SlideShare une entreprise Scribd logo
1  sur  18
Data Management Planning
                Sarah Jones
         Digital Curation Centre

        sarah.jones@glasgow.ac.uk



                                              Funded by:


   •PhD workshop, University of Northampton
What is research data management?


             •5.
                                     •1.
                                                      “the active management and
       •Preservation
         •& Re-Use
                                   •Create               appraisal of data over the
                                                          lifecycle of scholarly and
                                                              scientific interest”
      •4.
                                             •2.
 •Publication
                                        •Active Use
  •& Deposit

                                                       Data management is part of
                       •3.
                  •Documentation                         good research practice
What is a data management plan?
A brief plan written at the start of your project to define:
•    how your data will be created?
•    how it will be documented?
•    who will access it?
•    where it will be stored?
•    who will back it up?
•    whether (and how) it will be shared & preserved?


DMPs are often submitted as part of grant applications,
 but are useful whenever you’re creating data.
Why develop a DMP?
• to help you manage your data

• to make informed decisions so you don’t have to
  figure out things as you go

• to anticipate and avoid problems e.g. data loss

• to make your life easier!
What should a DMP cover?

1. What data will you produce?

2. How will you organise / look after the data?

3. How will you document the data?

4. What data will be deposited and where?

5. Who will be interested in re-using the data?
•1. What data will you produce?

                                                         • What type of data will
             •5.
       •Preservation
                                     •1.                   you produce?
                                   •Create
         •& Re-Use

                                                         • What types of file
                                                           format?
     •4.
•Publication
                                                •2.
                                           •Active Use
                                                         • How easy is it to create
 •& Deposit
                                                           or reproduce?
                       •3.
                  •Documentation
                                                         • Who owns and is
                                                           responsible for it?
•2. How will you look after the data?

             •5.
                                                         • Is your data safe?
                                     •1.
       •Preservation
                                   •Create
                                                         • How is your data
         •& Re-Use



                                                           backed up?
     •4.
                                                •2.
                                                         • Can you access it
•Publication
 •& Deposit
                                           •Active Use
                                                           when you need to?

                       •3.                               • Is your data
                                                           organised?
                  •Documentation
•3. How will you document the data?
                                                          • Do you still understand
              •5.
                                      •1.
                                                            your older work?
        •Preservation
                                    •Create
          •& Re-Use
                                                          • Is the file structure /
                                                            naming understandable?
      •4.
 •Publication
                                                 •2.      • Are there standards you
                                            •Active Use
  •& Deposit
                                                            can use?
                        •3.
                   •Documentation
                                                          • How do you handle
                                                            versions?
•4. What data will be deposited and where?

                                                           • Are you expected to
               •5.
                                       •1.
                                                             share your data?
         •Preservation
                                     •Create
           •& Re-Use
                                                           • Are you allowed to share
                                                             your data?
       •4.
  •Publication
                                                  •2.      • Which data will be
   •& Deposit
                                             •Active Use
                                                             included in your
                                                             publication / thesis?
                         •3.
                    •Documentation
                                                           • Which can be discarded?
•5. Preservation and Re-use

                                                         • How long will your data
             •5.
       •Preservation
                                     •1.
                                   •Create
                                                           be reusable for?
         •& Re-Use



                                                         • Do you need to prepare
                                                           your data to deposit in
     •4.
•Publication
                                                •2.
                                           •Active Use
                                                           an archive?
 •& Deposit




                       •3.
                                                         • How will you make sure
                  •Documentation
                                                           you get citations &
                                                           impact?
A useful framework to get you started



                                                       •Think about why
                                                       the questions are
                                                      being asked – why
                                                          is it useful to
                                                         consider that?


                                                    •Look at examples to
                                                    help you understand
                                                        what to write

•www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
Help from the DCC




                           •https://dmponline.dcc.ac.uk




•www.dcc.ac.uk/resources/how-guides/develop-data-plan
...a web-based tool to help researchers write Data
Management Plans according to different funder
requirements

We’re currently enhancing it with practical examples,
boilerplate text and tailored support

           https://dmponline.dcc.ac.uk
How DMP Online works
                                     Create a plan
                                       based on
                                       relevant
                                       funder /
                                     institutional
                                     templates...




...and then
answer the
 questions
 using the
 guidance
  provided
Tips for writing DMPs

• Seek advice - consult and collaborate

• Consider good practice for your field

• Base plans on available skills & support

• Make sure implementation is feasible
Sources of guidance
• ICPSR framework for a data management plan

  www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/
  framework.html


• How to develop a data management and sharing plan
  www.dcc.ac.uk/resources/how-guides/develop-data-plan


• UKDA’s manage and share your data guide
• http://data-archive.ac.uk/media/2894/managingsharing.pdf
Thanks - any questions?


Content for this sessions has been taken from Research360, a Jisc
funded project which developed DMP resources for PhD students:
http://blogs.bath.ac.uk/research360/category/training
Exercise: writing a DMP

• Fill in the template based on your PhD

• Discuss your plan
  – Did you know what to write?
  – Were the questions clear / understandable?
  – Was it useful to think about these issues?

Contenu connexe

Similaire à Data Management Planning for PhDs

20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅
20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅
20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅kulibrarians
 
Introduction to digital curation
Introduction to digital curationIntroduction to digital curation
Introduction to digital curationGarethKnight
 
Preventing data loss
Preventing data lossPreventing data loss
Preventing data lossIUPUI
 
Lecture 01 Evolution of Decision Support Systems
Lecture 01 Evolution of Decision Support SystemsLecture 01 Evolution of Decision Support Systems
Lecture 01 Evolution of Decision Support Systemsphanleson
 
Creating a Data Management Plan
Creating a Data Management PlanCreating a Data Management Plan
Creating a Data Management PlanKristin Briney
 
JOMC MATC Sakai Slides
JOMC MATC Sakai SlidesJOMC MATC Sakai Slides
JOMC MATC Sakai SlidesKimberly Eke
 
Old Data Seeks Good Home Migrating Review Data
Old Data Seeks Good Home Migrating Review DataOld Data Seeks Good Home Migrating Review Data
Old Data Seeks Good Home Migrating Review DataIpro Tech
 
Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.FIAT/IFTA
 
Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.FIAT/IFTA
 
Archiving Best Practices -- Creative Operations Essentials
Archiving Best Practices -- Creative Operations EssentialsArchiving Best Practices -- Creative Operations Essentials
Archiving Best Practices -- Creative Operations Essentialsglobaledit®
 
DCSF19 Containerized Databases for Enterprise Applications
DCSF19 Containerized Databases for Enterprise ApplicationsDCSF19 Containerized Databases for Enterprise Applications
DCSF19 Containerized Databases for Enterprise ApplicationsDocker, Inc.
 
Open archive islandora-channel-training
Open archive islandora-channel-trainingOpen archive islandora-channel-training
Open archive islandora-channel-trainingscottmertz
 
Practical Best Practices for Data Management
Practical Best Practices for Data ManagementPractical Best Practices for Data Management
Practical Best Practices for Data ManagementUW Research Data Services
 
Polyglottany Is Not A Sin
Polyglottany Is Not A SinPolyglottany Is Not A Sin
Polyglottany Is Not A SinEric Lubow
 
iPad project - Moving forward
iPad project - Moving forwardiPad project - Moving forward
iPad project - Moving forwardNicolas Forsans
 
IMD102 Chapter 1
IMD102 Chapter 1IMD102 Chapter 1
IMD102 Chapter 1UiTM
 

Similaire à Data Management Planning for PhDs (20)

20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅
20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅
20170222 ku-librarians勉強会 #211 :海外研修報告:英国大学図書館を北から南へ巡る旅
 
Introduction to digital curation
Introduction to digital curationIntroduction to digital curation
Introduction to digital curation
 
Preventing data loss
Preventing data lossPreventing data loss
Preventing data loss
 
Lecture 01 Evolution of Decision Support Systems
Lecture 01 Evolution of Decision Support SystemsLecture 01 Evolution of Decision Support Systems
Lecture 01 Evolution of Decision Support Systems
 
Creating a Data Management Plan
Creating a Data Management PlanCreating a Data Management Plan
Creating a Data Management Plan
 
JOMC MATC Sakai Slides
JOMC MATC Sakai SlidesJOMC MATC Sakai Slides
JOMC MATC Sakai Slides
 
Corrin What Comes Next
Corrin What Comes NextCorrin What Comes Next
Corrin What Comes Next
 
Old Data Seeks Good Home Migrating Review Data
Old Data Seeks Good Home Migrating Review DataOld Data Seeks Good Home Migrating Review Data
Old Data Seeks Good Home Migrating Review Data
 
Batch Document Processing with ImageRamp Batch
Batch Document Processing with ImageRamp BatchBatch Document Processing with ImageRamp Batch
Batch Document Processing with ImageRamp Batch
 
Escaping Datageddon
Escaping DatageddonEscaping Datageddon
Escaping Datageddon
 
Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.
 
Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.Maintaining a Personal Collection. Richard Wright.
Maintaining a Personal Collection. Richard Wright.
 
Archiving Best Practices -- Creative Operations Essentials
Archiving Best Practices -- Creative Operations EssentialsArchiving Best Practices -- Creative Operations Essentials
Archiving Best Practices -- Creative Operations Essentials
 
DCSF19 Containerized Databases for Enterprise Applications
DCSF19 Containerized Databases for Enterprise ApplicationsDCSF19 Containerized Databases for Enterprise Applications
DCSF19 Containerized Databases for Enterprise Applications
 
Open archive islandora-channel-training
Open archive islandora-channel-trainingOpen archive islandora-channel-training
Open archive islandora-channel-training
 
What is-rdm
What is-rdmWhat is-rdm
What is-rdm
 
Practical Best Practices for Data Management
Practical Best Practices for Data ManagementPractical Best Practices for Data Management
Practical Best Practices for Data Management
 
Polyglottany Is Not A Sin
Polyglottany Is Not A SinPolyglottany Is Not A Sin
Polyglottany Is Not A Sin
 
iPad project - Moving forward
iPad project - Moving forwardiPad project - Moving forward
iPad project - Moving forward
 
IMD102 Chapter 1
IMD102 Chapter 1IMD102 Chapter 1
IMD102 Chapter 1
 

Plus de Sarah Jones

Data training tips and tricks
Data training tips and tricksData training tips and tricks
Data training tips and tricksSarah Jones
 
EOSC and libraries
EOSC and librariesEOSC and libraries
EOSC and librariesSarah Jones
 
EOSC Association priorities and activities
EOSC Association priorities and activitiesEOSC Association priorities and activities
EOSC Association priorities and activitiesSarah Jones
 
Managing and sharing data: lessons from the European context
Managing and sharing data: lessons from the European contextManaging and sharing data: lessons from the European context
Managing and sharing data: lessons from the European contextSarah Jones
 
Reflections on Open Science
Reflections on Open ScienceReflections on Open Science
Reflections on Open ScienceSarah Jones
 
MAR comments analysis
MAR comments analysisMAR comments analysis
MAR comments analysisSarah Jones
 
Introduction to Open Science and EOSC
Introduction to Open Science and EOSCIntroduction to Open Science and EOSC
Introduction to Open Science and EOSCSarah Jones
 
EOSC-MAR-update.pptx
EOSC-MAR-update.pptxEOSC-MAR-update.pptx
EOSC-MAR-update.pptxSarah Jones
 
Why is EOSC so hard?
Why is EOSC so hard?Why is EOSC so hard?
Why is EOSC so hard?Sarah Jones
 
The future of FAIR
The future of FAIRThe future of FAIR
The future of FAIRSarah Jones
 
Data Management Planning for researchers
Data Management Planning for researchersData Management Planning for researchers
Data Management Planning for researchersSarah Jones
 
Is Europe ready for Open Science
Is Europe ready for Open ScienceIs Europe ready for Open Science
Is Europe ready for Open ScienceSarah Jones
 
DMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessonsDMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessonsSarah Jones
 
Do & don't of supporting Open Science
Do & don't of supporting Open ScienceDo & don't of supporting Open Science
Do & don't of supporting Open ScienceSarah Jones
 
Why institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIRWhy institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIRSarah Jones
 
It takes more than a village: lessons on building global research commons
It takes more than a village: lessons on building global research commonsIt takes more than a village: lessons on building global research commons
It takes more than a village: lessons on building global research commonsSarah Jones
 
DMPTuuli - what's new?
DMPTuuli - what's new?DMPTuuli - what's new?
DMPTuuli - what's new?Sarah Jones
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiativesSarah Jones
 

Plus de Sarah Jones (20)

Data training tips and tricks
Data training tips and tricksData training tips and tricks
Data training tips and tricks
 
EOSC and libraries
EOSC and librariesEOSC and libraries
EOSC and libraries
 
EOSC Association priorities and activities
EOSC Association priorities and activitiesEOSC Association priorities and activities
EOSC Association priorities and activities
 
Managing and sharing data: lessons from the European context
Managing and sharing data: lessons from the European contextManaging and sharing data: lessons from the European context
Managing and sharing data: lessons from the European context
 
Reflections on Open Science
Reflections on Open ScienceReflections on Open Science
Reflections on Open Science
 
MAR comments analysis
MAR comments analysisMAR comments analysis
MAR comments analysis
 
Introduction to Open Science and EOSC
Introduction to Open Science and EOSCIntroduction to Open Science and EOSC
Introduction to Open Science and EOSC
 
EOSC-MAR-update.pptx
EOSC-MAR-update.pptxEOSC-MAR-update.pptx
EOSC-MAR-update.pptx
 
Intro-EOSC.pptx
Intro-EOSC.pptxIntro-EOSC.pptx
Intro-EOSC.pptx
 
Why is EOSC so hard?
Why is EOSC so hard?Why is EOSC so hard?
Why is EOSC so hard?
 
The future of FAIR
The future of FAIRThe future of FAIR
The future of FAIR
 
Data Management Planning for researchers
Data Management Planning for researchersData Management Planning for researchers
Data Management Planning for researchers
 
Is Europe ready for Open Science
Is Europe ready for Open ScienceIs Europe ready for Open Science
Is Europe ready for Open Science
 
DMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessonsDMPonline: 10 years, 10 lessons
DMPonline: 10 years, 10 lessons
 
Do & don't of supporting Open Science
Do & don't of supporting Open ScienceDo & don't of supporting Open Science
Do & don't of supporting Open Science
 
Why institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIRWhy institutions need to raise their capabilities to support FAIR
Why institutions need to raise their capabilities to support FAIR
 
It takes more than a village: lessons on building global research commons
It takes more than a village: lessons on building global research commonsIt takes more than a village: lessons on building global research commons
It takes more than a village: lessons on building global research commons
 
DMPTuuli - what's new?
DMPTuuli - what's new?DMPTuuli - what's new?
DMPTuuli - what's new?
 
DCC and FAIR initiatives
DCC and FAIR initiativesDCC and FAIR initiatives
DCC and FAIR initiatives
 
Intro to RDM
Intro to RDMIntro to RDM
Intro to RDM
 

Data Management Planning for PhDs

  • 1. Data Management Planning Sarah Jones Digital Curation Centre sarah.jones@glasgow.ac.uk Funded by: •PhD workshop, University of Northampton
  • 2. What is research data management? •5. •1. “the active management and •Preservation •& Re-Use •Create appraisal of data over the lifecycle of scholarly and scientific interest” •4. •2. •Publication •Active Use •& Deposit Data management is part of •3. •Documentation good research practice
  • 3. What is a data management plan? A brief plan written at the start of your project to define: • how your data will be created? • how it will be documented? • who will access it? • where it will be stored? • who will back it up? • whether (and how) it will be shared & preserved? DMPs are often submitted as part of grant applications, but are useful whenever you’re creating data.
  • 4. Why develop a DMP? • to help you manage your data • to make informed decisions so you don’t have to figure out things as you go • to anticipate and avoid problems e.g. data loss • to make your life easier!
  • 5. What should a DMP cover? 1. What data will you produce? 2. How will you organise / look after the data? 3. How will you document the data? 4. What data will be deposited and where? 5. Who will be interested in re-using the data?
  • 6. •1. What data will you produce? • What type of data will •5. •Preservation •1. you produce? •Create •& Re-Use • What types of file format? •4. •Publication •2. •Active Use • How easy is it to create •& Deposit or reproduce? •3. •Documentation • Who owns and is responsible for it?
  • 7. •2. How will you look after the data? •5. • Is your data safe? •1. •Preservation •Create • How is your data •& Re-Use backed up? •4. •2. • Can you access it •Publication •& Deposit •Active Use when you need to? •3. • Is your data organised? •Documentation
  • 8. •3. How will you document the data? • Do you still understand •5. •1. your older work? •Preservation •Create •& Re-Use • Is the file structure / naming understandable? •4. •Publication •2. • Are there standards you •Active Use •& Deposit can use? •3. •Documentation • How do you handle versions?
  • 9. •4. What data will be deposited and where? • Are you expected to •5. •1. share your data? •Preservation •Create •& Re-Use • Are you allowed to share your data? •4. •Publication •2. • Which data will be •& Deposit •Active Use included in your publication / thesis? •3. •Documentation • Which can be discarded?
  • 10. •5. Preservation and Re-use • How long will your data •5. •Preservation •1. •Create be reusable for? •& Re-Use • Do you need to prepare your data to deposit in •4. •Publication •2. •Active Use an archive? •& Deposit •3. • How will you make sure •Documentation you get citations & impact?
  • 11. A useful framework to get you started •Think about why the questions are being asked – why is it useful to consider that? •Look at examples to help you understand what to write •www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
  • 12. Help from the DCC •https://dmponline.dcc.ac.uk •www.dcc.ac.uk/resources/how-guides/develop-data-plan
  • 13. ...a web-based tool to help researchers write Data Management Plans according to different funder requirements We’re currently enhancing it with practical examples, boilerplate text and tailored support https://dmponline.dcc.ac.uk
  • 14. How DMP Online works Create a plan based on relevant funder / institutional templates... ...and then answer the questions using the guidance provided
  • 15. Tips for writing DMPs • Seek advice - consult and collaborate • Consider good practice for your field • Base plans on available skills & support • Make sure implementation is feasible
  • 16. Sources of guidance • ICPSR framework for a data management plan www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/ framework.html • How to develop a data management and sharing plan www.dcc.ac.uk/resources/how-guides/develop-data-plan • UKDA’s manage and share your data guide • http://data-archive.ac.uk/media/2894/managingsharing.pdf
  • 17. Thanks - any questions? Content for this sessions has been taken from Research360, a Jisc funded project which developed DMP resources for PhD students: http://blogs.bath.ac.uk/research360/category/training
  • 18. Exercise: writing a DMP • Fill in the template based on your PhD • Discuss your plan – Did you know what to write? – Were the questions clear / understandable? – Was it useful to think about these issues?

Notes de l'éditeur

  1. I recommend this ICPSR resource It explains the importance of different questions as a pointer to how to answer Examples are given. This is the most frequent request we get at DCC - examples help researchers think of what to write for their context
  2. The DCC has produced a How to guide on writing DMPs and developed a tool to help
  3. There are various templates in DMP Online based on different funder requirements and institutional customisations