The document discusses challenges trainers may face when training researchers on data management planning and potential strategies to address these challenges. It identifies six common challenges: 1) researchers not understanding the need for data management planning, 2) researchers being unfamiliar with the concept of research data, 3) researchers not knowing how to describe their data, 4) researchers not thinking ethics and legal compliance applies to their work, 5) the complexity of data privacy and GDPR topics, and 6) researchers not understanding documentation and metadata. The document provides examples and explanations to help trainers overcome these challenges and motivate researchers on the importance of data management planning and its components.
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Sebastian Porceddu, IT Center, Univeristy of Helsinki
The format for the data management plans for PhD students at Wagenigen UR explained. This format was developed by the library in cooperation with the Wageningen Graduate Schools.
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Iina Hepolehto, Helsinki University Library
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Mari Elisa Kuusniemi, Helsinki University Library
A template for a basic data management plan. Handout to accompany the presentations Introduction to Research Data Management and Preparing Your Research Data for the Future.
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Sebastian Porceddu, IT Center, Univeristy of Helsinki
The format for the data management plans for PhD students at Wagenigen UR explained. This format was developed by the library in cooperation with the Wageningen Graduate Schools.
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Iina Hepolehto, Helsinki University Library
The presentation in a DMP workshop organised by University of Helsinki Data Support 18.5.2021.
Presented by Mari Elisa Kuusniemi, Helsinki University Library
A template for a basic data management plan. Handout to accompany the presentations Introduction to Research Data Management and Preparing Your Research Data for the Future.
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
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.
Have you implemented a Data Management Plan (DMP) tool at your institution or are you currently involved in discussions to implement one? Would you like to connect with others who are involved in implementing DMPs? Then this webinar is for you!
This webinar will bring together those involved in planning or implementing DMP to exchange information and explore ideas around DMP.
>>>>>>>>>>>>>>>>>>>>>>>>
Kathryn Unsworth and Natasha Simons lead the conversation by starting off with a few thoughts on:
-- a wrap up of the DMP Birds of a Feather session at eResearch Australasia (Oct 2016)
-- DMPs v2
-- discussion around DMPs as Thing 15 in the 23 (Research Data) Things program
-- and some thought provoking ideas.
This section WILL be recorded.
Then open up for discussion - NOT recorded.
We will also be looking to gauge interest in the formation of a DMP Community of Practice in Australia.
>>>>>>>>>>>>>>>>>>>>>>>>
Background:
Significant advocacy and technical enterprise have been directed towards the development and use of DMP tools. However, the agents and motivations driving DMP use differ, presenting use cases to explore and questions to be answered:
-- Why implement a DMP tool?
-- Does DMP use align with an agent’s motivations and more importantly with intended outcomes?
-- What are the expected outcomes?
-- Is there a one-size-fits-all DMP?
-- Is best practice for researchers an aim or a hoped-for by product?
>>>>>>>>>>>>>>>>>>>>>>>>
More info about DMPs: http://www.ands.org.au/working-with-data/data-management/data-management-plans
Australian DMP examples: https://projects.ands.org.au/policy.php
>>>>>>>>>>>>>>>>>>>>>>>>
Contact:
Kathryn.Unsworth@ands.org.au
Natasha.Simons@ands.org.au
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-11-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This slideshow was used in a data management planning course taught at IT Services, University of Oxford, on 2016-11-09. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2014-10-27. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2017-02-22. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2016-02-08. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one. (The presentation has been very slightly edited: references to resources provided to course participants have been replaced with web links.)
Lesson 2 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2017-02-15. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 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
DataONE Education Module 10: Legal and Policy IssuesDataONE
Lesson 10 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
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.
Have you implemented a Data Management Plan (DMP) tool at your institution or are you currently involved in discussions to implement one? Would you like to connect with others who are involved in implementing DMPs? Then this webinar is for you!
This webinar will bring together those involved in planning or implementing DMP to exchange information and explore ideas around DMP.
>>>>>>>>>>>>>>>>>>>>>>>>
Kathryn Unsworth and Natasha Simons lead the conversation by starting off with a few thoughts on:
-- a wrap up of the DMP Birds of a Feather session at eResearch Australasia (Oct 2016)
-- DMPs v2
-- discussion around DMPs as Thing 15 in the 23 (Research Data) Things program
-- and some thought provoking ideas.
This section WILL be recorded.
Then open up for discussion - NOT recorded.
We will also be looking to gauge interest in the formation of a DMP Community of Practice in Australia.
>>>>>>>>>>>>>>>>>>>>>>>>
Background:
Significant advocacy and technical enterprise have been directed towards the development and use of DMP tools. However, the agents and motivations driving DMP use differ, presenting use cases to explore and questions to be answered:
-- Why implement a DMP tool?
-- Does DMP use align with an agent’s motivations and more importantly with intended outcomes?
-- What are the expected outcomes?
-- Is there a one-size-fits-all DMP?
-- Is best practice for researchers an aim or a hoped-for by product?
>>>>>>>>>>>>>>>>>>>>>>>>
More info about DMPs: http://www.ands.org.au/working-with-data/data-management/data-management-plans
Australian DMP examples: https://projects.ands.org.au/policy.php
>>>>>>>>>>>>>>>>>>>>>>>>
Contact:
Kathryn.Unsworth@ands.org.au
Natasha.Simons@ands.org.au
S. Venkataraman (DCC) talks about the basics of Research Data Management and how to apply this when creating or reviewing a Data Management Plan (DMP). He discusses data formats and metadata standards, persistent identifiers, licensing, controlled vocabularies and data repositories.
link to : dcc.ac.uk/resources
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-11-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This slideshow was used in a data management planning course taught at IT Services, University of Oxford, on 2016-11-09. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2014-10-27. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2017-02-22. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2016-02-08. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one. (The presentation has been very slightly edited: references to resources provided to course participants have been replaced with web links.)
Lesson 2 in a set of 10 created by DataONE on Best Practices fo Data Management. The full module can be downloaded from the DataONE.org website at: http://www.dataone.org/educaiton-modules. Released under a CC0 license, attribution and citation requested.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2017-02-15. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 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
Open data in ubi systems research data management plan (part 4)Heli Väätäjä
This slideset motivates to creating a data management plan and gives initial advice. Slides are from the seminar on Open Data in Ubiquitous Systems Research aimed for doctoral students in HCI and CS.
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
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATOpenAIRE
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
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
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.
Webinar: Data management and the Open Research Data Pilot in Horizon 2020OpenAccessBelgium
This webinar provides information about strategies for successful Research Data Management, 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.
At the end of the session participants will be able to:
- Understand the basic principles and importance of RDM
- Set clear goals regarding data curation, preservation and sharing
- Comply with the requirements of the Research Data Pilot
- Draft a Data Management Plan
- Identify RDM resources and tools
Webinar: Data management and the Open Research Data Pilot in Horizon 2020 OpenAIRE
This webinar provides information about strategies for successful Research Data Management, 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.
At the end of the session participants will be able to:
- Understand the basic principles and importance of RDM
- Set clear goals regarding data curation, preservation and sharing
- Comply with the requirements of the Research Data Pilot
- Draft a Data Management Plan
- Identify RDM resources and tools
Project MILDRED: Charting Ground for Research Data Management Services at Uni...Mari Elisa Kuusniemi
Introduction: This paper describes a topical case study conducted at University of Helsinki. Current states of research data management (RDM) practices within the academic community have been under close scrutiny during summer 2016 in Project MILDRED, Development Project of Research Data Infrastructure at University of Helsinki (UH).
Anna Salmi & Mari Elisa Kuusniemi (0000-0002-7675-287X), Helsingin yliopiston kirjasto, 22.8.2016.
Tutkimusdatakysely Helsingin yliopiston tutkijoille 2016. Tutkimusdatainfrastruktuurin kehittämishanke MILDRED,
projekti 3: Julkaisu- ja metadatapalvelut
Helsingin yliopisto
Following the starting phase data inventory, a MILDRED survey was sent in summer 2016 to all UH researchers in order to chart the current data repository services use situation. The focus was in data created by researchers; data acquisition practices were left out at this point. A delightful amount of 260 answers were gathered. What’s more, all three major disciplinary families, life sciences, humanities and social sciences, and natural sciences, were well represented. 62 % of the participants represented life sciences, 21 % humanities and social sciences and 17 % natural sciences.
Presentation 27-28 November 2014 on 7th UNICA Scholarly Communication Seminar: Visibility, Visibility, Visibility.
The associated abstract: http://www.unica-network.eu/sites/default/files/FINAL%20bios%20and%20abstracts%2002122014.pdf
Presentation 11.-13.6.2014 the 14th EAHIL Conference: Divided we fall, united we inform.
The associated paper: http://www.iss.it/binary/eahi/cont/76_Mari_Elisa_Kuusniemi_Full_text.pdf
Training staff for RDM support- Case Helsinki University Library Mari Elisa Kuusniemi
Presentation 2 Jylu 2014 on "Libraries and Research Data Management – What Works?" at LIBER 43rd Annual Conference, Scholarly Communication and Research Infrastructures Steering Committee Workshop.
Enhancing library staff skills in research data management - Development of r...Mari Elisa Kuusniemi
Enhancing library staff skills in research data management. Development of research data services requires staff training.
Presented: EAHIL 2013 workshop
http://eahil2013.kib.ki.se/?q=node/61#overlay-context=node/64%3Fq%3Dnode/64
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.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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.
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.
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.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
2. 310/5/20
Tuuli
Promotes data management planning
as an important part of good research
practice
Provides
• Tuuli Office: National coordination
for DMP requirements and
guidance
• DMPTuuli: Data management
planning tool
Funded by Ministry of Education and
Culture, Finland
5. 8810/5/20
Main requirements for a trainer
• You understand importance of research data management.
• You like to find ways to motivate researchers.
• You can search practical solutions with researchers (not
necessarily for them).
7. 121210/5/20
During the training
• We go through main challenges when training data
management planning
• We try to find examples how to overcome these challenges
8. 1410/5/20
Data
Management
Plan
(DMP) is a document that
outlines how data are to be
or is handled both during a
research project,
and after the project is
completed.
10. 181810/5/20
Why manage your research data and write
a data management plan (DMP)?
• It is good research practice!
• It helps you save time and money.
• You will reduce the risk of losing your data.
• You will be able to anticipate complex ownership and user
rights issues in advance.
• It helps you support open access to create productive future
collaborations.
• You will meet your funder’s requirements.
• Your DMP reflects your managerial skills as a project leader.
11. 202010/5/20
Topics of a Data Management Plan (DMP)
• General description of the data
• Ethical and legal compliance
• Documentation and metadata
• Storage and backup during the research project
• Opening, publishing and archiving the data after the
research project
• Data management responsibilities and resources
Reference: Tuuli-project. (2020, January 24). General Finnish DMP guidance (Version 2020).
Zenodo. http://doi.org/10.5281/zenodo.3630309
13. 242410/5/20
General description of the data
• What kinds of data is your research based on?
• What data will be collected, produced or reused?
• What file formats will the data be in?
• Give a rough estimate of the size of the data
produced/collected.
• How will the consistency and quality of data be
controlled?
14. 2610/5/20
Challenge 2
Your course participants are not
used to describe the data they
use, collect or produce
They are not familiar with the
concept “research data”
Tekijä
15. 282810/5/20
What is research data?
“…any information that has been collected,
observed, generated or created to validate original
research findings.”
"...materials generated or collected during the course
of conducting research..."
“Although usually digital, research data also includes
non-digital formats such as, photos, diaries and
(laboratory) notebooks.”
16. 303010/5/20
In the DMP data is quite often understood
as a broad term including
• data collected by various methods (such as
surveys, interviews, measurements, imaging
techniques etc.),
• data produced during the research (such as
analysis results),
• research sources (such as archive material), and
• source code and software.
17. 3210/5/20
Challenge 3
Your course participants are not
used to describe the data they
use, collect or produce
They don’t know how to phrase
description of the data or how
write it down
Tekijä
20. 373710/5/20
Ethical and legal compliance
• What legal issues are related to your data
management? (For example, GDPR and other
legislation affecting data processing.)
• How will you manage the rights of the data you use,
produce and share?
21. 3910/5/20
Challenge 4
Your course participants do not
think ethics and legal compliance
concerns them because they do
not use sensitive data
They don’t see the need of
agreements about data rights
22. 414110/5/20
Legal issues can be…
• You collect information about persons => GDPR
• Your collect information about animals => GDPR
• You use material like literary, artistic, dramatic or
musical work, sound recording, film or broadcast =>
copyright law
• Your data will be part of commercial invention =>
copyright law, patent law
• Etc.
23. 424210/5/20
Agreement needs to done…
• When you use data collected/created by others
• You collect/produce data, which will be used by others
• You collect/produce data together with others
• You share data to other projects/organisations/…
• You preserve your data to a data archive or repository
• With funder and organisation (funders often require
transfer of right to organisation)
• Etc.
24. Worst-case scenarios
• You used material under copyright or produced in other project
without asking permission => your research results can’t be
published.
• You did not agree about using data collected and how to
publish based on data => your supervisor published paper
based on data you collected and you name is not in the
publication
• You did not agree about using data collected => you colleague
took all data with her, when she left to Canada.
• No-one signed a confidentiality agreement => one person from
the team told about bad data management to the press and
your reputation as researher is ruined.
25. 4410/5/20
Challenge 5
Data privacy, protection & GDPR
are huge topics! You can’t cover
all on a data management
planning training.
Ask help from a data protection
officer of your institution.
27. Documentation and metadata
• How will you document your data in order to make the data
findable, accessible, interoperable and re-usable for you and
others?
• What kind of metadata standards, README files or other
documentation will you use to help others to understand and
use your data?
28. 4710/5/20
Challenge 6
Your course participants do not
understand the concepts of data
documentation or metadata
Therefore they struggle to see the
importance of metadata and value
of data documentation for
themselves and others
29. 484810/5/20
Data documentation is an important skill
• Data documentation is part of good research
methodology
• Data documentation starts from the very beginning
of the projects and ends after the project.
• There are tools and techniques available
• discipline specific
• data type specific
• Good documentation procedures produce rich
metadata with minimum workload.
32. FAIR is the ultimate goal of data documentation
FAIR is a set of guiding principles to make data
Findable
Accessible
Interoperable
Re-usable
Force11: https://www.force11.org/group/fairgroup/fairprinciples
Machine readable and
understandable
34. Challenge 1
Your course participants do not understand the
need of data management planning
Challenge 2
Your course participants are not familiar with
the concept “research data”
Challenge 3
Your course participants don’t know how to
phrase description of the data or how to write it
down
Challenge 5
Data privacy, protection & GDPR are huge
topics! You can’t cover all on a data
management planning training.
Challenge 4
Your course participants do not think ethics and
legal compliance concerns them.
They can’t see the need of agreements (about
data rights, etc.)
Challenge 6
Your course participants do not see the
importance of data documentation & metadata
for themselves and others
37. 595910/5/20
Task: How can you as a trainer be
prepared for this challenge?
• One challenge/group.
• Your group number tells the challenge number you work with
(you see the number when you join the group)
• Write the answer to the google doc:
http://bit.ly/DMPtrainercallenges
• Each group will present the findings to all, after the group
work
Tekijä