This document provides an overview of research data sharing, including why data should be shared, how to prepare data for sharing, considerations around rights and ethics, and reusing shared data. The key points covered are the benefits of sharing data, funder and publisher policies requiring data plans and sharing, preparing data by adding documentation and using open formats, obtaining informed consent, and where to find shared data for reuse.
Data sharing is the practice of making research data openly available to others. It has many benefits including enabling innovation, improving transparency and research integrity, and increasing citations and impact. Major funders now require data sharing as a condition of funding. To share data, it must be prepared by documenting it with metadata and supporting files. This allows others to understand and use the data. Researchers are encouraged to share data in open repositories to maximize access and reuse. Proper preparation of data for sharing helps ensure data is FAIR - Findable, Accessible, Interoperable and Reusable.
This document discusses legal and ethical issues related to data sharing. It covers rights and copyright regarding data, how to address ethics when sharing personal data under GDPR, and obtaining consent from participants. Guidelines are provided for discovering and accessing shared data from repositories. Questions about data sharing are welcomed.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
OU Library Research Support webinar: Data sharingDaniel Crane
Slides from a webinar delivered on 06th February 2018 for OU research staff and students. Covers data sharing policies; Benefits of data sharing; Data repositories; Preparing data for sharing; and Re-using data.
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
An introduction to Research Data Management and Data Management Planning for research managers and administrators. The presentation was given at the Open University on 18th July 2013.
Data sharing is the practice of making research data openly available to others. It has many benefits including enabling innovation, improving transparency and research integrity, and increasing citations and impact. Major funders now require data sharing as a condition of funding. To share data, it must be prepared by documenting it with metadata and supporting files. This allows others to understand and use the data. Researchers are encouraged to share data in open repositories to maximize access and reuse. Proper preparation of data for sharing helps ensure data is FAIR - Findable, Accessible, Interoperable and Reusable.
This document discusses legal and ethical issues related to data sharing. It covers rights and copyright regarding data, how to address ethics when sharing personal data under GDPR, and obtaining consent from participants. Guidelines are provided for discovering and accessing shared data from repositories. Questions about data sharing are welcomed.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
OU Library Research Support webinar: Data sharingDaniel Crane
Slides from a webinar delivered on 06th February 2018 for OU research staff and students. Covers data sharing policies; Benefits of data sharing; Data repositories; Preparing data for sharing; and Re-using data.
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
An introduction to Research Data Management and Data Management Planning for research managers and administrators. The presentation was given at the Open University on 18th July 2013.
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedRob Daley
This document provides an overview of best practices for managing research data. It discusses why data management is important given changing policies from funders that require making data openly available. It outlines challenges for researchers in managing data and provides guidance on developing a data management plan to address issues like data types, access, storage, and long-term preservation. The document also covers topics like formatting data, addressing legal and ethical concerns, publishing and citing data, and tools like ORCID and DOIs to help maximize the impact of research data.
Getting to grips with research data management Wendy Mears
This document provides an overview of research data management. It defines research data management and discusses its importance. It also outlines the data lifecycle model and provides guidance on sharing data, working with data, planning for data management, and useful resources for research data management. The document aims to help researchers effectively manage the data created throughout the research process.
An overview of the LSHTM Research Data Management Policy, outlining the motivations for its introduction, obligations that need to be met and the support available
Practical Strategies for Research Data ManagementDaniel Crane
This document summarizes a presentation about practical strategies for research data management. It discusses what research data management is, working with data including file naming, formats, documentation and metadata, personal and sensitive data, and data storage and security. The presentation covers planning for data management, including creating a data management plan, and data sharing and reuse. It provides an overview of useful resources and asks if attendees have any questions.
Presentación de Joy Davidson, Digital Curation Centre (UK) en FOSTER event: Data Management Plan and Social Impact of Research. Universitat Jaume I, 27 mayo 2016
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
This document provides biographical and contact information for Professor Aboul Ella Hassanien, including that he is the founder and chair of the Scientific Research Group in Egypt and formerly served as dean of the faculty of computers and information at Beni-Suef University. It announces an upcoming presentation by Professor Hassanien on sharing scientific data, ethics, and consent taking place on January 20, 2018 at Cairo University.
This seminar discuss the important of the scientific data and how to plan data management and data sharing for your research. Also, discuss the research ethics and privacy in data sharing and intellectual property rights.
Data strategies for collaborative research, how to publish and cite research , and data opportunities and limitations in using other people's research data, illustrated with real-life data reuse cases will be discussed. The ways to share your research data and discuss the advantages and disadvantages for each of these ways of sharing data. The Egyptian 2017 data protection act and its principles. Finally, discuss practicality real cases.
This document discusses data management plans (DMPs), which are brief plans that define how research data will be created, documented, stored, shared, and preserved. DMPs are often required as part of grant applications. The document provides an overview of why DMPs are important, how they benefit researchers and institutions, and key aspects to address in a DMP such as data organization, stakeholders, and making data FAIR (findable, accessible, interoperable, and reusable). Examples of DMPs from real projects are also presented.
The document summarizes a pilot project at the University of Edinburgh to support the development of a UK Research Data Discovery Service. PhD interns engaged with researchers from various schools to describe and deposit research datasets in the university's systems to be harvested by the discovery service. Observations found mixed results across schools, with humanities researchers less comfortable sharing data due to copyright and reluctance to share interpretations. Other schools had established data repositories causing less interest in the university's system. Building research data management practices will require tailored approaches and more training over time.
Policies from funders, publishers, and universities increasingly require researchers to share their data. Sharing data brings benefits like enabling replication and innovation by other researchers, safeguarding research integrity, and potentially increasing citations. Researchers should select what data to share, prepare it with good documentation and open file formats, and consider using repositories. The library provides support for data management plans, preparation, and sharing through services like Open Research Data Online.
Research data management involves organizing data throughout the research lifecycle to ensure results can be verified and built upon. This presentation covered key aspects of research data management including creating a data management plan, file naming conventions, documentation, storage and security, and data sharing. The presentation emphasized starting early with data management to work more efficiently and protect data, and highlighted resources available from the Open University to help with all stages of effective research data management.
Introduction to research data managementdri_ireland
An Introduction to Research Data Management: slides from a presentation given online on May 12 2022, by Beth Knazook, Project Manager, Research Data. Covers topics such as: what are research data; why share research data; why DMPs are important; and where should you share your data?
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedRob Daley
This document provides an overview of best practices for managing research data. It discusses why data management is important given changing policies from funders that require making data openly available. It outlines challenges for researchers in managing data and provides guidance on developing a data management plan to address issues like data types, access, storage, and long-term preservation. The document also covers topics like formatting data, addressing legal and ethical concerns, publishing and citing data, and tools like ORCID and DOIs to help maximize the impact of research data.
Getting to grips with research data management Wendy Mears
This document provides an overview of research data management. It defines research data management and discusses its importance. It also outlines the data lifecycle model and provides guidance on sharing data, working with data, planning for data management, and useful resources for research data management. The document aims to help researchers effectively manage the data created throughout the research process.
An overview of the LSHTM Research Data Management Policy, outlining the motivations for its introduction, obligations that need to be met and the support available
Practical Strategies for Research Data ManagementDaniel Crane
This document summarizes a presentation about practical strategies for research data management. It discusses what research data management is, working with data including file naming, formats, documentation and metadata, personal and sensitive data, and data storage and security. The presentation covers planning for data management, including creating a data management plan, and data sharing and reuse. It provides an overview of useful resources and asks if attendees have any questions.
Presentación de Joy Davidson, Digital Curation Centre (UK) en FOSTER event: Data Management Plan and Social Impact of Research. Universitat Jaume I, 27 mayo 2016
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
This document provides biographical and contact information for Professor Aboul Ella Hassanien, including that he is the founder and chair of the Scientific Research Group in Egypt and formerly served as dean of the faculty of computers and information at Beni-Suef University. It announces an upcoming presentation by Professor Hassanien on sharing scientific data, ethics, and consent taking place on January 20, 2018 at Cairo University.
This seminar discuss the important of the scientific data and how to plan data management and data sharing for your research. Also, discuss the research ethics and privacy in data sharing and intellectual property rights.
Data strategies for collaborative research, how to publish and cite research , and data opportunities and limitations in using other people's research data, illustrated with real-life data reuse cases will be discussed. The ways to share your research data and discuss the advantages and disadvantages for each of these ways of sharing data. The Egyptian 2017 data protection act and its principles. Finally, discuss practicality real cases.
This document discusses data management plans (DMPs), which are brief plans that define how research data will be created, documented, stored, shared, and preserved. DMPs are often required as part of grant applications. The document provides an overview of why DMPs are important, how they benefit researchers and institutions, and key aspects to address in a DMP such as data organization, stakeholders, and making data FAIR (findable, accessible, interoperable, and reusable). Examples of DMPs from real projects are also presented.
The document summarizes a pilot project at the University of Edinburgh to support the development of a UK Research Data Discovery Service. PhD interns engaged with researchers from various schools to describe and deposit research datasets in the university's systems to be harvested by the discovery service. Observations found mixed results across schools, with humanities researchers less comfortable sharing data due to copyright and reluctance to share interpretations. Other schools had established data repositories causing less interest in the university's system. Building research data management practices will require tailored approaches and more training over time.
Policies from funders, publishers, and universities increasingly require researchers to share their data. Sharing data brings benefits like enabling replication and innovation by other researchers, safeguarding research integrity, and potentially increasing citations. Researchers should select what data to share, prepare it with good documentation and open file formats, and consider using repositories. The library provides support for data management plans, preparation, and sharing through services like Open Research Data Online.
Research data management involves organizing data throughout the research lifecycle to ensure results can be verified and built upon. This presentation covered key aspects of research data management including creating a data management plan, file naming conventions, documentation, storage and security, and data sharing. The presentation emphasized starting early with data management to work more efficiently and protect data, and highlighted resources available from the Open University to help with all stages of effective research data management.
Introduction to research data managementdri_ireland
An Introduction to Research Data Management: slides from a presentation given online on May 12 2022, by Beth Knazook, Project Manager, Research Data. Covers topics such as: what are research data; why share research data; why DMPs are important; and where should you share your data?
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Practical Strategies for Research Data Managementdancrane_open
The document provides an overview of practical strategies for research data management. It discusses what research data management is, including definitions of research data and the data lifecycle. It emphasizes the importance of planning for data management from the start of a research project through drafting a data management plan. The document outlines key elements to address in a data management plan, such as data collection, documentation, ethics and legal compliance, storage and backup, and data sharing. It also provides guidance on issues like organizing and naming research data files, using metadata to document data, and managing personal or sensitive data.
Stuart Macdonald steps through the process of creating a robust data management plan for researchers. Presented at the European Association for Health Information and Libraries (EAHIL) 2015 workshop, Edinburgh, 11 June 2015.
The document provides information on creating a data management plan (DMP) for grant applications. It discusses what a DMP is, why they are important, and what funders require in a DMP. A DMP outlines how research data will be collected, documented, stored, shared, and preserved. The document recommends addressing six key themes in a DMP: data types and standards; ethics and intellectual property; data access, sharing and reuse; short-term storage and management; long-term preservation; and resourcing. Developing a strong DMP helps researchers manage data effectively and makes data available and reusable by others.
dkNET Office Hours: NIH Data Management and Sharing Mandate 05/03/2024dkNET
Presenter: Jeffrey Grethe, PhD, Principal Investigator of NIDDK Information Network (dkNET), Center for Research in Biological Systems, University of California San Diego
For all proposals submitted on/after January 25 2023, NIH requires the sharing of data from all NIH funded studies. Do you have appropriate data management practices and sharing plans in place to meet these requirements? Have questions or need some help? Join the dkNET office hours to learn about NIH’s policy (NOT-OD-21-013) and resources that could help.
*Previous Office Hours Slides and Recording: https://dknet.org/rin/research-data-management
Upcoming Webinars Schedule: https://dknet.org/about/webinar
Research Data Management in GLAM: Managing Data for Cultural HeritageSarah Anna Stewart
Presentation given at the 'Open Science Infrastructures for Big Cultural Data' - Advanced International Masterclass in Plovdiv, Bulgaria. Dec. 13-15, 2018
20170530_Open Research Data in Horizon 2020OpenAIRE
This document discusses open research data in Horizon 2020 projects. It provides an overview of the OpenAIRE network, the European Commission's open access mandate, and requirements for open research data under Horizon 2020. Projects starting in 2017 are included in the open data policy by default and must make their data openly available. Reasons for opting out of open data requirements are also presented.
Research data management at TU EindhovenLeon Osinski
The document discusses research data management at TU Eindhoven. It outlines the long process of developing RDM practices since 2008. It describes the current organization and governance structure for RDM. Key external requirements for RDM from funders, regulations, and integrity standards are also summarized. The document concludes by outlining RDM support services available and the benefits of good RDM practices.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
Presentation given by Sarah Jones at a seminar run by LSHTM on 6th November 2012. http://www.lshtm.ac.uk/newsevents/events/2012/11/developing-data-management-expertise-in-research---half-day-event
I o dav data workshop prof wafula final 19.9.17Tom Nyongesa
The document summarizes an iODaV Data Workshop held at JKUAT in Kenya on open data and the JORD policy. It discusses why open data is important for reproducibility, innovation and scientific discovery. It outlines the FAIR principles for open data and metadata to make data findable, accessible, interoperable and reusable. It also discusses opportunities and challenges of open data for universities, including developing skills and infrastructure. Finally, it provides examples of open data initiatives at JKUAT including developing an open data policy, the iODaV program, contributions to national ICT policies, and the digital health applied research centre.
Horizon 2020 open access and open data mandatesMartin Donnelly
This document summarizes the key requirements for open access and open data under the Horizon 2020 framework. It outlines the mandate for open access to publications, requiring deposit in a repository and granting open access rights. It also describes the open data pilot, defining research data and the FAIR principles of findable, accessible, interoperable and reusable data. Projects must submit a data management plan addressing data collection, sharing and preservation. Compliance involves depositing data in a repository and applying an open license.
Securing, storing and enabling safe access to dataRobin Rice
Invited talk as part of Westminster Insight Research Data Management Forum, https://www.westminsterinsight.co.uk/event/3416/Research_Data_Management_Forum
Big Data Europe: SC6 Workshop 3: The European Research Data Landscape: Opport...BigData_Europe
Slides of the keynote at the 3rd Big Data Europe SC6 Workshop co-located at SEMANTiCS2018 in Amsterdam (NL) on: The European Research Data Landscape: Opportunities for CESSDA by Peter Doorn, Director DANS, Chair, Science Europe W.G. on Research Data. Chair, CESSDA ERIC General Assembly
Rachel Bruce UK research and data management where are we nowJisc
The document discusses the state of research data management in UK universities. It finds that while areas like data cataloguing and access/storage systems are progressing, governance of data access/reuse and digital preservation/planning are lagging. Barriers to progress include low researcher priority, funding availability, and lack of staff/infrastructure. Gaps include defining responsibilities, standards, costs, and tools. Coordination and sharing resources across institutions is needed to help universities advance research data management.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
1. Making your research data open
21st May 2018
Dan Crane, Research Support Librarian
library-research-support@open.ac.uk
2. 2
Why/what/how/when to share
Preparing data for sharing
Rights and data sharing
Ethics and data sharing
Re-using data
Useful resources / Questions
WHAT WE’LL COVER
01
02
03
04
05
06
5. 5
WHY?
Research data is defined as the evidence base on which academic
researchers build their analytic or other work. Such data may be in any
form, but may include “digital information created directly from research
activities such as experiments, analysis, surveys, measurements,
instrumentation and observations; data resulting from automated or
manual data reduction and analysis including the inputs and outputs of
simulations and models”
RCUK Common principles on data policy
WHAT DO WE MEAN BY ‘DATA’
Open University Research Data Management Policy
6. 6
WHY?
“Research data management concerns the
organisation of data, from its entry to the research
cycle through to the dissemination and archiving of
valuable results. It aims to ensure reliable
verification of results, and permits new and
innovative research built on existing information."
Digital Curation Centre (2011)
Making the Case for Research Data Management
http://www.dcc.ac.uk/sites/default/files/documents/publications/Making%20the%20case.pdf
WHAT IS RDM?
7. 7
WHY?
WHAT IS DATA SHARING?
• Supporting publication or end of project
• In a trusted repository
• With metadata
• As open as possible
• Available for 10 years
• Discoverable, accessible, citeable
• Data access statement in publications
8. 8
Rufus Pollock, Cambridge University and Open
Knowledge Foundation, 2008
“The coolest thing to do with
your data will be thought of
by someone else.”
WHY?
13. 13
WHY?
FUNDER POLICIES
Since 2017, all Horizon 2020 projects are part of the Open
Research Data Pilot by default
All publications after May 2015 should have a statement
describing how to access underlying data. EPSRC have
said they will check.
Researchers now required to prepare to share data and
other outputs of their work, such as original software and
research materials like antibodies, cell lines or
reagents.
15. 15
WHY?
PUBLISHER POLICIES
“An inherent principle of publication is that others should be able to
replicate and build upon the authors' published claims. A condition of
publication in a Nature journal is that authors are required to make
materials, data, code, and associated protocols promptly available
to readers without undue qualifications. Any restrictions on the
availability of materials or information must be disclosed to the editors at
the time of submission. Any restrictions must also be disclosed in
the submitted manuscript.”
http://www.nature.com/authors/policies/availability.html
16. 16
WHY?
PUBLISHER POLICIES
“PLOS journals require authors to make all data underlying the
findings described in their manuscript fully available without
restriction, with rare exception.
When submitting a manuscript online, authors must provide a Data
Availability Statement describing compliance with PLOS's policy. If the
article is accepted for publication, the data availability statement will be
published as part of the final article.
Refusal to share data and related metadata and methods in accordance
with this policy will be grounds for rejection…”
http://journals.plos.org/plosone/s/data-availability
17. 17
WHY?
OU POLICY
“In keeping with OU principles of openness, it is
expected that research data will be open and
accessible to other researchers, as soon as
appropriate and verifiable, subject to the
application of appropriate safeguards relating to the
sensitivity of the data and legal and commercial
requirements.”
OU Research Data Management Policy, November 2016
http://www.open.ac.uk/library-research-support/sites/www.open.ac.uk.library-research-
support/files/files/Open-University-Research-Data-Management-Policy.pdf
18. 18
A SHARED AIM
WHY?
Concordat on Open Research Data
https://www.ukri.org/files/legacy/documents/concordatonopenresearchdata-pdf/
“Good data management is
fundamental to all stages of the
research process and should be
established at the outset.”
“Open access to research data is an
enabler of high quality research, a
facilitator of innovation and
safeguards good research practice.”
22. 22
EXEMPTIONS
WHY NOT?
“As open as possible, as closed as necessary”
It is recognised that access may need to be restricted or managed in
order to:
• maintain confidentiality
• guard against unreasonable cost
• protect individuals’ privacy
• respect consent terms
• managing security or other risks.
23. 23
BARRIERS
WHY NOT?
• Look at the discussion cards
• Can these barriers to sharing be overcome?
• How?
• If not, why not?
24. 24
WHAT
• Raw data
• Derived data
• Data underpinning
publications
• Code
• Methods
What are research data in your context?
What would others need to understand your research?
25. 25
REPOSITORIES
HOW
Open Research Data Online
(ORDO)
Online data sharing services
• Figshare
• Zenodo
• CKAN DataHub
• Mendeley Data
Funders’ repository services
• UK Data Service ReShare
• NERC data centres
26. 26
REPOSITORIES – Open Research Data Online
HOW
• ORDO - our own research data repository
https://ou.figshare.com/
• It provides secure, long-term storage for data and makes it
shareable, discoverable and citable
• Meets funder requirements and ‘industry standard’
29. 29
METADATA/DOCUMENTATION
PREPARING DATA FOR SHARING
“...make sure that data are fully described, so
that consumers have sufficient information to
understand their strengths, weaknesses,
analytical limitations, and security
requirements as well as how to process the
data...”
G8 Open Data Charter (2013)
https://www.gov.uk/government/publications/open-data-charter/g8-
open-data-charter-and-technical-annex
30. 30
METADATA/DOCUMENTATION
PREPARING DATA FOR SHARING
What do others need to understand your data?
Embedded documentation
• code, field and label
descriptions
• descriptive headers or
summaries
• recording information in
the Document Properties
function of a file
(Microsoft)
Supporting documentation
• Working papers or
laboratory books
• Questionnaires or
interview guides
• Final project reports and
publications
• Catalogue metadata
• File naming convention
31. 31
METADATA/DOCUMENTATION
PREPARING DATA FOR SHARING
Imagine you have just downloaded the data
sample sheet from a repository...
• What contextual or explanatory information is
missing?
• Is there anything odd about the data that needs
clarifying?
• What additional documentation would
you like to see supplied?
32. 32
FILE FORMATS
PREPARING DATA FOR SHARING
• Unencrypted
• Uncompressed
• Non-proprietary/patent-encumbered
• Open, documented standard
• Standard representation (ASCII, Unicode)
Type Recommended Avoid for data sharing
Tabular data CSV, TSV, SPSS portable Excel
Text Plain text, HTML, RTF
PDF/A only if layout matters
Word
Media Container: MP4, Ogg
Codec: Theora, Dirac, FLAC
Quicktime
H264
Images TIFF, JPEG2000, PNG GIF, JPG
Structured data XML, RDF RDBMS
Further examples: http://www.data-archive.ac.uk/create-manage/format/formats-table
34. 34
INTELLECTUAL PROPERTY RIGHTS
RIGHTS AND DATA SHARING
IP will usually belong to the
institution (OU) but...
• Sometimes funders exert
claims over rights
• When working with commercial
partners there may be joint IP
rights – best handled with an
agreement/contract
35. 35
COPYRIGHT / DATABASE RIGHTS
RIGHTS AND DATA SHARING
Database rights apply
when there has been
substantial intellectual
investment in obtaining,
verifying or presenting
content in an original
manner
Copyright applies to:
• Original literary
dramatic, musical
and artistic works
• Sound recordings,
films, broadcasts
• The typographical
arrangement of
publications
• NOT facts
36. 36
LICENSING FOR RE-USE
RIGHTS AND DATA SHARING
How do you want your data to be re-used?
Other options should
be considered for
databases and
software.
38. 38
INFORMING PARTICIPANTS AND SEEKING CONSENT
ETHICS AND DATA SHARING
Information sheets and consent forms should cover:
• The purpose of the research and nature of participation
• How confidentiality will be maintained
• Options for varied consent conditions for participation,
publication and data sharing
• How research data will be stored and preserved in the
long-term
• How data may be used for future research or teaching
and any restrictions on that use
For more information see the UK Data Archive & OU HREC:
https://www.ukdataservice.ac.uk/manage-data/legal-ethical/consent-data-sharing
UK Data Service model consent form
https://www.ukdataservice.ac.uk/manage-data/legal-ethical/anonymisation
http://www.open.ac.uk/research/ethics/human-research/faqs
39. 39
INFORMING PARTICIPANTS AND SEEKING CONSENT
ETHICS AND DATA SHARING
NEW!
GDPR is the General Data Protection Regulation
• Replaces Data Protection Act 1998
• EU wide
• Comes into force 25th May 2018
• Reflects how society communicates and collects information
GDPR image: used under Creative Commons https://pixabay.com/en/legislation-gdpr-protection-privacy-3231548/
40. 40
INFORMING PARTICIPANTS AND SEEKING CONSENT
ETHICS AND DATA SHARING
What is personal data? - any information relating to an identifiable
person who can be directly or indirectly identified.
“This definition provides for a wide range of personal
identifiers to constitute personal data, including name,
identification number, location data or online identifier,
reflecting changes in technology and the way organisations
collect information about people.”
(ICO Key Definitions)
Strengthens the rights of data subjects, including:
• The right to be informed
• The right of access
• The right to erasure (to be forgotten)
• The right to data portability
41. 41
INFORMING PARTICIPANTS AND SEEKING CONSENT
ETHICS AND DATA SHARING
GDPR requires that consent for data collection and use must
be freely given, specific, informed and an unambiguous
indication of their participants’ agreement to the processing of
personal data relating to them.
• It must be in the form of a statement or by a clear affirmative
action (e.g. not a pre-ticked box)
• Consent needs documented so that it can be demonstrated
To be able to give consent, participants must be informed
about, and allowed to give or withhold consent for, each of the
ways that their data will be processed and used.
42. 42
ACTIVITY
ETHICS AND DATA SHARING
Look at the new info and consent
template and discuss:
• What are your initial impressions?
• How effective is it?
• Is there anything
missing/unnecessary?
• Compare it to consent forms you’ve
used: would you change anything on
your own having read it?
43. 43
INFORMING PARTICIPANTS AND SEEKING CONSENT
ETHICS AND DATA SHARING
In short:
• Inform participants about what you are doing and why you are
doing it: explain what information will be gathered, whether and
how any identifying information will be removed, and how the
data will managed and used during and after the project.
• Request consent for taking part and use of the data at a granular
level, allowing participants to consent, or not, to each use.
• Retain documentation of consent
• Store, manage and archive your data in a way that protects
personal data
• Write a Data Management Plan
51. 51
QUESTIONS & USEFUL RESOURCES
1. Sharing your data isn’t just about compliance
2. Good metadata enables re-use
3. Know your rights – and make conditions for
re-use clear
3 take home points...
52. 52
HOW WE CAN HELP
QUESTIONS & USEFUL RESOURCES
• Open Research Data Online (ORDO)
• Help with Data Management Plans and consent forms
• Advice on preparation of data for sharing
• Data catalogue on ORO
• Online guidance
• Enquiries
Email: library-research-support@open.ac.uk
53. 53
USEFUL RESOURCES
QUESTIONS & USEFUL RESOURCES
• The OU Library Research Support website: http://www.open.ac.uk/library-
research-support/research-data-management
• Open Research Data Online (ORDO): https://ou.figshare.com
• Digital Curation Centre: http://www.dcc.ac.uk/
• DMP Online: https://dmponline.dcc.ac.uk/
• UK Data Archive: http://www.data-archive.ac.uk/
• MANTRA: http://datalib.edina.ac.uk/mantra/
• Software Sustainability Institute
https://www.software.ac.uk/resources/guides/adopting-open-source-licence
• The Orb: http://open.ac.uk/blogs/the_orb
• OU HREC: http://www.open.ac.uk/research/ethics/human-research