SlideShare ist ein Scribd-Unternehmen logo
1 von 14
Downloaden Sie, um offline zu lesen
LSHTM’S RESEARCH DATA MANAGEMENT POLICY 
This work is licensed under aCreative Commons Attribution 2.0 UK: England & Wales License 
Gareth Knight 
gareth.knight@lshtm.ac.uk 
6 -7 November 2014 
An overview of School expectations
Research Data Management Policy 
•Research data is a key asset that contributes to the School’s objectives of encouraging rigorous scientific enquiry 
•Data management is an integral part of good research practice that protects the intellectual and financial investment made in the data’s creation and enables it to be shared and validated. 
•The RDM Policy describes a set of principles that contribute to the management of research data in accordance with good research practice 
Web version: 
http://www.lshtm.ac.uk/research/researchdataman/rdm_policy_summary.html 
PDF version: 
http://researchonline.lshtm.ac.uk/612422/
Data Management Principles 
1.Understand the legal, regulatory & contractual environment in which you're performing research 
2.Clarify rights for ownership, access and use of data 
3.Write a Data Management Plan before you start a project 
4.Create a metadata record to recognisedata's existence 
5.Store research data in a managed environment while it's being developed 
6.Offer research data to a repository or enclave when you've finished it 
7.Consider making research data available for others to access & use 
8.Cite the metadata record of data so others can find it 
9.Ask your research funder to fund data management and sharing activities 
Identify research topic & funding 
Perform literature review 
Develop research plan 
Upgrading seminar 
Perform research 
Write-up results 
Produce several drafts 
Finalise & submit
1. Research Environment 
“Research data must be created, maintained and shared in accordance with contractual, legislative, regulatory, ethical & other relevant requirements” 
•Recognise that research environment is highly regulated, subject to obligations: 
–Local (see right) 
–National (FOI) 
–International (EU Directive) 
•Researchers expected to maintain awareness of obligations and apply appropriate practices. 
Guidelines on Good Research Practicehttp://www.lshtm.ac.uk/research/about/ guidelines_on_good_research_practice.pdf 
LSHTM Data Protection Policyhttp://intra.lshtm.ac.uk/infoman/data/index.html 
LSHTM Information Management and Security Policyhttp://www.lshtm.ac.uk/its/informationsecurity/ policy/index.html 
LSHTM Records Retention & Disposal Schedulehttp://intra.lshtm.ac.uk/infoman/records/ retention.html 
Clinical Trial Data Management SOPhttps://intra.lshtm.ac.uk/trials/sops/index.html
2. Rights Framework 
“Rights assigned to research data should not unnecessarily 
restrict its management, sharing, or use” 
•IPR should be documented in a clear, unambiguous manner at appropriate granularity. 
–Moral rights 
–Ownership rights 
–Access rights & permitted use 
•Don’t sign away rights, unless necessary 
•A non-exclusive licence encouraged, enabling user by multiple people 
•Common examples include Creative Commons, Open Data Commons & Data Transfer Agreement 
LSHTM: Choose a Data Licence 
http://www.lshtm.ac.uk/research/researchdataman/share/choose_licence.html
3. Data Management Plan 
“A Data Management Plan should be produced for 
all research projects that are creating or capturing data” 
•A DMP will be required by all research projects that are: 
–Led by LSHTM 
–Submitted from Jan 2015 & receive funding confirmation 
–Supported using public/private funding sources 
–Are creating primary data in digital form. 
•PI may submit a DM Plan using the: 
–Research funder template 
–School template 
•MPhil/PhD/DrPHstudents encouraged to agree a DMP with supervisor & submit in Upgrading or Review report 
Research projects:http://www.lshtm.ac.uk/research/researchdataman/plan/lshtm_dmplan.html 
Student Projects: http://www.lshtm.ac.uk/research/researchdataman/plan/student_dmp.html
4. Recognise data’s existence 
“Research data created or captured by researchers must be registered with the School, irrespective of whether it is hosted at the School or elsewhere” 
•Description of data that is suitable for sharing: 
–What is it? 
–When was it created? 
–How was it captured? 
–Who created it? 
•Time period for capture will depend upon project length: 
–Final 3 months of funding for most projects 
–Completion of work unit in longitudinal study 
•Metadata made public in Data Repository, unless requested otherwise
5. Data Storage 
“Research data must be held in a managed storage environment throughout the period of retention” 
•Data must be kept for minimum 10 years after project end 
•Storage system protect against loss and corruption, unauthorised access and modification 
•System may be operated by School or 3rdparty 
•If institutional storage not available, researcher should maintain data integrity and security 
Keep Data Secure: http://www.lshtm.ac.uk/research/researchdataman/store/ 
Information Security: http://www.lshtm.ac.uk/its/informationsecurity/
6. Data Repository 
“Research data… should be offered to an appropriate data repository or enclave designated by the School or Funder, except in circumstances that would breach IPR, ethical, confidentiality, or other obligations” 
•Data should be curated & preserved after project end 
•Data repositories better equipped to handle process 
•Many data repositories exist, including LSHTM, Figshare, UK Data Service, and others 
•Most repositories will accept data for preservation only & won’t share it, but not all 
LSHTM: Locate a Data Repository 
http://www.lshtm.ac.uk/research/researchdataman/share/locate_datarepository.html
7. Data Sharing 
“Research data that substantiate research findings should be made available for access and use in a timely manner, within the boundaries of… contractual, legislative, ethical, or other requirements” 
•Data sharing advances research & education in public health 
•Not all data is suitable for sharing, but if it is… 
•Data may be shared at different intervals: 
–During project lifetime 
–Same time as publication 
–Project close 
–Following embargo (e.g. 1-years) 
•Liaise with RDM Service to determine sharing needs 
Sharing Research Data: Identifying what to share & when 
http://www.lshtm.ac.uk/research/researchdataman/share/
8. Data Citation 
“Research data produced and/or used during 
research must be cited in research outputs” 
•Good research practice built on recognition of all source material 
•Enables validation of findings and enables unique contribution of data creator to be recognised 
•Funders & journals request an Access statement indicating how data is accessed 
•A persistent ID scheme should be used, e.g. Digital Object Identifier (DOI), Handle 
LSHTM: Cite Data 
http://www.lshtm.ac.uk/research/researchdataman/cite
9. Data Management Costs 
“Management and sharing of research data should be supported through the allocation of research funding, where permitted” 
•No expenditure can be ‘double funded' using Direct & Indirect costs 
•Post-project costs can be claimed as direct cost if invoiced before project end 
•Budget & Justification of Resources should broadly indicate where RDM costs arise (e.g. data capture & cleaning) 
•Long-term storage cannot be claimed if funder requires deposit in a funder repository 
•Unforeseen data management costs incurred after project end will not be supported by the funder 
Funder 
RDMCosts 
RCUK (MRC, NERC,etc.) 
Yes 
WellcomeTrust 
Yes 
Gates Foundation 
Yes 
Deptfor International Developments (DfID) 
Yes 
Cancer Research UK 
No 
World Cancer Research Fund 
No 
Others 
Unknown 
LSHTM: Calculating Data Management Costs 
http://www.lshtm.ac.uk/research/researchdataman/plan/rdm_costs.html
Further Information 
Guides & tutorials on: 
•Data Management Plans 
•File formats and software 
•Data storage & security 
•Data labelling and organisation 
•Documentation & metadata 
•Data sharing & citation 
Available on the RDM website 
One-to-one advice & guidance: 
•Email: researchdatamanagement@lshtm.ac.uk 
•Telephone: #2564 
http://www.lshtm.ac.uk/research/researchdataman/
Image Credits 
Slide 7: https://www.flickr.com/photos/viagallery/3179536624 
Slide 9: https://www.flickr.com/photos/ryanr/142455033/

Weitere ähnliche Inhalte

Was ist angesagt?

Data sharing: How, what and why?
Data sharing: How, what and why?Data sharing: How, what and why?
Data sharing: How, what and why?dancrane_open
 
RDM policy and recovering costs
RDM policy and recovering costsRDM policy and recovering costs
RDM policy and recovering costsSarah Jones
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Historic Environment Scotland
 
Research data spring: extending the OPD to cover RDM
Research data spring: extending the OPD to cover RDMResearch data spring: extending the OPD to cover RDM
Research data spring: extending the OPD to cover RDMJisc RDM
 
DMP health sciences
DMP health sciencesDMP health sciences
DMP health sciencesSarah Jones
 
Introduction to Research Data Management at Lancaster University
Introduction to Research Data Management at Lancaster UniversityIntroduction to Research Data Management at Lancaster University
Introduction to Research Data Management at Lancaster UniversityLancaster University Library
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management PlansSarah Jones
 
Research data management at TU Eindhoven
Research data management at TU EindhovenResearch data management at TU Eindhoven
Research data management at TU EindhovenLeon Osinski
 
Working with Research Data
Working with Research DataWorking with Research Data
Working with Research Datadancrane_open
 
Research Data Management, Challenges and Tools - Per Öster
Research Data Management, Challenges and Tools - Per Öster Research Data Management, Challenges and Tools - Per Öster
Research Data Management, Challenges and Tools - Per Öster LEARN Project
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilotSarah Jones
 
Stop press: should embargo conditions apply to metadata?
Stop press: should embargo conditions apply to metadata?Stop press: should embargo conditions apply to metadata?
Stop press: should embargo conditions apply to metadata?Jisc RDM
 
EPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowEPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowHistoric Environment Scotland
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyRobin Rice
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
 

Was ist angesagt? (19)

Data sharing: How, what and why?
Data sharing: How, what and why?Data sharing: How, what and why?
Data sharing: How, what and why?
 
RDM policy and recovering costs
RDM policy and recovering costsRDM policy and recovering costs
RDM policy and recovering costs
 
Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...Supporting the development of a national Research Data Discovery Service - A ...
Supporting the development of a national Research Data Discovery Service - A ...
 
Research data spring: extending the OPD to cover RDM
Research data spring: extending the OPD to cover RDMResearch data spring: extending the OPD to cover RDM
Research data spring: extending the OPD to cover RDM
 
DMP health sciences
DMP health sciencesDMP health sciences
DMP health sciences
 
Introduction to Research Data Management at Lancaster University
Introduction to Research Data Management at Lancaster UniversityIntroduction to Research Data Management at Lancaster University
Introduction to Research Data Management at Lancaster University
 
Intro to Data Management Plans
Intro to Data Management PlansIntro to Data Management Plans
Intro to Data Management Plans
 
Research data management at TU Eindhoven
Research data management at TU EindhovenResearch data management at TU Eindhoven
Research data management at TU Eindhoven
 
RDM & ELNs @ Edinburgh
RDM & ELNs @ EdinburghRDM & ELNs @ Edinburgh
RDM & ELNs @ Edinburgh
 
Preparing Research Data for Sharing
Preparing Research Data for SharingPreparing Research Data for Sharing
Preparing Research Data for Sharing
 
Working with Research Data
Working with Research DataWorking with Research Data
Working with Research Data
 
RDM for trainee physicians
RDM for trainee physiciansRDM for trainee physicians
RDM for trainee physicians
 
Research Data Management, Challenges and Tools - Per Öster
Research Data Management, Challenges and Tools - Per Öster Research Data Management, Challenges and Tools - Per Öster
Research Data Management, Challenges and Tools - Per Öster
 
H2020 open-data-pilot
H2020 open-data-pilotH2020 open-data-pilot
H2020 open-data-pilot
 
Stop press: should embargo conditions apply to metadata?
Stop press: should embargo conditions apply to metadata?Stop press: should embargo conditions apply to metadata?
Stop press: should embargo conditions apply to metadata?
 
Research Data Management: Why is it important?
Research Data Management: Why is it  important?Research Data Management: Why is it  important?
Research Data Management: Why is it important?
 
EPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowEPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to know
 
Research Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional PolicyResearch Data Management: Approaches to Institutional Policy
Research Data Management: Approaches to Institutional Policy
 
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATResearch Data Management: An Introductory Webinar from OpenAIRE and EUDAT
Research Data Management: An Introductory Webinar from OpenAIRE and EUDAT
 

Ähnlich wie LSHTM Research Data Management Policy: An Overview

Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationHistoric Environment Scotland
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationEDINA, University of Edinburgh
 
EPSRC research data expectations and research software management
EPSRC research data expectations and research software managementEPSRC research data expectations and research software management
EPSRC research data expectations and research software managementHistoric Environment Scotland
 
EPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowEPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowEDINA, University of Edinburgh
 
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013SALCTG
 
Guidelines for OSTP Data Access Plans
Guidelines for OSTP Data Access PlansGuidelines for OSTP Data Access Plans
Guidelines for OSTP Data Access PlansICPSR
 
RDM in higher education
RDM in higher educationRDM in higher education
RDM in higher educationSarah Jones
 
Creating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchCreating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchRobin Rice
 
Data sharing: How, what and why?
Data sharing: How, what and why?Data sharing: How, what and why?
Data sharing: How, what and why?dancrane_open
 
Data Management Planning for Engineers
Data Management Planning for EngineersData Management Planning for Engineers
Data Management Planning for EngineersSherry Lake
 
Getting to grips with Research Data Management
Getting to grips with Research Data ManagementGetting to grips with Research Data Management
Getting to grips with Research Data ManagementIzzyChad
 
RDMRose 1.4 The research data lifecycle
RDMRose 1.4 The research data lifecycleRDMRose 1.4 The research data lifecycle
RDMRose 1.4 The research data lifecycleRDMRose
 
Managing Your Research Data for Maximum Impact -Rob Daley 300616_Shared
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedManaging Your Research Data for Maximum Impact -Rob Daley 300616_Shared
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedRob Daley
 

Ähnlich wie LSHTM Research Data Management Policy: An Overview (20)

Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
Creating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant ApplicationCreating a Data Management Plan for your Grant Application
Creating a Data Management Plan for your Grant Application
 
EPSRC research data expectations and research software management
EPSRC research data expectations and research software managementEPSRC research data expectations and research software management
EPSRC research data expectations and research software management
 
EPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to knowEPSRC Policy Compliance: What researchers need to know
EPSRC Policy Compliance: What researchers need to know
 
Introduction to RDM for Geoscience PhD Students
Introduction to RDM for Geoscience PhD StudentsIntroduction to RDM for Geoscience PhD Students
Introduction to RDM for Geoscience PhD Students
 
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013
Joy Davidson “Data Management Planning: an introduction” SALCTG June 2013
 
Guidelines for OSTP Data Access Plans
Guidelines for OSTP Data Access PlansGuidelines for OSTP Data Access Plans
Guidelines for OSTP Data Access Plans
 
RDM: a briefing for Health Sciences
RDM: a briefing for Health SciencesRDM: a briefing for Health Sciences
RDM: a briefing for Health Sciences
 
RDM in higher education
RDM in higher educationRDM in higher education
RDM in higher education
 
An RDM Service for Health Researchers: LSHTM Case Study
An RDM Service for Health Researchers: LSHTM Case StudyAn RDM Service for Health Researchers: LSHTM Case Study
An RDM Service for Health Researchers: LSHTM Case Study
 
RDM@Edinburgh
RDM@EdinburghRDM@Edinburgh
RDM@Edinburgh
 
Creating a Data Management Plan for your Research
Creating a Data Management Plan for your ResearchCreating a Data Management Plan for your Research
Creating a Data Management Plan for your Research
 
Data sharing: How, what and why?
Data sharing: How, what and why?Data sharing: How, what and why?
Data sharing: How, what and why?
 
RDM@Edinburgh
RDM@EdinburghRDM@Edinburgh
RDM@Edinburgh
 
Data Management Planning for Engineers
Data Management Planning for EngineersData Management Planning for Engineers
Data Management Planning for Engineers
 
Getting to grips with Research Data Management
Getting to grips with Research Data ManagementGetting to grips with Research Data Management
Getting to grips with Research Data Management
 
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
 
RDMRose 1.4 The research data lifecycle
RDMRose 1.4 The research data lifecycleRDMRose 1.4 The research data lifecycle
RDMRose 1.4 The research data lifecycle
 
Managing Your Research Data for Maximum Impact -Rob Daley 300616_Shared
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedManaging Your Research Data for Maximum Impact -Rob Daley 300616_Shared
Managing Your Research Data for Maximum Impact -Rob Daley 300616_Shared
 
RDM @ UoE
RDM @ UoERDM @ UoE
RDM @ UoE
 

Mehr von London School of Hygiene and Tropical Medicine

Mehr von London School of Hygiene and Tropical Medicine (20)

Preparing to submit your thesis at LSHTM
Preparing to submit your thesis at LSHTMPreparing to submit your thesis at LSHTM
Preparing to submit your thesis at LSHTM
 
Your research is more than a thesis: Make the most of research data and other...
Your research is more than a thesis: Make the most of research data and other...Your research is more than a thesis: Make the most of research data and other...
Your research is more than a thesis: Make the most of research data and other...
 
Enhance your rese​arch impact through open science
Enhance your rese​arch impact through open scienceEnhance your rese​arch impact through open science
Enhance your rese​arch impact through open science
 
Information Security and GDPR
Information Security and GDPRInformation Security and GDPR
Information Security and GDPR
 
GDPR and Research Data Management
GDPR and Research Data ManagementGDPR and Research Data Management
GDPR and Research Data Management
 
Towards Open Research: practices, experiences, barriers and opportunities
Towards Open Research: practices, experiences, barriers and opportunitiesTowards Open Research: practices, experiences, barriers and opportunities
Towards Open Research: practices, experiences, barriers and opportunities
 
Data Journals and repositories: Getting academic credit for data sharing
Data Journals and repositories: Getting academic credit for data sharingData Journals and repositories: Getting academic credit for data sharing
Data Journals and repositories: Getting academic credit for data sharing
 
Crowd sourcing and high resolution satellite imagery in public health
Crowd sourcing and high resolution satellite imagery in public healthCrowd sourcing and high resolution satellite imagery in public health
Crowd sourcing and high resolution satellite imagery in public health
 
Determining the relationship between physical environment and weight status u...
Determining the relationship between physical environment and weight status u...Determining the relationship between physical environment and weight status u...
Determining the relationship between physical environment and weight status u...
 
i-Sense: an early-warning sensing systems for infectious diseases
i-Sense: an early-warning sensing systems for infectious diseasesi-Sense: an early-warning sensing systems for infectious diseases
i-Sense: an early-warning sensing systems for infectious diseases
 
Internet-based surveillance of illness: the FluSurvey platform
Internet-based surveillance of illness: the FluSurvey platformInternet-based surveillance of illness: the FluSurvey platform
Internet-based surveillance of illness: the FluSurvey platform
 
An overview of the MyHeart Counts app
An overview of the MyHeart Counts appAn overview of the MyHeart Counts app
An overview of the MyHeart Counts app
 
Electronic data collection for a modular household survey in Ethiopia
Electronic data collection for a modular household survey in EthiopiaElectronic data collection for a modular household survey in Ethiopia
Electronic data collection for a modular household survey in Ethiopia
 
Mobile-Based Experience Sampling for Behaviour Research
Mobile-Based Experience Sampling for Behaviour ResearchMobile-Based Experience Sampling for Behaviour Research
Mobile-Based Experience Sampling for Behaviour Research
 
Preparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR PrinciplesPreparing Data for Sharing: The FAIR Principles
Preparing Data for Sharing: The FAIR Principles
 
RDM Training for health researchers: An institutional perspective
RDM Training for health researchers: An institutional perspectiveRDM Training for health researchers: An institutional perspective
RDM Training for health researchers: An institutional perspective
 
Research Data Readiness in UK Institutions: Digital Curation Centre’s 2015 Su...
Research Data Readiness in UK Institutions: Digital Curation Centre’s 2015 Su...Research Data Readiness in UK Institutions: Digital Curation Centre’s 2015 Su...
Research Data Readiness in UK Institutions: Digital Curation Centre’s 2015 Su...
 
Research data services at the University of Oxford
Research data services at the University of OxfordResearch data services at the University of Oxford
Research data services at the University of Oxford
 
Research Data Management at The University of Edinburgh
Research Data Management at The University of EdinburghResearch Data Management at The University of Edinburgh
Research Data Management at The University of Edinburgh
 
Research data management at UAL
Research data management at UALResearch data management at UAL
Research data management at UAL
 

Kürzlich hochgeladen

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...gurkirankumar98700
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
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 WorkerThousandEyes
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 

Kürzlich hochgeladen (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 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
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 

LSHTM Research Data Management Policy: An Overview

  • 1. LSHTM’S RESEARCH DATA MANAGEMENT POLICY This work is licensed under aCreative Commons Attribution 2.0 UK: England & Wales License Gareth Knight gareth.knight@lshtm.ac.uk 6 -7 November 2014 An overview of School expectations
  • 2. Research Data Management Policy •Research data is a key asset that contributes to the School’s objectives of encouraging rigorous scientific enquiry •Data management is an integral part of good research practice that protects the intellectual and financial investment made in the data’s creation and enables it to be shared and validated. •The RDM Policy describes a set of principles that contribute to the management of research data in accordance with good research practice Web version: http://www.lshtm.ac.uk/research/researchdataman/rdm_policy_summary.html PDF version: http://researchonline.lshtm.ac.uk/612422/
  • 3. Data Management Principles 1.Understand the legal, regulatory & contractual environment in which you're performing research 2.Clarify rights for ownership, access and use of data 3.Write a Data Management Plan before you start a project 4.Create a metadata record to recognisedata's existence 5.Store research data in a managed environment while it's being developed 6.Offer research data to a repository or enclave when you've finished it 7.Consider making research data available for others to access & use 8.Cite the metadata record of data so others can find it 9.Ask your research funder to fund data management and sharing activities Identify research topic & funding Perform literature review Develop research plan Upgrading seminar Perform research Write-up results Produce several drafts Finalise & submit
  • 4. 1. Research Environment “Research data must be created, maintained and shared in accordance with contractual, legislative, regulatory, ethical & other relevant requirements” •Recognise that research environment is highly regulated, subject to obligations: –Local (see right) –National (FOI) –International (EU Directive) •Researchers expected to maintain awareness of obligations and apply appropriate practices. Guidelines on Good Research Practicehttp://www.lshtm.ac.uk/research/about/ guidelines_on_good_research_practice.pdf LSHTM Data Protection Policyhttp://intra.lshtm.ac.uk/infoman/data/index.html LSHTM Information Management and Security Policyhttp://www.lshtm.ac.uk/its/informationsecurity/ policy/index.html LSHTM Records Retention & Disposal Schedulehttp://intra.lshtm.ac.uk/infoman/records/ retention.html Clinical Trial Data Management SOPhttps://intra.lshtm.ac.uk/trials/sops/index.html
  • 5. 2. Rights Framework “Rights assigned to research data should not unnecessarily restrict its management, sharing, or use” •IPR should be documented in a clear, unambiguous manner at appropriate granularity. –Moral rights –Ownership rights –Access rights & permitted use •Don’t sign away rights, unless necessary •A non-exclusive licence encouraged, enabling user by multiple people •Common examples include Creative Commons, Open Data Commons & Data Transfer Agreement LSHTM: Choose a Data Licence http://www.lshtm.ac.uk/research/researchdataman/share/choose_licence.html
  • 6. 3. Data Management Plan “A Data Management Plan should be produced for all research projects that are creating or capturing data” •A DMP will be required by all research projects that are: –Led by LSHTM –Submitted from Jan 2015 & receive funding confirmation –Supported using public/private funding sources –Are creating primary data in digital form. •PI may submit a DM Plan using the: –Research funder template –School template •MPhil/PhD/DrPHstudents encouraged to agree a DMP with supervisor & submit in Upgrading or Review report Research projects:http://www.lshtm.ac.uk/research/researchdataman/plan/lshtm_dmplan.html Student Projects: http://www.lshtm.ac.uk/research/researchdataman/plan/student_dmp.html
  • 7. 4. Recognise data’s existence “Research data created or captured by researchers must be registered with the School, irrespective of whether it is hosted at the School or elsewhere” •Description of data that is suitable for sharing: –What is it? –When was it created? –How was it captured? –Who created it? •Time period for capture will depend upon project length: –Final 3 months of funding for most projects –Completion of work unit in longitudinal study •Metadata made public in Data Repository, unless requested otherwise
  • 8. 5. Data Storage “Research data must be held in a managed storage environment throughout the period of retention” •Data must be kept for minimum 10 years after project end •Storage system protect against loss and corruption, unauthorised access and modification •System may be operated by School or 3rdparty •If institutional storage not available, researcher should maintain data integrity and security Keep Data Secure: http://www.lshtm.ac.uk/research/researchdataman/store/ Information Security: http://www.lshtm.ac.uk/its/informationsecurity/
  • 9. 6. Data Repository “Research data… should be offered to an appropriate data repository or enclave designated by the School or Funder, except in circumstances that would breach IPR, ethical, confidentiality, or other obligations” •Data should be curated & preserved after project end •Data repositories better equipped to handle process •Many data repositories exist, including LSHTM, Figshare, UK Data Service, and others •Most repositories will accept data for preservation only & won’t share it, but not all LSHTM: Locate a Data Repository http://www.lshtm.ac.uk/research/researchdataman/share/locate_datarepository.html
  • 10. 7. Data Sharing “Research data that substantiate research findings should be made available for access and use in a timely manner, within the boundaries of… contractual, legislative, ethical, or other requirements” •Data sharing advances research & education in public health •Not all data is suitable for sharing, but if it is… •Data may be shared at different intervals: –During project lifetime –Same time as publication –Project close –Following embargo (e.g. 1-years) •Liaise with RDM Service to determine sharing needs Sharing Research Data: Identifying what to share & when http://www.lshtm.ac.uk/research/researchdataman/share/
  • 11. 8. Data Citation “Research data produced and/or used during research must be cited in research outputs” •Good research practice built on recognition of all source material •Enables validation of findings and enables unique contribution of data creator to be recognised •Funders & journals request an Access statement indicating how data is accessed •A persistent ID scheme should be used, e.g. Digital Object Identifier (DOI), Handle LSHTM: Cite Data http://www.lshtm.ac.uk/research/researchdataman/cite
  • 12. 9. Data Management Costs “Management and sharing of research data should be supported through the allocation of research funding, where permitted” •No expenditure can be ‘double funded' using Direct & Indirect costs •Post-project costs can be claimed as direct cost if invoiced before project end •Budget & Justification of Resources should broadly indicate where RDM costs arise (e.g. data capture & cleaning) •Long-term storage cannot be claimed if funder requires deposit in a funder repository •Unforeseen data management costs incurred after project end will not be supported by the funder Funder RDMCosts RCUK (MRC, NERC,etc.) Yes WellcomeTrust Yes Gates Foundation Yes Deptfor International Developments (DfID) Yes Cancer Research UK No World Cancer Research Fund No Others Unknown LSHTM: Calculating Data Management Costs http://www.lshtm.ac.uk/research/researchdataman/plan/rdm_costs.html
  • 13. Further Information Guides & tutorials on: •Data Management Plans •File formats and software •Data storage & security •Data labelling and organisation •Documentation & metadata •Data sharing & citation Available on the RDM website One-to-one advice & guidance: •Email: researchdatamanagement@lshtm.ac.uk •Telephone: #2564 http://www.lshtm.ac.uk/research/researchdataman/
  • 14. Image Credits Slide 7: https://www.flickr.com/photos/viagallery/3179536624 Slide 9: https://www.flickr.com/photos/ryanr/142455033/