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

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 factorMartin Donnelly
 
DMPonline new features
DMPonline new featuresDMPonline new features
DMPonline new featuresSarah Jones
 
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 AnalysisEDINA, University of Edinburgh
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management PlansSarah Jones
 
Data Management Planning at Edinburgh
Data Management Planning at EdinburghData Management Planning at Edinburgh
Data Management Planning at EdinburghSarah Jones
 
RDM for librarians
RDM for librariansRDM for librarians
RDM for librariansSarah Jones
 
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 Mari Elisa Kuusniemi
 
H2020 Open Research Data pilot
H2020 Open Research Data pilotH2020 Open Research Data pilot
H2020 Open Research Data pilotSarah Jones
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilotSarah Jones
 
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)Martin Donnelly
 
DMP health sciences
DMP health sciencesDMP health sciences
DMP health sciencesSarah Jones
 
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 EdinburghEDINA, 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 pilotSarah Jones
 
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 ExperiencesASIS&T
 
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 FutureASIS&T
 
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 DMPToolkfear
 

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 SEFSAaike De Wever
 
Planning for Research Data Management
Planning for Research Data ManagementPlanning for Research Data Management
Planning for Research Data Managementdancrane_open
 
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 NoiseDigiday
 
Bluekai Little Blue Book
Bluekai Little Blue BookBluekai Little Blue Book
Bluekai Little Blue Bookwhatismarketing
 
What are information sources
What are information sourcesWhat are information sources
What are information sourcesJohan Koren
 
RTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxRTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxHusetMarkedsforing
 
Adobe Audience Manager Readiness Playbook
Adobe Audience Manager Readiness PlaybookAdobe Audience Manager Readiness Playbook
Adobe Audience Manager Readiness PlaybookChristophe Lauer
 
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...ad:tech London, MMS & iMedia
 
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 2014Christophe Lauer
 
Facetz DMP English 2014
Facetz DMP English 2014Facetz DMP English 2014
Facetz DMP English 2014Kirill Chistov
 
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 PublishersBrian Crotty
 
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 UniversityJonathan Underwood
 
Adobe Summit - Data Storytelling
Adobe Summit - Data StorytellingAdobe Summit - Data Storytelling
Adobe Summit - Data StorytellingChris Haleua
 
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 ExplainedEddy Widerker
 
Unit 5 - Sources of Information
Unit 5 - Sources of InformationUnit 5 - Sources of Information
Unit 5 - Sources of InformationRobbieA
 
INFORMATION SOURCES AND SERVICES
INFORMATION SOURCES AND SERVICESINFORMATION SOURCES AND SERVICES
INFORMATION SOURCES AND SERVICESJehn Marie A. Simon
 
Types of Information Sources
Types of Information SourcesTypes of Information Sources
Types of Information Sourceshisled
 
Types of Information Sources
Types of Information SourcesTypes of Information Sources
Types of Information SourcesAndrew Walsh
 

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

Data Management Planning at the DCC
Data Management Planning at the DCCData Management Planning at the DCC
Data Management Planning at the DCCMartin Donnelly
 
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|...EUDAT
 
Open Research Data & H2020
Open Research Data & H2020Open Research Data & H2020
Open Research Data & H2020Sarah Jones
 
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...OpenAIRE
 
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 viewResearch Data Alliance
 
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 DMPsSarah Jones
 
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 H2020OpenAIRE
 
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...Nancy Pontika
 
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 SolutionsMartin Donnelly
 
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...EUDAT
 
Making DMPs actionable and public
Making DMPs actionable and publicMaking DMPs actionable and public
Making DMPs actionable and publicStephanie Simms
 
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-awardMartin Donnelly
 
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...Daniel Spichtinger
 
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 practicesResearch Data Alliance
 
Leveraging the dmp tool
Leveraging the dmp toolLeveraging the dmp tool
Leveraging the dmp toolBrian Zelip
 
iConference: Overview of data management planning
iConference: Overview of data management planningiConference: Overview of data management planning
iConference: Overview of data management planningCarly Strasser
 

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

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 RealitiesMartin Donnelly
 
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 mandatesMartin Donnelly
 
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 practicesMartin Donnelly
 
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...Martin Donnelly
 
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 ResearchMartin Donnelly
 
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 DifficultiesMartin Donnelly
 
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 QuestionsMartin Donnelly
 
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)?Martin Donnelly
 
Digital Resources for Open Science
Digital Resources for Open ScienceDigital Resources for Open Science
Digital Resources for Open ScienceMartin Donnelly
 
Open Science and Horizon 2020
Open Science and Horizon 2020Open Science and Horizon 2020
Open Science and Horizon 2020Martin Donnelly
 
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 WebinarMartin Donnelly
 
The Horizon 2020 Open Data Pilot
The Horizon 2020 Open Data PilotThe Horizon 2020 Open Data Pilot
The Horizon 2020 Open Data PilotMartin Donnelly
 
Winning Horizon 2020 with Open Science
Winning Horizon 2020 with Open ScienceWinning Horizon 2020 with Open Science
Winning Horizon 2020 with Open ScienceMartin Donnelly
 
The FOSTER project - general overview
The FOSTER project - general overviewThe FOSTER project - general overview
The FOSTER project - general overviewMartin Donnelly
 
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 SciencesMartin Donnelly
 
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 staffMartin Donnelly
 
Research Data Management: a gentle introduction
Research Data Management: a gentle introductionResearch Data Management: a gentle introduction
Research Data Management: a gentle introductionMartin Donnelly
 
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 Martin Donnelly
 
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: 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

A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI AgeCprime
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your Queries
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your QueriesExploring ChatGPT Prompt Hacks To Maximally Optimise Your Queries
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your QueriesSanjay Willie
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterMydbops
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Visualising and forecasting stocks using Dash
Visualising and forecasting stocks using DashVisualising and forecasting stocks using Dash
Visualising and forecasting stocks using Dashnarutouzumaki53779
 

Recently uploaded (20)

A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
A Framework for Development in the AI Age
A Framework for Development in the AI AgeA Framework for Development in the AI Age
A Framework for Development in the AI Age
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your Queries
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your QueriesExploring ChatGPT Prompt Hacks To Maximally Optimise Your Queries
Exploring ChatGPT Prompt Hacks To Maximally Optimise Your Queries
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Scale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL RouterScale your database traffic with Read & Write split using MySQL Router
Scale your database traffic with Read & Write split using MySQL Router
 
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Visualising and forecasting stocks using Dash
Visualising and forecasting stocks using DashVisualising and forecasting stocks using Dash
Visualising and forecasting stocks using Dash
 

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.