of communication, increasingly 
important in multi-partner research. Collaboration should be 
more harmonious if project partners (in industry, other 
universities, other countries…) are in accord 
 In terms of data security, if there are genuinely good reasons 
not to publish/share data, in whole or in part, you will be on 
more solid ground if you flag these up early in the process 
 DMP also provides an ideal opportunity to engender good 
practice with regard to (e.g.) file formats, metadata 
standards, storage and risk management practices, leading 
to greater longevity of data and higher quality standards
2. DMP requirements 
 6 of the 7 RCUK councils require data management 
plans at the application stage 
 NERC also expect an expanded DMP during the 
project, prepared in collaboration with the 
appropriate NERC data centre 
 Other major funders such as Cancer Research UK 
and the Wellcome Trust also require DMPs 
 Horizon 2020 includes a data management planning 
pilot, spanning three phases… more on that later
Funder policies 
http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
3. DMP roles (and exercise) 
 I mentioned earlier that RDM is a hybrid activity, involving 
multiple stakeholder types. 
 So who’s involved? 
 The principal investigator (usually ultimately responsible) 
 What about the research assistants? (they may be more 
involved in day-to-day data management) 
 And the institution’s funding office? 
 And the Library/IT/Research Funding office? 
 What about partners based in other institutions? 
 And commercial partners? 
 Etc
Researcher 
Research 
Support Office Data Library / Repository 
Computing 
Support 
Faculty Ethics 
Committee 
Etc... 
DATA 
MANAGEMENT 
…PLAN? 
UNRULY 
DATA
Interactive exercise: data management planning 
In pairs or individually… 
 Select one of the DMP Checklist headings 
(left), and brainstorm all the stakeholders 
you think might be involved (and how/why) 
– be specific! 
 Remember to think of different stages of 
research: pre-award, in-project, post-project 
 We’ll have a short reporting/discussion 
session at the end 
N.B. There’s a newer version of this document, 
the Checklist for a Data Management Plan, v4.0 
(2013) www.dcc.ac.uk/resources/data-management- 
plans - the coverage is much the 
same, but the arrangement is different 
SECTIONS 
§1: Introduction and Context 
§2: Data Types, Formats, 
Standards and Capture Methods 
§3: Ethics and Intellectual Property 
§4: Access, Data Sharing and Re-use 
§5: Short-Term Storage and Data 
Management 
§6: Deposit and Long-Term 
Preservation 
§7: Resourcing 
§8: Adherence and Review 
§9: Agreement/Ratification by 
Stakeholders 
§10: Annexes
Data management planning exercise: outcomes 
 It’s not necessary – or even desirable – for every 
researcher (or research administrator) to become an 
expert in every aspect of data management 
 Universities have an increasing obligation to provide 
infrastructure and support 
 RHUL update after this session 
 Specific expertise may be available from the research 
office, library, IT, departmental support staff, legal 
services, etc…
4. Tools and resources 
 Book chapters 
 Donnelly, M. (2012) “Data Management Plans and 
Planning”, in Pryor (ed.) Managing Research Data, London: 
Facet 
 Sallans, A. and Lake, S. (2014) “Data Management 
Assessment and Planning Tools”, in Ray (ed.) Research Data 
Management, West Lafayette: Purdue University Press 
 DCC Checklist for a Data Management Plan: 
http://www.dcc.ac.uk/resources/data-management-plans/ 
checklist 
 Guidance, e.g. “How-To Develop a Data Management and 
Sharing Plan” 
 Links to all DCC DMP resources via 
http://www.dcc.ac.uk/resources/data-management-plans 
 DMPonline: https://dmponline.dcc.ac.uk/
DMPonline 
 A free Web-based, Open Source data management 
planning tool 
 v1 (April 2010) 
 v2 (March 2011) added scope for multiple versions 
of plans and templates 
 v3 (May 2012) added functionality for sharing plans 
 v4 (November 2013) changed relationship with 
Checklist, improved usability 
 Technologies involved: Ruby on Rails, JavaScript, 
MySQL database 
 Quick walkthrough…
Creating an account 
Asks for email, 
organisation and 
password 
Auto-fills uni options 
as you type 
Can select ‘other 
organisation’ if yours 
is not listed
Creating a plan 
Select funder (if any) 
Select relevant 
organisation for DMP 
questions and guidance 
Select other sources of 
guidance
Tailoring at multiple levels 
Options to have guidance at 
organisation and ‘unit’ level 
e.g. by discipline, group, 
department, institute…
Coverage
Overview of sections 
Summary page with 
dropdown buttons to 
expand and answer 
each section 
Enables multiple phases
Questions and guidance 
Easy-format text boxes to answer 
Can provide examples / suggested 
responses, and pre-populate text 
boxes with default format for reply
Answering questions 
Notes who has answered 
the question 
Progress bar updates how 
many questions left
Sharing plan with collaborators 
Allow colleagues to read-only, 
read-write, or become co-owners
Exporting plans 
Screencast version of 
walkthrough at 
http://www.screenr.com/PJHN
Other features 
 Export formats: TXT, PDF, HTML (DOCX & CSV in preparation) 
 Institutions can customise the tool by… 
 Profiling local support via custom guidance and boilerplate text 
 Selecting from, and adding to, the standard question set 
 Add logo, change colour scheme, custom URL, etc 
 www.dcc.ac.uk/news/customising-dmponline 
 We’ve created a template for Horizon 2020 based on the annexes 
in the Guidelines for Data Management. This has three phases - 
one for the initial plan due within 6 months (based on annex 1) 
and another two for a DMP at the mid-term and final review 
stages (based on annex 2). The FOSTER (Facilitate Open Science 
Training for European Research) project will be offering training on 
this: http://www.fosteropenscience.eu
Thank you 
Questions? 
Digital Curation Centre 
University of Edinburgh 
martin.donnelly@ed.ac.uk 
Image credits 
Slide 1 – http://upload.wikimedia.org/wikipedia/commons/8/88/LernaeanHydraRephael.jpg 
Slide 2 – http://assets.worldwildlife.org/photos/934/images/hero_small/forest-overview-HI_115486.jpg?1345533675 
Slide 9 – http://en.wikipedia.org/wiki/File:Hercules_slaying_the_Hydra.jpg 
All images used under Creative Commons licenses 
Martin Donnelly 
This work is licensed under the 
Creative Commons Attribution 
2.5 UK: Scotland License. 
For more about DCC services see www.dcc.ac.uk 
or follow us on twitter @digitalcuration and #ukdcc 
@mkdDCC

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Data Management Plans: a gentle introduction

  • 1.  Data Management Plans: a gentle introduction Martin Donnelly, Digital Curation Centre, University of Edinburgh Royal Holloway University of London, 22 August 2014
  • 2. OVERVIEW (60 mins)  What is data management planning?  What’s required?  Who’s involved?  Short exercise, inc. feeding back (30 mins)  What resources are available to help?
  • 3. 1. Data Management Planning (DMP)  Data management planning is the process of planning, describing and communicating the activities carried out during the research lifecycle in order to…  Keep sensitive data safe  Maximise data’s reuse potential  Support longer-term preservation
  • 4. What is a DMP?  Research funders (and other bodies) often ask for a short statement/plan to be submitted alongside grant applications  HEIs increasingly ask their researchers to do this too, as do some publishers…  In general, they want to know: - What kinds of data will be created, and how - How will the data be documented and described? - Are there ethical or Intellectual Property issues? - What are the arrangements for data sharing and reuse? - What is the strategy for longer-term preservation?  But they all have different requirements and emphases, and express them in different ways…
  • 5. Benefits of Data Management Planning  It is intuitive that planned activities stand a better chance of meeting their goals than unplanned ones. The process of planning is also a process of communication, increasingly important in multi-partner research. Collaboration should be more harmonious if project partners (in industry, other universities, other countries…) are in accord  In terms of data security, if there are genuinely good reasons not to publish/share data, in whole or in part, you will be on more solid ground if you flag these up early in the process  DMP also provides an ideal opportunity to engender good practice with regard to (e.g.) file formats, metadata standards, storage and risk management practices, leading to greater longevity of data and higher quality standards
  • 6. 2. DMP requirements  6 of the 7 RCUK councils require data management plans at the application stage  NERC also expect an expanded DMP during the project, prepared in collaboration with the appropriate NERC data centre  Other major funders such as Cancer Research UK and the Wellcome Trust also require DMPs  Horizon 2020 includes a data management planning pilot, spanning three phases… more on that later
  • 8. 3. DMP roles (and exercise)  I mentioned earlier that RDM is a hybrid activity, involving multiple stakeholder types.  So who’s involved?  The principal investigator (usually ultimately responsible)  What about the research assistants? (they may be more involved in day-to-day data management)  And the institution’s funding office?  And the Library/IT/Research Funding office?  What about partners based in other institutions?  And commercial partners?  Etc
  • 9. Researcher Research Support Office Data Library / Repository Computing Support Faculty Ethics Committee Etc... DATA MANAGEMENT …PLAN? UNRULY DATA
  • 10. Interactive exercise: data management planning In pairs or individually…  Select one of the DMP Checklist headings (left), and brainstorm all the stakeholders you think might be involved (and how/why) – be specific!  Remember to think of different stages of research: pre-award, in-project, post-project  We’ll have a short reporting/discussion session at the end N.B. There’s a newer version of this document, the Checklist for a Data Management Plan, v4.0 (2013) www.dcc.ac.uk/resources/data-management- plans - the coverage is much the same, but the arrangement is different SECTIONS §1: Introduction and Context §2: Data Types, Formats, Standards and Capture Methods §3: Ethics and Intellectual Property §4: Access, Data Sharing and Re-use §5: Short-Term Storage and Data Management §6: Deposit and Long-Term Preservation §7: Resourcing §8: Adherence and Review §9: Agreement/Ratification by Stakeholders §10: Annexes
  • 11. Data management planning exercise: outcomes  It’s not necessary – or even desirable – for every researcher (or research administrator) to become an expert in every aspect of data management  Universities have an increasing obligation to provide infrastructure and support  RHUL update after this session  Specific expertise may be available from the research office, library, IT, departmental support staff, legal services, etc…
  • 12. 4. Tools and resources  Book chapters  Donnelly, M. (2012) “Data Management Plans and Planning”, in Pryor (ed.) Managing Research Data, London: Facet  Sallans, A. and Lake, S. (2014) “Data Management Assessment and Planning Tools”, in Ray (ed.) Research Data Management, West Lafayette: Purdue University Press  DCC Checklist for a Data Management Plan: http://www.dcc.ac.uk/resources/data-management-plans/ checklist  Guidance, e.g. “How-To Develop a Data Management and Sharing Plan”  Links to all DCC DMP resources via http://www.dcc.ac.uk/resources/data-management-plans  DMPonline: https://dmponline.dcc.ac.uk/
  • 13. DMPonline  A free Web-based, Open Source data management planning tool  v1 (April 2010)  v2 (March 2011) added scope for multiple versions of plans and templates  v3 (May 2012) added functionality for sharing plans  v4 (November 2013) changed relationship with Checklist, improved usability  Technologies involved: Ruby on Rails, JavaScript, MySQL database  Quick walkthrough…
  • 14. Creating an account Asks for email, organisation and password Auto-fills uni options as you type Can select ‘other organisation’ if yours is not listed
  • 15. Creating a plan Select funder (if any) Select relevant organisation for DMP questions and guidance Select other sources of guidance
  • 16. Tailoring at multiple levels Options to have guidance at organisation and ‘unit’ level e.g. by discipline, group, department, institute…
  • 18. Overview of sections Summary page with dropdown buttons to expand and answer each section Enables multiple phases
  • 19. Questions and guidance Easy-format text boxes to answer Can provide examples / suggested responses, and pre-populate text boxes with default format for reply
  • 20. Answering questions Notes who has answered the question Progress bar updates how many questions left
  • 21. Sharing plan with collaborators Allow colleagues to read-only, read-write, or become co-owners
  • 22. Exporting plans Screencast version of walkthrough at http://www.screenr.com/PJHN
  • 23. Other features  Export formats: TXT, PDF, HTML (DOCX & CSV in preparation)  Institutions can customise the tool by…  Profiling local support via custom guidance and boilerplate text  Selecting from, and adding to, the standard question set  Add logo, change colour scheme, custom URL, etc  www.dcc.ac.uk/news/customising-dmponline  We’ve created a template for Horizon 2020 based on the annexes in the Guidelines for Data Management. This has three phases - one for the initial plan due within 6 months (based on annex 1) and another two for a DMP at the mid-term and final review stages (based on annex 2). The FOSTER (Facilitate Open Science Training for European Research) project will be offering training on this: http://www.fosteropenscience.eu
  • 24. Thank you Questions? Digital Curation Centre University of Edinburgh martin.donnelly@ed.ac.uk Image credits Slide 1 – http://upload.wikimedia.org/wikipedia/commons/8/88/LernaeanHydraRephael.jpg Slide 2 – http://assets.worldwildlife.org/photos/934/images/hero_small/forest-overview-HI_115486.jpg?1345533675 Slide 9 – http://en.wikipedia.org/wiki/File:Hercules_slaying_the_Hydra.jpg All images used under Creative Commons licenses Martin Donnelly This work is licensed under the Creative Commons Attribution 2.5 UK: Scotland License. For more about DCC services see www.dcc.ac.uk or follow us on twitter @digitalcuration and #ukdcc @mkdDCC

Editor's Notes

  1. A DMP is a basic statement of how you will create, manage, share and preserve your data Funders expect the decisions to be justified, particularly where it’s not in line with their policy (e.g. limits on data sharing)
  2. Ultimately, a DMP should engage researchers in conversations with those providing [supporting] services. In this context, a DMP becomes a document of relationships that should be shared, edited, and monitored among those contributing to a project. From this viewpoint, a DMP functions as a dynamic document of agreements. From “The Value of Data Management Plans” by Chuck Humphrey, Data Library Coordinator at the University of Alberta, Canada, and Academic Director of the Research Data Centre http://preservingresearchdataincanada.net/2014/02/13/the-value-of-data-management-plans/
  3. This exercise introduces the DCC’s “Checklist for a Data Management Plan”, and focuses on the actors in your institution (and possibly beyond) who could be involved in each section of a data management plan…
  4. N.B. this screen design has since changed