SlideShare a Scribd company logo
1 of 41
INTECOL 2013 workshop
22 August 2013
Data management planning:
the what, the why, the who, the
how
Martin Donnelly
Digital Curation Centre
University of Edinburgh
Running order
1. What and why:
1. Thinking it through, then writing it down
2. Carrots and sticks
2. Who: roles and responsibilities
3. How: DMPonline and DMP Tool
1. WHAT and WHY?
What is a DMP?
• Research funders (and other bodies) often ask for a short
statement/plan to be submitted alongside grant
applications
– in the UK, 6 of the 7 RCUK funders require something like this as
part of the Je-S application process (and NERC ask for two
versions)
– in the US, as of 2011 the NSF requires that all grant applications
include a data management plan of no more than 2 pages (also
true of NIH)
– An EC requirement/expectation is coming in FP8/Horizon 2020
• Institutions increasingly see a benefit in asking their
researchers to do this too
• As do some publishers…
Why do they want this?
• Planning is an important early stage in
the research lifecycle
• For researchers, it’s an opportunity to
think things through, to prepare for
longer-term preservation, and to identify
tacit assumptions which may exist in
multi-partner / multi-disciplinary
research
• From the funder’s point of view, DMPs contribute to
the grant awards process. They also help to drive
efficiencies and improve the longevity of data assets
Typical DMP contents
In general, funders want to know:
- What kinds of data will be created and how?
- How will the data be documented and described?
- Are there ethical and Intellectual Property issues?
- What are the arrangements for data sharing and third-party
access?
- What is the strategy for longer-term preservation?
- In short, how and why: list methods and standards, justify
decisions, and note any limitations (e.g. on access)
But they all have different requirements, and express them
in different ways…
2. WHO?
- Just the principal investigator? (usually
directly/ultimately responsible)
- But what about the research assistants?
- And the institution’s funding office?
- And the Library/IT?
- What about partners based in other
institutions?
- And commercial partners?
- Etc and so on
So, who’s involved in this process?
Researcher
Research
Support Office Data Library / Repository
Computing
Support
Faculty Ethics
Committee
Etc...
DATA
MANAGEMENT
…PLAN?
UNRULY
DATA
3. HOW?
What do & do?
Two free and Open Source web-based tools which
enable users to...
i.Create, store and update Data Management Plans
across the research lifecycle
ii.Meet a variety of specific data-related requirements
(from funders, institutions, publishers, etc.) in a single
place
iii.Get tailored guidance on best practice and helpful
contacts, at the point of need
iv.Customise, export and share DMPs in a variety of
formats in order to facilitate communication within and
beyond research projects
i. DMPonline walkthrough
- User logs in and starts a new DMP by filling in some basic
details. She then chooses the template(s) she needs.
- Each template contains a subset of the checklist questions,
which have been mapped to the requirements of the funder,
institution, discipline, publishers, etc. Templates also contain
detailed guidance and links to further information to help the
user on her way.
- The DMP owner can share access with collaborators or with
support staff. They can therefore work together on different
sections of the plan.
- Plans can be exported at any stage, and in a variety of different
formats; once complete, they can be submitted alongside the
funding application.
How it works
Screenshot #1: Login
Screenshot #2: create a plan
Screenshot #3: plan homescreen
Screenshot #4: guidance
Screenshot #5: tailored templates
Screenshot #6: sharing
Screenshot #7: export process
Screenshot #8: export result
ii. DMP Tool walkthrough
As part of the workflow…
DMP tools can also be used in conjunction
with other tools that support the data
management/curation lifecycle, e.g.…
- DAF (Data Asset Framework)
- DRAMBORA (Digital Repository Audit Method
Based On Risk Assessment)
- CARDIO (Collaborative Assessment of
Research Data Infrastructure and Objectives)
- LIFE
- Planets testbed tools
- CRIS and RMS systems
- DataONE tools
- and more
PRO
-Users prefer using an online tool to paper templates
-They like the sharing functionality
-Considerable demand for institutional customisations
CON
-Users generally find the current screen layout and user interface
too complex
-Some also complained about the mapping process, and say
they would prefer to answer funder questions verbatim (as is the
case with DMP Tool)
DMPonline evaluation (2012)
- We’ll be simplifying and improving the user interface ASAP
- We’ve produced a new version of the Checklist, with fewer
questions. In time this *might* develop along the lines of a
taxonomy of data management, and we’re looking into linking
up with work that CASRAI are doing (which we influenced via
the original Checklist!)
- We’re freshening up the associated guidance
- Users will be able to select new templates that don’t map to
the Checklist at all, or relate to it in a different way
- New system will retain compatibility with existing content
See DCC Director Kevin Ashley’s blog post at
http://www.dcc.ac.uk/news/future-plans-dmponline
Future plans (short and longer term)
DMPTool 2: Responding to the
Community
DMP Tool: Improvements in 2013
DMPTool2: Responding
to the Community
A few more DMP resources
– “Dealing with Data” (Lyon, 2008)
– Analysis of Funder Policies (Jones,
2009)
– Checklist for a Data Management Plan
(Donnelly and Jones, 2009-2012)
– “How to Develop a Data Management
and Sharing Plan” (Jones, 2011)
– “Data Management Plans and
Planning” (Donnelly, 2012) in Pryor
(ed.) Managing Research Data,
London: Facet
Links to all DCC resources via http://www.dcc.ac.uk/resources/data-management-plans
Key things to remember
All research projects are different, so there’s no one-
size-fits-all DMP approach
The DMP will depend upon the nature of the research
AND its context (funder, domain, institution(s) etc)
DMPs are useful communication tools between
multiple stakeholders
Keep the twin goals of RDM in mind throughout, i.e.
 Keep sensitive data safe
 Enable reuse via ongoing access
Thank you
Image credits:
Slide 1 - http://upload.wikimedia.org/wikipedia/commons/8/88/LernaeanHydraRephael.jpg
Slide 3 - http://www.flickr.com/photos/axis/
Slide 7 - http://www.oxbridgebiotech.com/wp-content/uploads/2013/07/Confused-Doctor.jpg
Slide 9 - http://en.wikipedia.org/wiki/File:Hercules_slaying_the_Hydra.jpg
Thanks to DMPTool’s Bill Michener and Carly Strasser for the use of their slides.
This work is licensed under the Creative
Commons Attribution 2.5 UK: Scotland
License.
Martin Donnelly
Digital Curation Centre
University of Edinburgh
martin.donnelly@ed.ac.uk
Twitter: @mkdDCC
www.dcc.ac.uk/resources/data-management-plans
For other DCC services see www.dcc.ac.uk or follow us on twitter @digitalcuration and
#ukdcc

More Related Content

What's hot

What's hot (20)

Data Management Planning at the DCC: a human factor
Data Management Planning at the DCC: a human factorData Management Planning at the DCC: a human factor
Data Management Planning at the DCC: a human factor
 
DMPonline new features
DMPonline new featuresDMPonline new features
DMPonline new features
 
Repository Fringe 2016 - Survey Documentation and Analysis
Repository Fringe 2016 - Survey Documentation and AnalysisRepository Fringe 2016 - Survey Documentation and Analysis
Repository Fringe 2016 - Survey Documentation and Analysis
 
Data and Knowledge Evolution
Data and Knowledge Evolution  Data and Knowledge Evolution
Data and Knowledge Evolution
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management Plans
 
Data Management Planning at Edinburgh
Data Management Planning at EdinburghData Management Planning at Edinburgh
Data Management Planning at Edinburgh
 
RDM for librarians
RDM for librariansRDM for librarians
RDM for librarians
 
Data management planning - Training for trainers, part III
Data management planning - Training for trainers, part IIIData management planning - Training for trainers, part III
Data management planning - Training for trainers, part III
 
What is-rdm
What is-rdmWhat is-rdm
What is-rdm
 
H2020 Open Research Data pilot
H2020 Open Research Data pilotH2020 Open Research Data pilot
H2020 Open Research Data pilot
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilot
 
Open Data: Strategies for Research Data Management (and Planning)
Open Data: Strategies for Research Data  Management (and Planning)Open Data: Strategies for Research Data  Management (and Planning)
Open Data: Strategies for Research Data Management (and Planning)
 
MARAT ANALYSIS
MARAT ANALYSISMARAT ANALYSIS
MARAT ANALYSIS
 
DMP health sciences
DMP health sciencesDMP health sciences
DMP health sciences
 
Research Data Management (RDM) Initiatives at the University of Edinburgh
Research Data Management (RDM) Initiatives at the University of EdinburghResearch Data Management (RDM) Initiatives at the University of Edinburgh
Research Data Management (RDM) Initiatives at the University of Edinburgh
 
Horizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilotHorizon 2020 and the open research data pilot
Horizon 2020 and the open research data pilot
 
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service ExperiencesRDAP 16: DMPs and Public Access: Agency and Data Service Experiences
RDAP 16: DMPs and Public Access: Agency and Data Service Experiences
 
Poster RDAP13: Research Data in eCommons @ Cornell: Present and Future
Poster RDAP13: Research Data in eCommons @ Cornell: Present and FuturePoster RDAP13: Research Data in eCommons @ Cornell: Present and Future
Poster RDAP13: Research Data in eCommons @ Cornell: Present and Future
 
Writing a successful data management plan with the DMPTool
Writing a successful data management plan with the DMPToolWriting a successful data management plan with the DMPTool
Writing a successful data management plan with the DMPTool
 
Cousijns "Open Infrastructure: Foundations and Attributes"
Cousijns "Open Infrastructure: Foundations and Attributes"Cousijns "Open Infrastructure: Foundations and Attributes"
Cousijns "Open Infrastructure: Foundations and Attributes"
 

Viewers also liked

Data editors meeting at SEFS
Data editors meeting at SEFSData editors meeting at SEFS
Data editors meeting at SEFS
Aaike De Wever
 
What are information sources
What are information sourcesWhat are information sources
What are information sources
Johan Koren
 
RTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxRTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, Krux
HusetMarkedsforing
 
Unit 5 - Sources of Information
Unit 5 - Sources of InformationUnit 5 - Sources of Information
Unit 5 - Sources of Information
RobbieA
 
Types of Information Sources
Types of Information SourcesTypes of Information Sources
Types of Information Sources
hisled
 

Viewers also liked (20)

Data editors meeting at SEFS
Data editors meeting at SEFSData editors meeting at SEFS
Data editors meeting at SEFS
 
Planning for Research Data Management
Planning for Research Data ManagementPlanning for Research Data Management
Planning for Research Data Management
 
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of OxfordData Management Planning for Researchers - 2016-02-08 - University of Oxford
Data Management Planning for Researchers - 2016-02-08 - University of Oxford
 
DMS: Bluekai Pitch-a-Kucha: Data Activation: Separating Signal from Noise
DMS: Bluekai Pitch-a-Kucha: Data Activation: Separating Signal from NoiseDMS: Bluekai Pitch-a-Kucha: Data Activation: Separating Signal from Noise
DMS: Bluekai Pitch-a-Kucha: Data Activation: Separating Signal from Noise
 
Bluekai Little Blue Book
Bluekai Little Blue BookBluekai Little Blue Book
Bluekai Little Blue Book
 
What are information sources
What are information sourcesWhat are information sources
What are information sources
 
RTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxRTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, Krux
 
Adobe Audience Manager Readiness Playbook
Adobe Audience Manager Readiness PlaybookAdobe Audience Manager Readiness Playbook
Adobe Audience Manager Readiness Playbook
 
Joe Reid, Krux: People Data Activation, from paradox to paradigm @ iMedia Dat...
Joe Reid, Krux: People Data Activation, from paradox to paradigm @ iMedia Dat...Joe Reid, Krux: People Data Activation, from paradox to paradigm @ iMedia Dat...
Joe Reid, Krux: People Data Activation, from paradox to paradigm @ iMedia Dat...
 
Adobe DMP - Générer de l'engagement - eCommerce Paris 2014
Adobe DMP - Générer de l'engagement - eCommerce Paris 2014Adobe DMP - Générer de l'engagement - eCommerce Paris 2014
Adobe DMP - Générer de l'engagement - eCommerce Paris 2014
 
Facetz DMP English 2014
Facetz DMP English 2014Facetz DMP English 2014
Facetz DMP English 2014
 
Bluekai: Data Management Platforms (dmp) for Publishers
Bluekai: Data Management Platforms (dmp) for PublishersBluekai: Data Management Platforms (dmp) for Publishers
Bluekai: Data Management Platforms (dmp) for Publishers
 
Primary vs Secondary Sources by Dana Chandler, Archivist, Tuskegee University
Primary vs Secondary Sources by Dana Chandler, Archivist, Tuskegee UniversityPrimary vs Secondary Sources by Dana Chandler, Archivist, Tuskegee University
Primary vs Secondary Sources by Dana Chandler, Archivist, Tuskegee University
 
The DMP
The DMPThe DMP
The DMP
 
Adobe Summit - Data Storytelling
Adobe Summit - Data StorytellingAdobe Summit - Data Storytelling
Adobe Summit - Data Storytelling
 
The DMP 101 - Data Management Platforms Explained
The DMP 101 - Data Management Platforms ExplainedThe DMP 101 - Data Management Platforms Explained
The DMP 101 - Data Management Platforms Explained
 
Unit 5 - Sources of Information
Unit 5 - Sources of InformationUnit 5 - Sources of Information
Unit 5 - Sources of Information
 
INFORMATION SOURCES AND SERVICES
INFORMATION SOURCES AND SERVICESINFORMATION SOURCES AND SERVICES
INFORMATION SOURCES AND SERVICES
 
Types of Information Sources
Types of Information SourcesTypes of Information Sources
Types of Information Sources
 
Types of Information Sources
Types of Information SourcesTypes of Information Sources
Types of Information Sources
 

Similar to Data management planning: the what, the why, the who, the how

Similar to Data management planning: the what, the why, the who, the how (20)

Data Management Planning at the DCC
Data Management Planning at the DCCData Management Planning at the DCC
Data Management Planning at the DCC
 
DMP Online: update 2013
DMP Online: update 2013DMP Online: update 2013
DMP Online: update 2013
 
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...
 
DMP EUDAT
DMP EUDATDMP EUDAT
DMP EUDAT
 
Open Research Data & H2020
Open Research Data & H2020Open Research Data & H2020
Open Research Data & H2020
 
The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...
The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...
The Horizon 2020 Open Data Pilot - OpenAIRE webinar (Oct. 21 2014) by Sarah J...
 
Principles for proper data management and reuse--An RDA view
Principles for proper data management and reuse--An RDA viewPrinciples for proper data management and reuse--An RDA view
Principles for proper data management and reuse--An RDA view
 
What you need to know about DMPs
What you need to know about DMPsWhat you need to know about DMPs
What you need to know about DMPs
 
Open Access Week 2017: Introduction to Open Data Policies in H2020
Open Access Week 2017: Introduction to Open Data Policies in H2020Open Access Week 2017: Introduction to Open Data Policies in H2020
Open Access Week 2017: Introduction to Open Data Policies in H2020
 
General introduction to Open Data Policies H2020, influence of OD policies on...
General introduction to Open Data Policies H2020, influence of OD policies on...General introduction to Open Data Policies H2020, influence of OD policies on...
General introduction to Open Data Policies H2020, influence of OD policies on...
 
DMP in 5 minutes
DMP in 5 minutesDMP in 5 minutes
DMP in 5 minutes
 
Open Access to Research Data: Challenges and Solutions
Open Access to Research Data: Challenges and SolutionsOpen Access to Research Data: Challenges and Solutions
Open Access to Research Data: Challenges and Solutions
 
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...
 
Making DMPs actionable and public
Making DMPs actionable and publicMaking DMPs actionable and public
Making DMPs actionable and public
 
Practical Research Data Management: tools and approaches, pre- and post-award
Practical Research Data Management:  tools and approaches, pre- and post-awardPractical Research Data Management:  tools and approaches, pre- and post-award
Practical Research Data Management: tools and approaches, pre- and post-award
 
Funder RDM requirements and projects’ experiences - Insights from the case st...
Funder RDM requirements and projects’ experiences - Insights from the case st...Funder RDM requirements and projects’ experiences - Insights from the case st...
Funder RDM requirements and projects’ experiences - Insights from the case st...
 
How to elaborate a data management plan
How to elaborate a data management planHow to elaborate a data management plan
How to elaborate a data management plan
 
The Italian Universities RDM WG: tools and best practices
The Italian Universities RDM WG:  tools and best practicesThe Italian Universities RDM WG:  tools and best practices
The Italian Universities RDM WG: tools and best practices
 
Leveraging the dmp tool
Leveraging the dmp toolLeveraging the dmp tool
Leveraging the dmp tool
 
iConference: Overview of data management planning
iConference: Overview of data management planningiConference: Overview of data management planning
iConference: Overview of data management planning
 

More from Martin Donnelly

More from Martin Donnelly (20)

The Roots of DMPonline
The Roots of DMPonlineThe Roots of DMPonline
The Roots of DMPonline
 
Open Data Strategies and Research Data Realities
Open Data Strategies and Research Data RealitiesOpen Data Strategies and Research Data Realities
Open Data Strategies and Research Data Realities
 
Horizon 2020 open access and open data mandates
Horizon 2020 open access and open data mandatesHorizon 2020 open access and open data mandates
Horizon 2020 open access and open data mandates
 
Open Data - strategies for research data management & impact of best practices
Open Data - strategies for research data management & impact of best practicesOpen Data - strategies for research data management & impact of best practices
Open Data - strategies for research data management & impact of best practices
 
Preparing your own data for future re-use: data management and the FAIR prin...
Preparing your own data for future re-use:  data management and the FAIR prin...Preparing your own data for future re-use:  data management and the FAIR prin...
Preparing your own data for future re-use: data management and the FAIR prin...
 
Digital Data Sharing: Opportunities and Challenges of Opening Research
Digital Data Sharing: Opportunities and Challenges of Opening ResearchDigital Data Sharing: Opportunities and Challenges of Opening Research
Digital Data Sharing: Opportunities and Challenges of Opening Research
 
Research Data in the Arts and Humanities: A Few Difficulties
Research Data in the Arts and Humanities: A Few DifficultiesResearch Data in the Arts and Humanities: A Few Difficulties
Research Data in the Arts and Humanities: A Few Difficulties
 
Research Data in the Arts and Humanities: A Few Tricky Questions
Research Data in the Arts and Humanities: A Few Tricky QuestionsResearch Data in the Arts and Humanities: A Few Tricky Questions
Research Data in the Arts and Humanities: A Few Tricky Questions
 
Open Access and Open Data: what do I need to know (and do)?
Open Access and Open Data: what do I need to know (and do)?Open Access and Open Data: what do I need to know (and do)?
Open Access and Open Data: what do I need to know (and do)?
 
Digital Resources for Open Science
Digital Resources for Open ScienceDigital Resources for Open Science
Digital Resources for Open Science
 
Open Science and Horizon 2020
Open Science and Horizon 2020Open Science and Horizon 2020
Open Science and Horizon 2020
 
The Horizon2020 Open Data Pilot - OpenAIRE Webinar
The Horizon2020 Open Data Pilot - OpenAIRE WebinarThe Horizon2020 Open Data Pilot - OpenAIRE Webinar
The Horizon2020 Open Data Pilot - OpenAIRE Webinar
 
The Horizon 2020 Open Data Pilot
The Horizon 2020 Open Data PilotThe Horizon 2020 Open Data Pilot
The Horizon 2020 Open Data Pilot
 
Winning Horizon 2020 with Open Science
Winning Horizon 2020 with Open ScienceWinning Horizon 2020 with Open Science
Winning Horizon 2020 with Open Science
 
The FOSTER project - general overview
The FOSTER project - general overviewThe FOSTER project - general overview
The FOSTER project - general overview
 
Research Data Management for the Humanities and Social Sciences
Research Data Management for the Humanities and Social SciencesResearch Data Management for the Humanities and Social Sciences
Research Data Management for the Humanities and Social Sciences
 
Research Data Management: a gentle introduction for admin staff
Research Data Management: a gentle introduction for admin staffResearch Data Management: a gentle introduction for admin staff
Research Data Management: a gentle introduction for admin staff
 
Research Data Management: a gentle introduction
Research Data Management: a gentle introductionResearch Data Management: a gentle introduction
Research Data Management: a gentle introduction
 
Future agenda: repositories, and the research process
Future agenda: repositories, and the research processFuture agenda: repositories, and the research process
Future agenda: repositories, and the research process
 
Research data management: a tale of two paradigms:
Research data management: a tale of two paradigms: Research data management: a tale of two paradigms:
Research data management: a tale of two paradigms:
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Recently uploaded (20)

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 

Data management planning: the what, the why, the who, the how

  • 1. INTECOL 2013 workshop 22 August 2013 Data management planning: the what, the why, the who, the how Martin Donnelly Digital Curation Centre University of Edinburgh
  • 2. Running order 1. What and why: 1. Thinking it through, then writing it down 2. Carrots and sticks 2. Who: roles and responsibilities 3. How: DMPonline and DMP Tool
  • 3. 1. WHAT and WHY?
  • 4. What is a DMP? • Research funders (and other bodies) often ask for a short statement/plan to be submitted alongside grant applications – in the UK, 6 of the 7 RCUK funders require something like this as part of the Je-S application process (and NERC ask for two versions) – in the US, as of 2011 the NSF requires that all grant applications include a data management plan of no more than 2 pages (also true of NIH) – An EC requirement/expectation is coming in FP8/Horizon 2020 • Institutions increasingly see a benefit in asking their researchers to do this too • As do some publishers…
  • 5. Why do they want this? • Planning is an important early stage in the research lifecycle • For researchers, it’s an opportunity to think things through, to prepare for longer-term preservation, and to identify tacit assumptions which may exist in multi-partner / multi-disciplinary research • From the funder’s point of view, DMPs contribute to the grant awards process. They also help to drive efficiencies and improve the longevity of data assets
  • 6. Typical DMP contents In general, funders want to know: - What kinds of data will be created and how? - How will the data be documented and described? - Are there ethical and Intellectual Property issues? - What are the arrangements for data sharing and third-party access? - What is the strategy for longer-term preservation? - In short, how and why: list methods and standards, justify decisions, and note any limitations (e.g. on access) But they all have different requirements, and express them in different ways…
  • 8. - Just the principal investigator? (usually directly/ultimately responsible) - But what about the research assistants? - And the institution’s funding office? - And the Library/IT? - What about partners based in other institutions? - And commercial partners? - Etc and so on So, who’s involved in this process?
  • 9. Researcher Research Support Office Data Library / Repository Computing Support Faculty Ethics Committee Etc... DATA MANAGEMENT …PLAN? UNRULY DATA
  • 11. What do & do? Two free and Open Source web-based tools which enable users to... i.Create, store and update Data Management Plans across the research lifecycle ii.Meet a variety of specific data-related requirements (from funders, institutions, publishers, etc.) in a single place iii.Get tailored guidance on best practice and helpful contacts, at the point of need iv.Customise, export and share DMPs in a variety of formats in order to facilitate communication within and beyond research projects
  • 13. - User logs in and starts a new DMP by filling in some basic details. She then chooses the template(s) she needs. - Each template contains a subset of the checklist questions, which have been mapped to the requirements of the funder, institution, discipline, publishers, etc. Templates also contain detailed guidance and links to further information to help the user on her way. - The DMP owner can share access with collaborators or with support staff. They can therefore work together on different sections of the plan. - Plans can be exported at any stage, and in a variety of different formats; once complete, they can be submitted alongside the funding application. How it works
  • 16. Screenshot #3: plan homescreen
  • 22. ii. DMP Tool walkthrough
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
  • 33.
  • 34. As part of the workflow… DMP tools can also be used in conjunction with other tools that support the data management/curation lifecycle, e.g.… - DAF (Data Asset Framework) - DRAMBORA (Digital Repository Audit Method Based On Risk Assessment) - CARDIO (Collaborative Assessment of Research Data Infrastructure and Objectives) - LIFE - Planets testbed tools - CRIS and RMS systems - DataONE tools - and more
  • 35. PRO -Users prefer using an online tool to paper templates -They like the sharing functionality -Considerable demand for institutional customisations CON -Users generally find the current screen layout and user interface too complex -Some also complained about the mapping process, and say they would prefer to answer funder questions verbatim (as is the case with DMP Tool) DMPonline evaluation (2012)
  • 36. - We’ll be simplifying and improving the user interface ASAP - We’ve produced a new version of the Checklist, with fewer questions. In time this *might* develop along the lines of a taxonomy of data management, and we’re looking into linking up with work that CASRAI are doing (which we influenced via the original Checklist!) - We’re freshening up the associated guidance - Users will be able to select new templates that don’t map to the Checklist at all, or relate to it in a different way - New system will retain compatibility with existing content See DCC Director Kevin Ashley’s blog post at http://www.dcc.ac.uk/news/future-plans-dmponline Future plans (short and longer term)
  • 37. DMPTool 2: Responding to the Community DMP Tool: Improvements in 2013
  • 39. A few more DMP resources – “Dealing with Data” (Lyon, 2008) – Analysis of Funder Policies (Jones, 2009) – Checklist for a Data Management Plan (Donnelly and Jones, 2009-2012) – “How to Develop a Data Management and Sharing Plan” (Jones, 2011) – “Data Management Plans and Planning” (Donnelly, 2012) in Pryor (ed.) Managing Research Data, London: Facet Links to all DCC resources via http://www.dcc.ac.uk/resources/data-management-plans
  • 40. Key things to remember All research projects are different, so there’s no one- size-fits-all DMP approach The DMP will depend upon the nature of the research AND its context (funder, domain, institution(s) etc) DMPs are useful communication tools between multiple stakeholders Keep the twin goals of RDM in mind throughout, i.e.  Keep sensitive data safe  Enable reuse via ongoing access
  • 41. Thank you Image credits: Slide 1 - http://upload.wikimedia.org/wikipedia/commons/8/88/LernaeanHydraRephael.jpg Slide 3 - http://www.flickr.com/photos/axis/ Slide 7 - http://www.oxbridgebiotech.com/wp-content/uploads/2013/07/Confused-Doctor.jpg Slide 9 - http://en.wikipedia.org/wiki/File:Hercules_slaying_the_Hydra.jpg Thanks to DMPTool’s Bill Michener and Carly Strasser for the use of their slides. This work is licensed under the Creative Commons Attribution 2.5 UK: Scotland License. Martin Donnelly Digital Curation Centre University of Edinburgh martin.donnelly@ed.ac.uk Twitter: @mkdDCC www.dcc.ac.uk/resources/data-management-plans For other DCC services see www.dcc.ac.uk or follow us on twitter @digitalcuration and #ukdcc

Editor's Notes

  1. What I’m going to cover
  2. 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)
  3. 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)
  4. The DCC Checklist is by nature very long, and its length was felt to be off-putting to researchers. Most of them don ’ t want to deal with this stuff even at a basic level, and a long Checklist with over 100 questions was not going to enjoy a large takeup. No matter how many times we said “ you don ’ t need to fill it all in, just the bits that are relevant to you at this time ” the message wasn ’ t going to sink in, so we developed a fairly basic wizard style tool which asked a few questions about what stage your research was at, who your funder was, etc, and then pulled out only the most relevant questions from the Checklist to help you meet the pertinent requirements. So instead of seeing 115 questions, you might be presented with only 15 or 20. Much better. We then added functionalities like export and customisation, and some generic guidance to help with some of the more esoteric sections such as file format selection and metadata.
  5. Similarly, DMP Online can also be used in conjunction with other tools that support the data management/curation lifecycle, be these DCC tools or tools from other sources.
  6. So in summary, these are some of the key DMP-related resources.
  7. The main things to remember about DMPs is that all research projects are different- the DMP will vary with context. Apart from a few very specialised areas like backup - there are no universal rights and wrongs. R esearch data management by nature involves multiple stakeholders, so planning is important as a communication mechanism. The process of producing a plan (i.e. engaging with others and deciding on the best way forward) is as important as the plan itself.
  8. Thank you.