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
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.
Building research data management services at the University of Edinburgh: a ...Robin Rice
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving researchers, librarians, and IT staff. The author discusses the University of Edinburgh's library-led RDM policy as an example. The document also covers supporting researchers through training, guidance, and tools for data management planning and sharing. It proposes additional library RDM services like data repositories, archiving, and metadata standards expertise. Challenges for librarians expanding into this new domain are also addressed.
What does Open Science, Open Scholarship look like?Robin Rice
The document discusses open science and open scholarship. It covers open access and data sharing, including publicly funded research being made publicly available. Code sharing and reproducible research are also discussed, specifically the three R's of sharing: reuse, replication, and reproducibility. The benefits of data sharing, code sharing, and citizen science are provided. Open science is defined as working transparently using social media to get early feedback from the community.
The UK LOCKSS Alliance aims to preserve scholarly works digitally over the long term through community action. It addresses threats like lost access after subscription cancellation, journal discontinuation, or publisher insolvency. Members cooperate to identify and preserve "at-risk" resources using LOCKSS boxes. Challenges include limited preservation funding and low participation. Benefits include post-cancellation access, risk mitigation, and dynamic archiving. The Alliance is supported by JISC Collections and governed by a steering committee from member institutions. Priorities include continued content identification, collection policies, and engagement within the library community.
Introduction to SUNCAT
Background to the redevelopment of the service
Key enhancements of the new interface
Contributing to SUNCAT
How SUNCAT can help you and your users
Demo of the new service
Future plans
Feedback and questions
Presented by Zena Mulligan at the Interlend 2014 Conference, 23-24 June 2014, Carlton Highland Hotel,
Edinburgh.
This document summarizes a workshop on roles and skills for research data management (RDM). It provides examples of RDM support at the Universities of Edinburgh and Bangor. At Edinburgh, RDM involves central IT, libraries, repositories and other units. Support includes data infrastructure, stewardship, and general consultancy. Bangor is working to define roles and deliver collaborative RDM support. The document also describes the Research Data MANTRA training course and a training kit developed by EDINA for academic librarians on RDM topics.
The document discusses managing research data and digital repositories in difficult economic times. It provides an overview of policies, strategies, technologies and infrastructure used to manage research and teaching materials. It also discusses funding from JISC and other organizations for repository services and projects in the UK.
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.
Building research data management services at the University of Edinburgh: a ...Robin Rice
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving researchers, librarians, and IT staff. The author discusses the University of Edinburgh's library-led RDM policy as an example. The document also covers supporting researchers through training, guidance, and tools for data management planning and sharing. It proposes additional library RDM services like data repositories, archiving, and metadata standards expertise. Challenges for librarians expanding into this new domain are also addressed.
What does Open Science, Open Scholarship look like?Robin Rice
The document discusses open science and open scholarship. It covers open access and data sharing, including publicly funded research being made publicly available. Code sharing and reproducible research are also discussed, specifically the three R's of sharing: reuse, replication, and reproducibility. The benefits of data sharing, code sharing, and citizen science are provided. Open science is defined as working transparently using social media to get early feedback from the community.
The UK LOCKSS Alliance aims to preserve scholarly works digitally over the long term through community action. It addresses threats like lost access after subscription cancellation, journal discontinuation, or publisher insolvency. Members cooperate to identify and preserve "at-risk" resources using LOCKSS boxes. Challenges include limited preservation funding and low participation. Benefits include post-cancellation access, risk mitigation, and dynamic archiving. The Alliance is supported by JISC Collections and governed by a steering committee from member institutions. Priorities include continued content identification, collection policies, and engagement within the library community.
Introduction to SUNCAT
Background to the redevelopment of the service
Key enhancements of the new interface
Contributing to SUNCAT
How SUNCAT can help you and your users
Demo of the new service
Future plans
Feedback and questions
Presented by Zena Mulligan at the Interlend 2014 Conference, 23-24 June 2014, Carlton Highland Hotel,
Edinburgh.
This document summarizes a workshop on roles and skills for research data management (RDM). It provides examples of RDM support at the Universities of Edinburgh and Bangor. At Edinburgh, RDM involves central IT, libraries, repositories and other units. Support includes data infrastructure, stewardship, and general consultancy. Bangor is working to define roles and deliver collaborative RDM support. The document also describes the Research Data MANTRA training course and a training kit developed by EDINA for academic librarians on RDM topics.
The document discusses managing research data and digital repositories in difficult economic times. It provides an overview of policies, strategies, technologies and infrastructure used to manage research and teaching materials. It also discusses funding from JISC and other organizations for repository services and projects in the UK.
Presented by Peter Burnhill and Lisa Otty at 36th Annual IATUL Conference in Hannover, Germany, 5 - 9 July 2015 “Strategic Partnerships for Access and Discovery”
1) The University of Edinburgh requires research data that has future historical interest or represents records of the university to be deposited in an appropriate repository.
2) Edinburgh DataShare is one of the key research data management services offered by the university and has worked to meet the requirements of pilot submissions from various research communities and data types.
3) Discussions at the Repository Fringe event covered topics such as depositing student thesis data, handling sensitive health data, supporting non-standard metadata and licenses, and ensuring long-term access to large datasets.
Presented by Peter Burnhill, Director of EDINA, Beyond Books: What STM & Social Science publishing should learn from each other, London. Conference programme. 22 April 2010.
IASSIST40: Data management & curation workshopRobin Rice
The document summarizes Edinburgh DataShare, an open access data repository at the University of Edinburgh that supports the university's research data management policy. It stores a wide range of research data across disciplines. The repository uses the DSpace platform and is promoting open data, though getting some academics to deposit data can be challenging. It focuses on making metadata and data discoverable through various search tools and indexes. Basic quality assurance checks are performed during the self-deposit process.
The Research Data MANTRA (MANagementTRAining) project at the University of Edinburgh created open online learning materials for research data management. The materials were developed for postgraduate students and early career researchers, grounded in best practices for specific disciplines like social science and geosciences. The course includes video interviews, data exercises, and will be embedded in university graduate programs and available openly online. Key to the project's success will be positive user feedback and increased advocacy for research data management practices across the university. The university also approved a new research data policy to provide guidelines and support for proper data management.
DIY RDM Training Kit for Librarians (PK)Robin Rice
This document describes the development of a Do-It-Yourself Research Data Management Training Kit for Librarians created by Robin Rice, a Data Librarian. The kit was created to train liaison librarians at the University of Edinburgh on research data management (RDM) concepts. It uses a blended learning approach, combining online modules from an existing RDM training course called MANTRA with in-person sessions. The in-person sessions include discussions, exercises, guest speakers, and homework assignments. The goal is to help librarians learn about RDM topics so they can better support researchers in data management practices. The complete training kit is made available openly under a CC-BY license for other institutions to adapt and reuse
The document summarizes discussions from a meeting about ensuring long-term access to scholarly works in electronic formats. It describes the governance and activities of the UK LOCKSS Alliance, including comparison of different e-journal archiving initiatives, the PECAN project to build an entitlement registry, and recommendations from a white paper on e-journal archiving. It also discusses the newly formed JARVIG committee tasked with determining the most effective national e-journal archiving infrastructure for UK higher education.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
The document discusses the evolution of digital library services at EDINA from the 1990s to present day. It covers:
1. Early services like SALSER, a union catalog of serials in Scotland, and knowledge gained from projects like JOIN-UP on distributed architectures.
2. Key projects and services over time including SUNCAT, the Keepers Registry for e-journal preservation, and work on entitlement registries.
3. The central role of identifiers like ISSN in enhancing records and enabling services across these systems.
4. A vision for further integrating print and digital content and moving to semantic web approaches by 2020.
Slides used in Digimap Collections training courses in April 2013.
Digimap Collections provides mapping data of GB to licensed UK educational institutions.
Slides given an introduction to the Collections, then cover Digimap Roam mapping service plus the Data Download service.
Presented by Peter Burnhill and Lisa Otty at 36th Annual IATUL Conference in Hannover, Germany, 5 - 9 July 2015 “Strategic Partnerships for Access and Discovery”
1) The University of Edinburgh requires research data that has future historical interest or represents records of the university to be deposited in an appropriate repository.
2) Edinburgh DataShare is one of the key research data management services offered by the university and has worked to meet the requirements of pilot submissions from various research communities and data types.
3) Discussions at the Repository Fringe event covered topics such as depositing student thesis data, handling sensitive health data, supporting non-standard metadata and licenses, and ensuring long-term access to large datasets.
Presented by Peter Burnhill, Director of EDINA, Beyond Books: What STM & Social Science publishing should learn from each other, London. Conference programme. 22 April 2010.
IASSIST40: Data management & curation workshopRobin Rice
The document summarizes Edinburgh DataShare, an open access data repository at the University of Edinburgh that supports the university's research data management policy. It stores a wide range of research data across disciplines. The repository uses the DSpace platform and is promoting open data, though getting some academics to deposit data can be challenging. It focuses on making metadata and data discoverable through various search tools and indexes. Basic quality assurance checks are performed during the self-deposit process.
The Research Data MANTRA (MANagementTRAining) project at the University of Edinburgh created open online learning materials for research data management. The materials were developed for postgraduate students and early career researchers, grounded in best practices for specific disciplines like social science and geosciences. The course includes video interviews, data exercises, and will be embedded in university graduate programs and available openly online. Key to the project's success will be positive user feedback and increased advocacy for research data management practices across the university. The university also approved a new research data policy to provide guidelines and support for proper data management.
DIY RDM Training Kit for Librarians (PK)Robin Rice
This document describes the development of a Do-It-Yourself Research Data Management Training Kit for Librarians created by Robin Rice, a Data Librarian. The kit was created to train liaison librarians at the University of Edinburgh on research data management (RDM) concepts. It uses a blended learning approach, combining online modules from an existing RDM training course called MANTRA with in-person sessions. The in-person sessions include discussions, exercises, guest speakers, and homework assignments. The goal is to help librarians learn about RDM topics so they can better support researchers in data management practices. The complete training kit is made available openly under a CC-BY license for other institutions to adapt and reuse
The document summarizes discussions from a meeting about ensuring long-term access to scholarly works in electronic formats. It describes the governance and activities of the UK LOCKSS Alliance, including comparison of different e-journal archiving initiatives, the PECAN project to build an entitlement registry, and recommendations from a white paper on e-journal archiving. It also discusses the newly formed JARVIG committee tasked with determining the most effective national e-journal archiving infrastructure for UK higher education.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
The document discusses the evolution of digital library services at EDINA from the 1990s to present day. It covers:
1. Early services like SALSER, a union catalog of serials in Scotland, and knowledge gained from projects like JOIN-UP on distributed architectures.
2. Key projects and services over time including SUNCAT, the Keepers Registry for e-journal preservation, and work on entitlement registries.
3. The central role of identifiers like ISSN in enhancing records and enabling services across these systems.
4. A vision for further integrating print and digital content and moving to semantic web approaches by 2020.
Slides used in Digimap Collections training courses in April 2013.
Digimap Collections provides mapping data of GB to licensed UK educational institutions.
Slides given an introduction to the Collections, then cover Digimap Roam mapping service plus the Data Download service.
The document discusses the Organisation and Repository Identification (ORI) system and Repository Junction Broker (RJ Broker). ORI aggregates information about organisations and repositories to provide identification and RJ Broker aims to automate deposition of research outputs to multiple repositories using ORI identifiers. It seeks to increase open access deposits by minimizing effort for depositors and repository managers. Key challenges include supporting various stakeholders, file formats, and standards while providing an automated, scalable solution for processing and depositing research outputs across repositories.
This document discusses using social media to develop an academic profile and engage others in research. It defines social media as websites that allow contribution and connection. Examples include blogs, Twitter, YouTube, Facebook and LinkedIn. The benefits of social media are that it allows researchers to share their expertise, engage in dialogue, and potentially generate interest in their work. The document provides tips on which social media tools to use and how to plan an effective strategy, including considering goals, audience, and content. It also discusses maintaining privacy and professionalism online.
How Jisc MediaHub allows sophisticated searching and discovery of a large range of multimedia items. Presented by Andrew Bevan at the RSC Northern efest 2014, Sunderland, 5 June 2014.
The document discusses using OpenURL activity data to provide recommendations and personalization, similar to how a pizza delivery service knows customers' usual orders and can recommend new options. It provides examples of OpenURL request data logged by institutional resolvers and routers that could be used to see common search patterns and provide additional related resources to users. The document encourages analyzing the public OpenURL log data to learn more about usage at individual institutions and how to best maintain and upgrade the service.
This document summarizes a webinar about an interoperability experiment (IE) testing the integration of Shibboleth single sign-on and OGC web services. The IE involved several organizations demonstrating that their OGC client software could access protected WMS and WFS through a Shibboleth federation. The goal was to show clients from different organizations successfully authenticating and accessing map and feature services across administrative boundaries without changes to OGC specifications or Shibboleth. The webinar demonstrated examples of desktop and browser-based clients accessing services after single sign-on.
SUNCAT is the national Serials Union Catalogue for the UK containing information about print and electronic serials holdings of over 90 libraries. It is undergoing redevelopment to provide enhanced functionality, a new interface, and ability to be more responsive. The redevelopment includes designing a new user interface and will allow users to discover, access, and find the location of journal titles and articles held across contributing libraries.
The document reports on the progress of the IASSIST Latin Engagement Strategic Action Group. It summarizes the group's findings from surveying data professionals in Spain. It found that while data library roles are not prominent, interest in research data management is growing. The document recommends that IASSIST provide multilingual resources, training events in Spain, and opportunities for Latin American members to attend conferences to further engage Latin members.
The state of play currently with the preservation of all things webby and concrete actions to take. Delivered by Peter Burnhill at the ALSP event "Standing on the Digits of Giants: Research data, preservation and innovation" on 8 March 2015 in London.
Jisc MediaHub presentation, part of the Jisc Collections session for the College Development Network’s Getting Best Value from College Licences event, 26 February 2015
This document provides an overview of using the Digimap for Schools online mapping resource in Scottish classrooms and outdoor learning. It discusses how maps can enhance social studies curriculum by providing context, revealing information, and presenting data. Examples are given of how Digimap for Schools can be used to explore places near and far, identify features, plan routes, study wildlife habitats, map where food comes from, examine historical changes to places, explore past events, and map tourism features. An demonstration of the resource is provided, along with hands-on exercises and information on subscription pricing.
This document maps the landscape of research literature repositories by exploring the key stakeholders and workflows. It shows researchers submitting manuscripts to journals after receiving grants from funders. It also depicts authors depositing final copies in institutional repositories, which are the focus of open access. Various stakeholders like funders, institutions, publishers and readers are represented along with systems like CRIS and metrics collection. The document aims to understand the ecosystem and identify areas for improvement or cross-pollination between workflows.
Presented by Chris Higgins at the Co-Design Workshop, Machynlleth, 16 October 2014. Half-way through a 4-year project to enable "citizen scientists" to use smartphones to upload crucial scientific data, this presentation shows the current state of progress on the COBWEB project.
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.
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
This document provides an overview of research data management (RDM) priorities, stakeholders, and practices from the perspective of the University of Edinburgh. It discusses the university's RDM roadmap, which aims to implement RDM services and support over multiple phases by April 2015. Key services discussed include general RDM support and consultancy, support for data management planning, storage and collaboration facilities, and tools for long-term data management and deposit. The roles of key university committees in overseeing the RDM program are also outlined. Finally, the document discusses the university's communications plan to raise awareness of RDM among researchers and support staff.
Research Data Support at the University of EdinburghRobin Rice
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.
Presentation by Stuart Macdonald of the Edinburgh University Data Library at the Graduate School of Social and Political Science Induction, 15 and 16 Septeber, 2011, University of Edinburgh
The document provides background information on RDM services at the University of Edinburgh. It summarizes that EDINA and the University Data Library provide research data management support and online resources. It then overviews key RDM services including DataStore for active research data storage, DataShare for open data publication, and plans for a long-term DataVault archive. The document also discusses RDM training and the university's RDM policy implemented through a multi-phase roadmap.
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.
The document summarizes the activities of EDINA and the Data Library at the University of Edinburgh related to research data management. It describes EDINA as a national data center that provides online resources for education and research. The Data Library assists university researchers with discovering, accessing, using and managing research datasets. It also outlines several projects the Data Library is involved in to develop training, policies and services to support best practices in research data management according to funder requirements. This includes developing an institutional research data management roadmap to help the university meet funder expectations by 2015.
The document provides information about research data management (RDM) services and initiatives at the University of Edinburgh. It describes the EDINA National Data Centre and Data Library, which provide online resources and data management support. It outlines several JISC-funded RDM projects undertaken by the Data Library, including building the Edinburgh DataShare repository. It also summarizes the Research Data MANTRA training module and the university's RDM roadmap, which lays out a multi-phase plan to improve RDM support and services by 2015 in line with funder requirements.
Data Library Services at the University of EdinburghRobin Rice
The Data Library at the University of Edinburgh was established in the early 1980s to provide access to datasets like UK census data. It has since evolved to support research data management across its lifecycle through services like consultancy, a dataset catalogue, and training. The Data Library is now part of a research data management program that includes an institutional data repository called Edinburgh DataShare that has deposited around 250 datasets so far. A key part of training is the open online Research Data Management course called MANTRA.
RDM programme @ Edinburgh an institutional approachJisc
The University of Edinburgh has established a Research Data Management (RDM) programme to implement its RDM policy. The programme provides services and support for researchers at all stages of working with research data, including data management planning, active working file storage, data publication, long-term data archiving, and a data asset register. It is governed by committees and implemented in phases, with initial services already in place and more under development. Training, guidance and consultancy are also offered to help researchers comply with funder requirements and best practices for RDM.
The role of repositories in supporting RDM: lessons from the DCC engagementsRepository Fringe
Angue Whyte's slides from his short presentation on the role of repositories in supporting Research Data Management (RDM). These were presented on Friday 2nd August 2013 at Repository Fringe 2013.
The University of Edinburgh has undertaken several initiatives to improve research data management practices among researchers:
- Projects funded by JISC aimed to enhance the university's data library services and support researchers in sharing and managing their data. This included establishing an institutional data repository.
- Engaging with researchers through a data audit found that storage was often insufficient and data was not well managed or documented. This highlighted the need to support researchers in better data management practices.
- Current efforts include developing research data storage and management policies, providing training through the Research Data MANTRA project, and recommending ways to address researchers' data storage and documentation needs. The goal is to help researchers share, publish and enable reuse of research data.
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).
Edinburgh DataShare: Tackling research data in a DSpace institutional repositoryRobin Rice
1) The document discusses Edinburgh DataShare, a data repository at the University of Edinburgh that was established as part of the DISC-UK DataShare project to explore new ways for academics to share research data over the internet.
2) It describes lessons learned from establishing the repository, including that top-down drivers are important for data sharing, and that data libraries can help bridge communication between researchers and repository managers.
3) The document recommends that institutions develop research data policies to clarify rights and responsibilities regarding data sharing and management.
Transforming scholarly communications support at Imperial College LondonTorsten Reimer
Presentation given by Ruth Harrison and Torsten Reimer at the 2016 RLUK Conference in London. We discuss how collaboration between Library Services and the Research Office has transformed Scholarly Communications Support (Open Access and Research Data Management, but also related areas such as reporting and ORCID) at Imperial College London.
Similar to RDM through a UK lens - New Roles for Librarians? (20)
Historic Environment Scotland (HES) manages Scotland's historic environment and archives. The presentation discusses HES's digital archiving processes, which involve quarantining and virus checking digital materials, cataloging them in an Oracle database according to international standards, and making them accessible on Canmore. Future plans include digitizing over 1 million images, applying for digital repository accreditation, migrating formats for long-term preservation, and formalizing policies and procedures.
The document summarizes a presentation given by Stuart Macdonald, Digital Archivist at Historic Environment Scotland, about digital archiving practices at HES. HES manages archival collections including aerial photographs, historic images, and Canmore, an online catalogue of Scotland's historic environment. Macdonald discussed HES's digital archiving processes, which include virus checking, cataloguing, and storing digital assets according to archival standards. Future plans include seeking accreditation as a trusted digital repository, integrating a digital preservation system, and formalizing policies and procedures.
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.
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.
The document discusses integrating the RSpace electronic lab notebook (ELN) with the University of Edinburgh's research data management services. It describes how RSpace can link to files stored in Edinburgh's DataStore storage system, export data and metadata to the DataShare research data repository, and archive data long-term in the future DataVault archive. The integration helps researchers manage and share their data across different projects and institutions while complying with the university's RDM policy. RSpace provides a convenient interface for researchers, while the services help institutions meet requirements for data storage, publication, and preservation.
This document provides an overview of a workshop on good practice in research data management held at the University of Tartu, Estonia. The workshop covered various topics including defining research data, research data management and data management plans, organizing and documenting data, file formats and storage, metadata, security, and sharing and preserving data. The workshop was led by Stuart Macdonald from the University of Edinburgh and included presentations, introductions, and discussions around each of these research data management topics.
The University of Edinburgh implemented a research data management policy and programme to provide services and support for researchers. Key services include DataStore for active data storage, DataShare for publishing data, and DataVault for long-term preservation. Training, guidance on data management planning, and support staff help researchers comply with funder requirements and best practices. The multi-phase programme establishes critical services while pursuing interoperability and engaging the research community.
The Edinburgh DataShare is an institutional data repository hosted by the University of Edinburgh Data Library to provide open access to research datasets. It uses a customized DSpace platform to allow discovery of datasets and provides persistent identifiers, metadata harvesting, and quality assurance checks. Enhancements are being made to streamline deposit workflows and improve usability, and future plans include pursuing a Data Seal of Approval and integrating with other systems like GitHub and electronic lab notebooks.
The document summarizes the research data management program at the University of Edinburgh. It discusses the services provided, including a data management planning tool, a data repository for publication and preservation, and a data storage system. Training and support are also offered to help researchers with best practices in organizing, documenting, sharing, and preserving their research data over its entire lifecycle. The program aims to implement the University's research data policy and support funder requirements by establishing these research data management services.
The document provides an overview of the CISER Data Archive at Cornell University and introduces key concepts of research data management (RDM).
The CISER Data Archive is a collection of over 27,000 numeric datasets to support quantitative research in various social science fields. It provides consulting services to help users find, access, and use data. It also maintains the Cornell research data repository.
The document defines research data and outlines the research data lifecycle. It discusses best practices for organizing, documenting, storing, and securing research data. Key aspects of RDM include developing data management plans, using appropriate file formats, and ensuring long-term preservation and sharing of research data.
The Cornell University CISER Data Archive contains over 27,000 numeric datasets covering topics such as demography, economics, health, labor, and surveys. It provides consulting services to help users find, access, and use appropriate data for their research needs. Cornell researchers can download publicly available datasets or access restricted data within the CISER computing environment. The archive also maintains a restricted data center for Cornell researchers to preserve and share their own research data.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Gender and Mental Health - Counselling and Family Therapy Applications and In...
RDM through a UK lens - New Roles for Librarians?
1. RDM through a UK lens - New
Roles for Librarians?
Stuart Macdonald
Research Data Management Service Coordinator
Research & Library Services
University of Edinburgh
Email:
stuart.macdonald@ed.ac.uk
Towards linked science – Open Data and DataCite Estonia, University
of Tartu, 23 October, 2014
2. Outline
Background
Traditional Data Library Services
RDM Programme at University of Edinburgh
Drivers: Funders & Jisc
Data Services and initiatives at University of
Edinburgh
3. Background
EDINA and University Data Library (EDL) together are a division
within Information Services (IS) of the University of Edinburgh.
EDINA is a Jisc-designated national centre for digital expertise &
online service delivery
The Data Library assists Edinburgh University users in the discovery,
access, use and management of research datasets.
Research & Library Services, part of Library and University Collections
coordinate the RDM Programme at Edinburgh
5. What is a data library?
A data library refers to the services that foster use of collections
of numeric and/or geospatial data sets for secondary use in
research.
A data library is normally part of a larger institution (academic,
scientific, medical, governmental, etc.) established to serve the
data users of that organisation.
The data tends to be housed local ly or via subscription and
accessed through various means (SFTP, CD-/DVD-ROMs or
server download).
A data library may also maintain subscriptions to licensed data
resources.
6. Data Library: History
Established out of the Program Library Unit in early
1980s to provide access to data on mainframes, e.g.
1981 population census data. Was part of EUCS,
now Information Services
Became a Jisc national data centre as EDINA in
1993
Data Library continues University remit
celebrated 30th anniversary in 2013
8. Data Library Consultancy
• finding…
• accessing …
• using …
• managing …
Primarily supporting research in the social sciences but
not exclusively so.
Building relationships with researchers via:
• Postgraduate teaching activities,
• Research support projects,
• IS Skills workshops,
• Research Data Management training
• Through traditional reference interviews.
9. Data Library Resources:
• Large-scale Government survey
survey data
• Country and regional level time-time-
series data
• Population and Agricultural
Census data
• Financial and market data
• Geospatial data
• Resources for teaching
10. Data service delivery models
3 ‘traditional’ Data Libraries in the UK: Edinburgh University Data
Library; London School of Economics; Oxford University
In Europe, model primarily is of National Data Archives in the
Social Sciences (CESSDA)
In the US, data libraries at all research-intensive universities, some
in research centres (e.g. Cornell), some in libraries (John Hopkins,
Michigan) – broadening out to be RDM services
In Canada, data libraries are predominantly situated in University
Libraries, manned mainly by librarians
11. Data Liberation Initiative (DLI)
Program between Statistics Canada and Canadian
Universities to provide affordable access to public
data files for researchers
Subscription based
Housed in academic libraries
Due campus-wide coverage
Before 1996 – 9 Universities with Data Library facilities
1996 - 50 became members within the 1st year
2011 - 75 Universities with data service capability (out of a
total of 98)
13. RDM Services and Support
RDM Roadmap – sets out a high-level programme of RDM
infrastructure, service and support deliverables to implement
Edinburgh’s RDM Policy
3 phases: August 2012 – May 2015
Services already in place:
Data management planning (F-2-F, DMPonline)
Active working file space = DataStore
Data publication repository = DataShare
Services in development:
Long term data archive = DataVault
Data Asset Register (DAR)
RDM support: Awareness raising, training & consultancy
14. Data Library & RDM
Research data management training:
Research Data MANTRA
Institutional data repository provision
Edinburgh Datashare
Assistance with deposit in national archives to comply
with funder requirements
Assistance with Data Management Plans (DMPs)
15. Research Data MANTRA
Open online course aimed at
researchers managing digital
data as part of the research
process
Units map on the research data
lifecycle
• PLUS software-specific data handling practicals
• Open online, self-paced course for researchers
• RDM DIY Training Kit for Librarians
• CC licences
16. Edinburgh DataShare
Edinburgh DataShare is an
online multi-disciplinary data
repository for Edinburgh
researchers who want to
publish and openly share
their data .
Citation
ODC Attribution licences
Persistent Identifers
OAI-PMH
19. Jisc-funded MRD Programmes (UK)
Jisc is ‘a registered charity [.. that ..] champions the use of digital
technologies in UK education and research.’ It is funded by UK HE and FE
funding bodies (and from 2014-15 membership subscription)
Strand 1 Projects (Oct. 2009 – Sept. 2011):
Piloting RDM infrastructures within institutions
Developing RDM Training materials
Strand 2 Projects (Oct. 2011 – Jul. 2013:
To help universities develop RDM support infrastructure & build capacity
To customize DCC’s DMP Online tool for institutional use
Strand 2 activities were complemented by work to develop disciplinary-focused
RDM training materials for liaison librarians and research officers etc
20. DCC RDM 2014 Survey
National picture of institutional progress in RDM (post- Jisc
MRD)
Understand barriers, perceived gaps in RDM support
Pro-VC’s for Research & Heads of Library, IT, Research Support &
Commercialisation
Institutions with at least 10% income from research
87 responses from 61 institutions (incl. all 24 Russell Group*
institutions)
* The Russell Group is an association of 24 British public research universities whose objective is to lead the research
efforts of the UK. They receive approximately two-thirds of all university research grant and contract income in the
United Kingdom.
21. Funding & staffing
• c. 90% of institutions used internal funding for new appointments in
RDM, for training and development of researchers and support
staff, and for infrastructure.
• Almost half of institutions (48%) expect that 'most' staffing of RDM
roles in future will be resourced by restructuring existing roles
• Overall provision for RDM is currently 4.4 FTE on average
• 4.7 FTE being the average in Russell Group institutions and 2.6FTE
the average in other target group institutions.
• Library roles are prevalent, supporting 1 fixed term and 1
permanent staff member on average.
22. • RDM staffing is expected to double to 9.5 FTE in Russell Group
institutions in next year, split roughly equally between Library, IT and
Research Office staff.
• For others institutions in target group RDM staffing is expected to rise
only slightly to 3 FTE
• Overall, the picture that emerged is of substantial investment by
institutions in staff and infrastructure for RDM, but much of it
concentrated In Russell Group institutions.
• There is a strong appetite for collaborative solutions through regional
consortia of institutions
23. How does University of Edinburgh measure
up?
RDM Programme:
Funded internally (c. 1.5 Million Euros)
75% - infrastructure / storage
25% - staffing (recurrent for 3 years)
MANTRA and DataShare – originally Jisc project funding
Staffing:
Data Library: 2.5 FTE equivalent core funding + 1.75 FTE from RDM
Programme (fixed term)
Research & Library Services: 2 FTE equivalent
Following RDM training (including training on writing DMPs) the job
description of all Academic Support Librarians have been restructured
to incorporate RDM as part of their role.
25. Administrative Data Research Centre Scotland
ESRC-funded to provide trusted researchers access to de-identified administrative
data in a secure environment. Based at the University of Edinburgh
Digital Curation Centre (DCC)
A renowned centre of expertise in digital curation with a focus on building capacity,
capability and skills for RDM across the UK's higher education research community.
DCC provides expert advice and practical help to anyone in UK higher education and
research wanting to store, manage, protect and share digital research data
EDINA – a Jisc-designated national centre of expertise in digital innovation
and data service delivery
26. Centre for Doctoral Training in Data
Science
EPSRC Centre for Doctoral Training (CDT) in Data Science will be
hosted by the School of Informatics
The CDT in Data Science will train a new generation of data
scientists with the technical skills and interdisciplinary awareness
necessary to become research leaders in Data Science.
Comprising 50 PhDs over five intake years - the first cohort will
start in the programme in September 2014
CDT applications will automatically be considered for the full 1 year
MSc by Research + 3 year PhD programme.
27. Aitäh!
Links
Data Library Services: http://www.ed.ac.uk/is/data-library
EDINA: http://edina.ac.uk/
IASSIST: http://www.iassistdata.org/
Univ.of Edinburgh RDM Programme: http://www.ed.ac.uk/is/data-management
RDM Roadmap: http://edin.ac/1u3sKqy
Edinburgh DataShare - http://datashare.is.ed.ac.uk/
MANTRA - http://datalib.edina.ac.uk/mantra
RDM Guidance: http://tinyurl.com/pq3szvf
Jisc Managing Research Data Strand 1: http://www.jisc.ac.uk/whatwedo/programmes/mrd.aspx
Jisc Managing Research Data Strand 2: http://tinyurl.com/6w6g6qx
Final Results from the DCC RDM Survey 2014 -
https://www.zotero.org/groups/jhu_dms/items/itemKey/BNRG25T3
ADRC Scotland - - http://adrn.ac.uk/centres/scotland
EPSRC Centre for Doctoral Training (CDT) in Data Science: http://datascience.inf.ed.ac.uk/
Digital Curation Centre: http://www.dcc.ac.uk/