The document summarizes the research data support services at the University of Edinburgh. It describes the university's background and information services department. It then outlines the maturity model that guides the research data management (RDM) services, the governance structure overseeing the RDM service, and the funding model that supports it. The document also summarizes the university's RDM policy and the various tools and support provided across the research data lifecycle, from creating data management plans and storing data to publishing and preserving data in the long term.
The role of the ‘traditional librarian’ is evolving with advent of Google and other online utilities as well as the rapid pace of change in relation to information management, delivery, consumption, curation, and of course the data deluge!
Research Data Management (RDM) is a hot topic which requires a range of information handling skills (organisation, metadata, research support, service delivery, resource discovery).
Presented by Robin Rice at the "IRs dealing with data" workshop at the Open Repositories 2013 Conference in Charlottetown, Prince Edward Island, Canada, on 8 July 2013.
Presentation given by Chris Higgens at the Annual Infrastructure for Spatial Information in European (INSPIRE) Conference Krakow, Poland. 22 June 2010.
The role of the ‘traditional librarian’ is evolving with advent of Google and other online utilities as well as the rapid pace of change in relation to information management, delivery, consumption, curation, and of course the data deluge!
Research Data Management (RDM) is a hot topic which requires a range of information handling skills (organisation, metadata, research support, service delivery, resource discovery).
Presented by Robin Rice at the "IRs dealing with data" workshop at the Open Repositories 2013 Conference in Charlottetown, Prince Edward Island, Canada, on 8 July 2013.
Presentation given by Chris Higgens at the Annual Infrastructure for Spatial Information in European (INSPIRE) Conference Krakow, Poland. 22 June 2010.
‘Good, better, best’? Examining the range and rationales of institutional dat...Robin Rice
Introduction to panel presentations from Universities of Edinburgh, Southampton, Yale, Cornell at IPRES 2015 conference, Chapel Hill, North Carolina, 3 Nov 2015
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Now we are six: Integrating Edinburgh DataShare into local and internet in...Robin Rice
#iassist40 presentation, Toronto, 6/6/2014.
Abstract:
Edinburgh DataShare, an institutional data repository, is six years old. It was built as a demonstrator in DSpace by EDINA and Data Library and has been given new life by the University of Edinburgh’s Research Data Management initiative. Following testing by pilot users in various departments last year, DataShare is confirmed as a key RDM service. Since 2008 much external infrastructure has grown around data sharing, and software developers, publishers and librarians are creating new innovations around the sharing and re-use of data daily. How can DataShare be shaped to fit in to this ever-more-sophisticated environment? A number of ongoing developments are helping us integrate the repository in the global context. DataShare is being indexed in Thomson-Reuter’s Data Citation Index. We aspire to attain the Data Seal of Approval for DataShare, a badge that confers trustworthiness through peer review. It is listed in re3data.org and databib registries of data repositories. We offer via extension, peer review of datasets to our depositors by listing journals that publish ‘data papers’ such as F1000 Research. Locally, as Information Services builds new data services such as the Data Store, [private data] Vault and the [metadata-only] Register, we can focus DataShare on its named purpose.
Presentation made at the 'Towards linked science - Open Data and DataCite Esrtonia seminar as part of the Estonian Open Access Week at University of Tartu
Slides presented at the Spanish Agency of Science and Technology (FECYT) and the network of Spanish repositories (RECOLECTA) Research Data Management Webinar Series - see url:
http://www.recolecta.net/buscador/webminars.jsp
‘Good, better, best’? Examining the range and rationales of institutional dat...Robin Rice
Introduction to panel presentations from Universities of Edinburgh, Southampton, Yale, Cornell at IPRES 2015 conference, Chapel Hill, North Carolina, 3 Nov 2015
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
Supporting Research Data Management in UK Universities: the Jisc Managing Res...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ExLibris event, 'Excellence in Academic Knowledge Management', Utrecht, 29 October 2013.
Now we are six: Integrating Edinburgh DataShare into local and internet in...Robin Rice
#iassist40 presentation, Toronto, 6/6/2014.
Abstract:
Edinburgh DataShare, an institutional data repository, is six years old. It was built as a demonstrator in DSpace by EDINA and Data Library and has been given new life by the University of Edinburgh’s Research Data Management initiative. Following testing by pilot users in various departments last year, DataShare is confirmed as a key RDM service. Since 2008 much external infrastructure has grown around data sharing, and software developers, publishers and librarians are creating new innovations around the sharing and re-use of data daily. How can DataShare be shaped to fit in to this ever-more-sophisticated environment? A number of ongoing developments are helping us integrate the repository in the global context. DataShare is being indexed in Thomson-Reuter’s Data Citation Index. We aspire to attain the Data Seal of Approval for DataShare, a badge that confers trustworthiness through peer review. It is listed in re3data.org and databib registries of data repositories. We offer via extension, peer review of datasets to our depositors by listing journals that publish ‘data papers’ such as F1000 Research. Locally, as Information Services builds new data services such as the Data Store, [private data] Vault and the [metadata-only] Register, we can focus DataShare on its named purpose.
Presentation made at the 'Towards linked science - Open Data and DataCite Esrtonia seminar as part of the Estonian Open Access Week at University of Tartu
Slides presented at the Spanish Agency of Science and Technology (FECYT) and the network of Spanish repositories (RECOLECTA) Research Data Management Webinar Series - see url:
http://www.recolecta.net/buscador/webminars.jsp
Presented by Stuart Macdonald at the IT Professionals Forum (20/5/14) and the PPLS (School of Philosophy, Psychology and Language Sciences) RDM Workshop (6/5/14).
Making research data more resourceful - Jisc digital festival 2015Jisc
This discussion examined how best to implement policy and deliver services to meet the needs of researchers, their funders, and the university. institutional research data management policies, infrastructure and support services and will be showcased alongside the DMPOnline tool that helps researchers produce effective data management plans.
PIDs, Data and Software: How Libraries Can Support Researchers in an Evolving...Sarah Anna Stewart
Presentation given at the M25 Consortium of Academic Libraries, CPD25 Event on 'The Role of the Library in Supporting Research'. Provides an introduction to data, software and PIDs and a brief look at how libraries can enable researchers to gain impact and credit for their research data and software.
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
RDM Roadmap to the Future, or: Lords and Ladies of the DataRobin Rice
Story of the new 2017-2020 University of Edinburgh RDM Roadmap, with a Tolkienesque theme for IASSIST-CARTO 2018 in Montreal: "Once upon a data point: sustaining our data storytellers".
Providing research data services in changing timesRobin Rice
Lightning talk given at UKSG 2018 conference in Glasgow. (See notes field for most of content.)
Conference site: https://www.uksg.org/event/conference18
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
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
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!
How to Create Map Views in the Odoo 17 ERPCeline George
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.
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.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Research Data Support at the University of Edinburgh
1. Research Data Support at the
University of Edinburgh
Robin Rice
Data Librarian and Head, Research Data Support
Information Services
UNICA: 9th Scholarly Communication Seminar in Vilnius
12 October 2019
2. About UoE and Information Services
Maturity model, RDM services
Governance
Funding model
Research Data Mgm’t Policy
Data service components
2
Overview
5. A maturity model for RDM services
Cox, A. et al. “Developments in Research Data Management in Academic Libraries:
Towards an Understanding of Research Data Service Maturity” Journal of the
Association for Information, Science and Technology - September 2017 p. 2191.
DOI: 10.1002/asi
6. Governance of the service
• Academic-led steering group
governs the service
• Quarterly meetings
• Metrics reported (KPIs,
uptake, benchmarking)
• 3 year Roadmap with
approved strategic objectives
• Service owner and service
operations manager lead
across teams
Business Owner = Chair, Steering Group
7. Funding model
• Before 2012 – teams in IS contribute to a patchy RDM programme with
existing core funds and external projects
• From 2012, capital and recurrent funds are secured from the university to
cover the human and physical infrastructure needed to support the
services. A service owner provides oversight across teams.
• Capital funding provides initial purchase of key infrastructure.
• Replacement costs (e.g. storage discs) are paid by charges for some
services, to be recovered from research funders through costs in grants.
• From 2016, new services developed through Digital Research Services
programme, in which projects compete for university investment (e.g.
Data Safe Haven, DataVault).
8. University’s RDM Policy (May, 2011)
https://www.ed.ac.uk/is/
research-data-policy/
Policy by Nick Youngson CC BY-SA 3.0 Alpha Stock
Images
• Commitment to
research integrity,
DMPs, open data as
part of scholarly record
• Articulates clear
responsibilities of the
researcher and of the
institution
8
9. UoE Research Data Service = Tools and support
for working across the data lifecycle
9
https://www.ed.ac.uk/is/research
-data-service
10. Tools and Support Description
DMPOnline Online tool to create a data
management plan, based on
University and funders’ templates
Support and DMP Review Answer enquiries and review plans,
provide advice; in-depth or quick
turaround
Sample DMPs Library of successful plans to show
researchers in different disciplines
Before your research project begins
10
11. Tools and Support Description
Discover and re-use data Data portal and data librarian consultancy;
help with accessing / purchase of datasets or
data subscriptions
Active data storage (DataStore) Central, backed up storage for all researchers
- individual and shared spaces
Sensitive data
(Data Safe Haven)
New, secure facility for working with sensitive
data on remote server. We are pursuing ISO
27001 security certification
Code versioning (Subversion,
Gitlab)
Private or public software code storage and
management. Documents all code and allows
rollback to prior versions
Collaboration and data sync’ing
(DataSync)
Open source tool to allow external partners
to access your research data
Electronic Lab Notebook
(RSpace)
Data management for laboratory based
research; interoperable with local systems
Research in progress
11
12. Tools and Support Description
Open Access data repository
(DataShare)
Allows researchers to share
data publicly and preserve for
long-term
Long-term retention
(DataVault)
Deposit datasets for a specified
retention period (for example,
10 years), immutable copy
Data asset register through the
University CRIS (Pure for
datasets)
Record a description of your
dataset along with your
publications and research
projects
Approaching completion
12
13.
14. Tools and Support Description
General RDM support Answer enquiries by email, phone or
appointment; track through helpdesk system
Online training (MANTRA
and RDMS MOOC)
Learn online at your own pace or with a cohort
of peers through our open educational
resources
Scheduled and bespoke
training
Sign up for a scheduled workshop or request a
special training session for your research group
Research Data Service
website
All the tools and support in one place,
increasingly self-serve
Blog and promotional
materials
New developments on our Research Data Blog.
Service video and brochure
Dealing with Data annual
event & workshop series
Annual conference of researchers talking about
their data challenges and solutions
Research Data Workshop
series in various settings
Compact, catered networking events for
researchers to engage with the service & each
other about challenging topics
Training and support throughout your project