This presentation discusses the importance of developing a data management plan (DMP) when conducting research. A DMP is a brief document written at the start of a research project that outlines how research data will be collected, documented, shared, and preserved. It addresses issues such as data formats, metadata, ethics, and long-term storage. Developing a DMP helps researchers manage their data effectively and address funder requirements for data sharing and archiving. The presentation provides examples and guidance on the key components of a DMP and resources for creating DMPs according to different funder templates.
Presentation on developing DMP services at the University of Edinburgh. It outlines progress on the DMP objectives in the Edinburgh RDM roadmap and covers the findings from evaluating DMPonline. The talk was given at a HEIDS meeting in Edinburgh on 22nd April 2013.
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
Presentation given by Sarah Jones at the DCC data management roadshow in London on 21-22 May 2012
http://www.dcc.ac.uk/events/data-management-roadshows/dcc-roadshow-london
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.
Presentation on developing DMP services at the University of Edinburgh. It outlines progress on the DMP objectives in the Edinburgh RDM roadmap and covers the findings from evaluating DMPonline. The talk was given at a HEIDS meeting in Edinburgh on 22nd April 2013.
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
Presentation given by Sarah Jones at the DCC data management roadshow in London on 21-22 May 2012
http://www.dcc.ac.uk/events/data-management-roadshows/dcc-roadshow-london
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.
presented by Stuart Macdonald at the College of Science and Engineering - "What's new for you in the Library“, Murray Library, Kings Buildings, University of Edinburgh. 28 May 2014
Covers research data, research data management, funder policies and the University's RDM policy, RDM services and support, awareness raising, training, progress so far.
A talk outlining the virtues and processes of Research Data Management for PhD students in the geosciences. Given by Stuart Macdonald at the Introduction to RDM Workshop, School of Geosciences, University of Edinburgh, on 2 November 2015
Poster RDAP13: Data information literacy multiple paths to a single goalASIS&T
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Data Information Literacy: Multiple Paths to a Single Goal
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
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.
Presentation from a University of York Library workshop on research data management. The workshop provides an introduction to research data management, covering best practice for the successful organisation, storage, documentation, archiving, and sharing of research data.
PSB2014 A Vision for Biomedical ResearchPhilip Bourne
Some preliminary thoughts about my role as Associate Director for Data Science at the NIH so as to have a discussion with attendees at the Pacific Symposium on Biocomputing on Jan 4, 2014, The Big Island of Hawaii.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2015-02-18 and 2015-05-13. 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 2015-11-04. 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.
Data Curation Models JHU Barbara Pralle RDAP12ASIS&T
Data Curation Services Models: John Hopkins University
Barbara Pralle
Curation Service Models panel
Presentation at Research Data Access & Preservation Summit
22 March 2012
presented by Stuart Macdonald at the College of Science and Engineering - "What's new for you in the Library“, Murray Library, Kings Buildings, University of Edinburgh. 28 May 2014
Covers research data, research data management, funder policies and the University's RDM policy, RDM services and support, awareness raising, training, progress so far.
A talk outlining the virtues and processes of Research Data Management for PhD students in the geosciences. Given by Stuart Macdonald at the Introduction to RDM Workshop, School of Geosciences, University of Edinburgh, on 2 November 2015
Poster RDAP13: Data information literacy multiple paths to a single goalASIS&T
Jake Carlson, Jon Jeffryes, Brian Westra and Sarah Wright
Data Information Literacy: Multiple Paths to a Single Goal
Research Data Access & Preservation Summit 2013
Baltimore, MD April 4, 2013 #rdap13
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.
Presentation from a University of York Library workshop on research data management. The workshop provides an introduction to research data management, covering best practice for the successful organisation, storage, documentation, archiving, and sharing of research data.
PSB2014 A Vision for Biomedical ResearchPhilip Bourne
Some preliminary thoughts about my role as Associate Director for Data Science at the NIH so as to have a discussion with attendees at the Pacific Symposium on Biocomputing on Jan 4, 2014, The Big Island of Hawaii.
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2015-02-18 and 2015-05-13. 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 2015-11-04. 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.
Data Curation Models JHU Barbara Pralle RDAP12ASIS&T
Data Curation Services Models: John Hopkins University
Barbara Pralle
Curation Service Models panel
Presentation at Research Data Access & Preservation Summit
22 March 2012
LinkedUp are sponsors of the 13th International Semantic Web Conference (ISWC 2014), the premier international forum for the Semantic Web / Linked Data Community. 19th – 23rd October 2014 at Riva del Garda, Trentino, Italy.
These slides are for the exhibition stand.
B3: The Economical way to Amplify Your Event:IntroductioMarieke Guy
Parallel session B3: The Economical way to Amplify Your Event facilitated by Marieke Guy and Brian Kelly, UKOLN. Workshop given at Institutional Web Management Workshop 2011, University of Reading from Tuesday 26th to Wednesday 27th July 2011.
B3: The Economical way to Amplify Your Event: How and When?Marieke Guy
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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.
This slide deck provides an overview and resources to respond to the OSTP memo with the subject: Increasing Access to the Results of Federally Funded Scientific Research issued by John P. Holdren in February 2013. It provides resources and information agencies, foundations, and research projects can use to assemble achieve public access to scientific data in digital formats.
Meeting Federal Research Requirements for Data Management Plans, Public Acces...ICPSR
These slides cover evolving federal research requirements for sharing scientific data. Provided are updates on federal agency responses to the 2013 OSTP memo, guidance on data management plans, resources for data management and curation training for staff/researchers, and tips for evaluating public data-sharing services. ICPSR's public data-sharing service, openICPSR, is also presented. Recording of this presentation is here: https://www.youtube.com/watch?v=2_erMkASSv4&feature=youtu.be
Presentation given by Sarah Jones and Joy Davidson to a group of South African librarians at a webinar organised by LIASA HELIG. http://www.liasa.org.za/node/977
Research data management and the Digital Curation CentreMartin Donnelly
Slides from a couple of webinars given while visiting ANDS in Canberra, Australia. (N.B. We also gave short talks at Statistics New Zealand and Monash University - the slides are more or less the same.)
Ways to ensure “buy in” from the academics in the transition to digitised ass...Marieke Guy
Ways to ensure “buy in” from the academics in the transition to digitised assessments
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Uniwise partner meeting
2nd November 2023
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Wednesday 1st November, 1-2pm
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Wednesday 13 September 2023
MCQs_ The joys of making your mind up.pdfMarieke Guy
Explore the benefits and challenges of using MCQs in both formative and summative assessment, and get practical guidance on designing good MCQs in AssessmentUCL.
4 March, 10.30am-11.30am. Online event.
Multiple choice questions have often had a bad rap in education, sometimes seen as assessing only lower level skills such as factual recall. However, with good question design this assessment approach can allow for testing of more complex cognitive processes. Add in the increasing sophistication of options offered by digital assessment platforms, which allow automatic grading and statistical analysis, and you can begin to significantly streamline your marking processes.
This workshop will explore the benefits and challenges of using MCQs in both formative and summative assessment and provide practical guidance on:
Constructing good MCQs
The range of MCQs available on digital platforms, focussing on AssessmentUCL.
There will be time for discussion and questions.
After attending this session, you will be able to:
Create worthwhile MCQs that test a range of learning outcomes.
Understand the range of MCQs available on digital platforms and how they can be used, focussing on AssessmentUCL.
Who should attend this session
All those engaged in teaching, assessment and the support of learning (academics, administrators, professional service colleagues).
Rubrics_ removing the glitch in the assessment matrix (1).pdfMarieke Guy
Rubrics bring together criteria, grades and feedback into a single scoring matrix. This session will explore how to design a good rubric and the benefits and potential challenges of using rubrics in assessments.
Would you like to increase reliability and consistency in marking, ensure alignment with intended learning outcomes and provide an efficient feedback mechanism for students? If so, this session on rubrics is for you.
Rubrics are a useful way of bringing together criteria, grades and feedback into a single scoring matrix to help streamline marking, provide transparency and support learners to understand how their performance will be judged.
This workshop will focus on the benefits and potential challenges of using rubrics in assessment within your subject area and provide practical guidance on:
How to design a good rubric
Creating and marking with rubrics in Assessment UCL
There will be opportunities for discussion and questions.
After attending this session, you will be able to:
Understand the benefits and potential challenges of using rubrics in assessment
Design an appropriate rubric for your assessments
Understand how to create and mark with rubrics in Assessment UCL
Who should attend this session
All those engaged in teaching, assessment and the support of learning (academics, administrators, professional service colleagues).
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
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Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
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2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
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The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
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1. Data Management Planning
University of Northampton, 27th February 2013
Marieke Guy
DCC, University of Bath
m.guy@ukoln.ac.uk
Funded by:
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 UK: Scotland
License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/scotland/ ; or,
(b) send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.
2. What is a data management plan?
A brief plan written at the start of your project to define:
• how your data will be created?
• how it will be documented?
• who will access it?
• where it will be stored?
• who will back it up?
• whether (and how) it will be shared & preserved?
DMPs are often submitted as part of grant applications,
but are useful whenever you are creating data.
3. Why develop a DMP?
• to meet funder requirements
• help you manage your data
• to make informed decisions so you don’t have to
figure out things as you go
• to anticipate and avoid problems e.g. data loss
• to make your life easier!
4. What should a DMP cover?
1. Provide a description of the data
1. Explain how the data will be collected & documented
2. Outline the plans for data sharing
3. Justify any restrictions on sharing (ethics, IP)
4. State the long-term preservation plan
5. Provide a description of the data
Why is this important?
A good description of the data to be collected will help
reviewers
understand the characteristics of the data, their relationship to
existing data, and any disclosure risks that may apply.
•e.g. The proposed research will include data from
approximately 500 subjects being screened for three bacterial
sexually transmitted diseases (STDs) at an inner city STD clinic.
The final dataset will include self-reported demographic and
behavioural data from interviews with the subjects and
laboratory data from urine specimens provided.
6. Data collection & documentation
Why is this important?
Creating data in formats preferred for archiving helps to ensure
that they will be usable in the future. Good descriptive metadata
are essential for effective data use.
•e.g. Quantitative survey data files generated will be processed
as SPSS system files with DDI XML documentation. The
codebook will contain information on study design, sampling
methodology, fieldwork, variable-level detail, and all
information necessary for a secondary analyst to use the data
accurately and effectively.
7. Outline the plans for data sharing
Why is this important?
Sharing data helps to advance science and to maximize the
research investment. Your funder probably expects you to share
data wherever possible.
•e.g. We will make the data and associated documentation
available to users under a data-sharing agreement that provides
for: (1) a commitment to using the data only for research
purposes and not to identify any individual participant; (2) a
commitment to securing the data using appropriate computer
technology; and (3) a commitment to destroying or returning
the data after analyses are completed.
8. Justify any restrictions on sharing
Why is this important?
As funders expect data to be shared, any restrictions need to be
valid. Protection of human subjects is a fundamental tenet of
research and an important ethical obligation for everyone.
•e.g. Because the STDs being studied are reportable diseases,
we will be collecting identifying information. Even though the
final dataset will be stripped of identifiers prior to release for
sharing, we believe that there remains the possibility of
deductive disclosure of subjects with unusual characteristics.
Thus, we will make the data and associated documentation
available to users only under a data-sharing agreement.
9. State the long-term preservation plan
Why is this important?
Digital data need to be actively managed over time to ensure that
they will always be available and usable. Depositing data
resources
with a trusted digital archive can ensure that they are curated and
handled according to good practices in digital preservation.
•e.g. The investigators will work with staff at the UKDA to
determine what to archive and how long the deposited data
should be retained. Future long-term use of the data will be
ensured by placing a copy of the data into the repository.
10. A useful framework to get you started
•Think about why
the questions are
being asked – why
is it useful to
consider that?
•Look at examples to
help you understand
what to write
•www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/framework.html
11. Help from the DCC
•https://dmponline.dcc.ac.uk
•www.dcc.ac.uk/resources/how-guides/develop-data-plan
12. ...a web-based tool to help researchers write Data
Management Plans according to different funder
requirements
We’re currently enhancing it with practical examples,
boilerplate text and tailored support
https://dmponline.dcc.ac.uk
13. How DMP Online works
Create a plan
based on
relevant
funder /
institutional
templates...
...and then
answer the
questions
using the
guidance
provided
14. Tips for writing DMPs
• Seek advice - consult and collaborate
• Consider good practice for your field
• Base plans on available skills & support
• Make sure implementation is feasible
15. Advice on what funders look for
Audio clip from presentation by Peter Dukes of the MRC
16. Sources of guidance
• ICPSR framework for a data management plan
www.icpsr.umich.edu/icpsrweb/content/datamanagement/dmp/
framework.html
• How to develop a data management and sharing plan
www.dcc.ac.uk/resources/how-guides/develop-data-plan
• UKDA’s manage and share your data guide
• http://data-archive.ac.uk/media/2894/managingsharing.pdf
17. •To Summarise: Data Management
and Sharing Plans
Funders typically want a short statement covering:
• What data will be created? (format, types, volume)
• How will the data be collected and documented?
• What are the plans for data sharing and access?
• Justify any restrictions on sharing (ethics, IP)
• What is the strategy for long-term preservation?
18. Thanks - any questions?
For DCC guidance, tools and case studies see:
www.dcc.ac.uk/resources
Follow us on twitter @digitalcuration and #ukdcc
Thanks to Research360 for contribution to slides
Editor's Notes
I recommend this ICPSR resource It explains the importance of different questions as a pointer to how to answer Examples are given. This is the most frequent request we get at DCC - examples help researchers think of what to write for their context
The DCC has produced a How to guide on writing DMPs and developed a tool to help
There are various templates in DMP Online based on different funder requirements and institutional customisations