The document provides an update on the Jisc Research Data Shared Service, including its key drivers, vision and goals, pilot scope, timeline, and current status. The shared service aims to provide visible data through invisible infrastructure to enable better research, choice, efficiencies of scale, and policy compliance while saving costs. A pilot program is underway with 13 institutions testing 7 platforms through 8 procurement lots and 13 supplier collaborations. The service will be governed by Jisc and informed by an expert advisory group.
Building a national Data Repository Data ModellingJisc RDM
This document outlines an agenda for a Jisc workshop on data modelling. The workshop will cover StarUML for data modelling, the Jisc Research Data Shared Service conceptual architecture, the canonical data model on GitHub, modelling for interoperability, making data FAIR according to metadata principles, a recent FAIR practices report, content modelling and content models, mapping between the canonical data model and CERIF standard, and an exercise for participants to build their own content model.
Building a National Data Service Open Repositories 2018Jisc RDM
This document outlines the agenda and introductory information for a workshop on building a national research data service in the UK. The agenda covers introducing the Jisc Research Data Shared Service (RDSS) and demonstrating its data modeling and system integration architecture. Participants will have interactive sessions on workflows, events, and integrations. Speakers will include representatives from Jisc, Figshare, and Digirati discussing their experiences with RDSS. Jisc aims to create a shared, interoperable research data infrastructure for UK universities to better manage research data across institutions.
Demonstration of the 4C cost comparison toolJisc RDM
The document discusses a demonstration of the 4C Cost Comparison Tool, which allows organizations to map asset types, activities, purchases, and staff to create cost sets for research data management. It describes the process of creating an organization profile, cost set, and activity mapping in the tool. The presentation concludes with a live demo of the tool and links to related projects for assessing the costs of research data management.
National data services lightening talk at the RDAJisc RDM
Our slides for the lightening talk at the annual RDA in Tokyo. All about the national shared services to support research data infrastructure. March 2016.
RD shared services and research data springJisc RDM
Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.
Building a national Data Repository Data ModellingJisc RDM
This document outlines an agenda for a Jisc workshop on data modelling. The workshop will cover StarUML for data modelling, the Jisc Research Data Shared Service conceptual architecture, the canonical data model on GitHub, modelling for interoperability, making data FAIR according to metadata principles, a recent FAIR practices report, content modelling and content models, mapping between the canonical data model and CERIF standard, and an exercise for participants to build their own content model.
Building a National Data Service Open Repositories 2018Jisc RDM
This document outlines the agenda and introductory information for a workshop on building a national research data service in the UK. The agenda covers introducing the Jisc Research Data Shared Service (RDSS) and demonstrating its data modeling and system integration architecture. Participants will have interactive sessions on workflows, events, and integrations. Speakers will include representatives from Jisc, Figshare, and Digirati discussing their experiences with RDSS. Jisc aims to create a shared, interoperable research data infrastructure for UK universities to better manage research data across institutions.
Demonstration of the 4C cost comparison toolJisc RDM
The document discusses a demonstration of the 4C Cost Comparison Tool, which allows organizations to map asset types, activities, purchases, and staff to create cost sets for research data management. It describes the process of creating an organization profile, cost set, and activity mapping in the tool. The presentation concludes with a live demo of the tool and links to related projects for assessing the costs of research data management.
National data services lightening talk at the RDAJisc RDM
Our slides for the lightening talk at the annual RDA in Tokyo. All about the national shared services to support research data infrastructure. March 2016.
RD shared services and research data springJisc RDM
Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.
This document summarizes an OpenAIRE stakeholder workshop that took place in Athens on May 21-22, 2018. OpenAIRE supports open science by monitoring research outputs, accelerating interoperability and exchange, and supporting researchers and infrastructure providers through services like an open science helpdesk and research data management support. The workshop discussed OpenAIRE's network of National Open Access Desks, services to support open policies, infrastructure, open research data and open access publications, and efforts to build an open scholarly communication graph and research information system. OpenAIRE also presented services for content providers like the PROVIDE Dashboard for validation, enrichment and usage statistics of metadata.
UK central, national and local government organizations are publishing linked open data to increase transparency, effectively share data within their own organization and with public sector partners and businesses, monitor policy progress, and target resources and investment. Publishing data as linked open data allows for integration of data across organization boundaries and the combination of data from different sources to enable new analysis methods and save time for analysts. While publishing open data provides benefits like easier data discovery and access, it also presents challenges like needing new skills in public sector organizations and quantifying benefits. Lessons learned include catering to different audience needs, promoting the role of data intermediaries, and engaging with data consumers.
This document outlines the top 5 benefits of an enterprise GIS system for Sovereign Housing, a large UK housing association. The benefits are: 1) efficient use of staff time through a centralized system, 2) better customer service through faster access to accurate property data, 3) revealing development and asset management opportunities through improved land analysis, 4) enabling strategic insight through spatial analysis of trends and policy impacts, and 5) better planning for mergers and future growth through evaluation of property distributions. The document traces Sovereign's adoption and increasing use of their GIS system, called SEMS, showing growth from 30 to 500 trained users in recent years.
As more and more linked data and open data emerges, RAGLD aims to meet rising demand for a suite of application developers’ tools to make it easier to bring together, use and exploit this diverse data.
This project aims to provide the tools, components and services necessary to build linked data applications, helping to speed up and enhance the use of linked data and realise the potential in linked data for data integration and discovery.
Towards the synergy of INSPIRE with eGovernment and OpenData in SlovakiaMartin Tuchyna
The document discusses INSPIRE achievements and alignment with eGovernment and OpenData initiatives in Slovakia. Key INSPIRE achievements include improved coordination, relevant legislation, activation of expert groups, and identification and documentation of spatial datasets. Alignment with eGovernment is driven by a focus on harmonized spatial data sharing. OpenData is improving government partnership through initiatives like the Open Government Partnership and national Open Data Portal. Moving forward, opportunities exist through consistent documentation, metadata exchange, and focus on high demand data, while challenges remain around reference data concept, interoperability, licensing, and integration of spatial and non-spatial data.
The document discusses the Helsinki Region Infoshare project which aims to make regional data openly available through a centralized web service. The project will develop guidelines for data owners to publish their information and build a portal for users to easily find, access, and use the data. An implementation timeline is provided, outlining pilot phases from 2010-2012 and ongoing operations after 2012. Motivations for open data initiatives and some example data types and applications are also summarized.
Collaboration for research enhancement by active metadataJisc
This document summarizes a research project called CREAM that aims to establish best practices for the active use of metadata in research. The project brings together partners from various universities and research institutions. CREAM will provide guidelines and examples to demonstrate how metadata can make research more effective, agile, and timely by enabling reuse, reproducibility, reinterpretation and validation of research data. It will characterize different tasks that actively use metadata and explore standards for metadata exchange.
The expanding role of metadata supporting modern statistical production proce...Tilastokeskus
The document discusses the expanding role of metadata in supporting modern statistical production processes. It notes that improved information management can provide reliable, up-to-date, easy to find, tailored, linked, and need-fulfilling information to customers. The document calls for metadata management to have a more strategic focus, for the Nordic community to help modernize statistics, and for metadata to be made more usable and interoperable according to common standards and guidelines.
Open source database as a service (with data publishing)Jisc
This document discusses an online research database service called ORDS that provides database-as-a-service capabilities for researchers. It was developed by the University of Oxford and OSS Watch and several other universities have expressed interest. The service aims to provide an easy to use database for non-technical researchers to collaborate and share their research data. It encourages good research data management practices and hopes to become a sustainable open source project used across institutions.
This document discusses research into structurally adopting open data practices within governmental organizations in the Netherlands. It describes two research programs conducted with the Province of South Holland and Municipality of The Hague. The research explored international and national open data developments and lessons learned from key expert interviews. It calls for standardized open data publication processes, supportive organizational culture and policy, and centralized coordination of legal and technical open data representatives to fully integrate open data practices.
General Introduction to the Oxford e-Research CentreDavid Wallom
Digital Oxford is a collaborative research hub that is transforming research through innovative digital methods. It focuses on key areas like data capture, curation, publication and standards to create technologies that disseminate and reuse research data. The hub works with various communities including curators, data producers, consumers, developers, researchers, and policy makers through its network of high performance computing, infrastructure, and communications systems.
Presentation on the FAIR data principles and how they relate to Science Gateways and software. Presented at a workshop prior to eResearch Australasia 16 October 2017
RAGLD - Rapid Assembly of Geo-Centred Linked Data ApplicationsJohn Goodwin
This talk will describe the RAGLD framework (Rapid Assembly of Geo-centred Linked Data) and examples will be given on how it can be used to make it easier to develop linked data applications.
As more linked data and open data emerges a need was identified to meet a rising demand for a suite of application developers’ tools to make it easier to bring together, use and exploit these diverse data sets. RAGLD aims to create a set of tools, components and services to make it easier to develop linked Data applications. This talk will describe the RAGLD framework and examples will be given on how it can be used.
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSCpilot .eu
The EOSC faces as well technical, social and economic challenges on interoperability. These have to be overcome in order to provide an efficient EOSC architecture. Some solutions are in place in some domains, but these have to be expanded to the cross-disciplinary and/or international level. In this presentation, we discuss FAIR data sharing and current developments.
Researcher data management shared service for the UK – John Kaye, Jisc
Hydra - Tom Cramer, Stanford University and Chris Awre, University of Hull
Addressing the preservation gap at the University of York - Jenny Mitcham, University of York
Emulation developments - David Rosenthal, Stanford University
Jisc and CNI conference, 6 July 2016
This document summarizes an OpenAIRE stakeholder workshop that took place in Athens on May 21-22, 2018. OpenAIRE supports open science by monitoring research outputs, accelerating interoperability and exchange, and supporting researchers and infrastructure providers through services like an open science helpdesk and research data management support. The workshop discussed OpenAIRE's network of National Open Access Desks, services to support open policies, infrastructure, open research data and open access publications, and efforts to build an open scholarly communication graph and research information system. OpenAIRE also presented services for content providers like the PROVIDE Dashboard for validation, enrichment and usage statistics of metadata.
UK central, national and local government organizations are publishing linked open data to increase transparency, effectively share data within their own organization and with public sector partners and businesses, monitor policy progress, and target resources and investment. Publishing data as linked open data allows for integration of data across organization boundaries and the combination of data from different sources to enable new analysis methods and save time for analysts. While publishing open data provides benefits like easier data discovery and access, it also presents challenges like needing new skills in public sector organizations and quantifying benefits. Lessons learned include catering to different audience needs, promoting the role of data intermediaries, and engaging with data consumers.
This document outlines the top 5 benefits of an enterprise GIS system for Sovereign Housing, a large UK housing association. The benefits are: 1) efficient use of staff time through a centralized system, 2) better customer service through faster access to accurate property data, 3) revealing development and asset management opportunities through improved land analysis, 4) enabling strategic insight through spatial analysis of trends and policy impacts, and 5) better planning for mergers and future growth through evaluation of property distributions. The document traces Sovereign's adoption and increasing use of their GIS system, called SEMS, showing growth from 30 to 500 trained users in recent years.
As more and more linked data and open data emerges, RAGLD aims to meet rising demand for a suite of application developers’ tools to make it easier to bring together, use and exploit this diverse data.
This project aims to provide the tools, components and services necessary to build linked data applications, helping to speed up and enhance the use of linked data and realise the potential in linked data for data integration and discovery.
Towards the synergy of INSPIRE with eGovernment and OpenData in SlovakiaMartin Tuchyna
The document discusses INSPIRE achievements and alignment with eGovernment and OpenData initiatives in Slovakia. Key INSPIRE achievements include improved coordination, relevant legislation, activation of expert groups, and identification and documentation of spatial datasets. Alignment with eGovernment is driven by a focus on harmonized spatial data sharing. OpenData is improving government partnership through initiatives like the Open Government Partnership and national Open Data Portal. Moving forward, opportunities exist through consistent documentation, metadata exchange, and focus on high demand data, while challenges remain around reference data concept, interoperability, licensing, and integration of spatial and non-spatial data.
The document discusses the Helsinki Region Infoshare project which aims to make regional data openly available through a centralized web service. The project will develop guidelines for data owners to publish their information and build a portal for users to easily find, access, and use the data. An implementation timeline is provided, outlining pilot phases from 2010-2012 and ongoing operations after 2012. Motivations for open data initiatives and some example data types and applications are also summarized.
Collaboration for research enhancement by active metadataJisc
This document summarizes a research project called CREAM that aims to establish best practices for the active use of metadata in research. The project brings together partners from various universities and research institutions. CREAM will provide guidelines and examples to demonstrate how metadata can make research more effective, agile, and timely by enabling reuse, reproducibility, reinterpretation and validation of research data. It will characterize different tasks that actively use metadata and explore standards for metadata exchange.
The expanding role of metadata supporting modern statistical production proce...Tilastokeskus
The document discusses the expanding role of metadata in supporting modern statistical production processes. It notes that improved information management can provide reliable, up-to-date, easy to find, tailored, linked, and need-fulfilling information to customers. The document calls for metadata management to have a more strategic focus, for the Nordic community to help modernize statistics, and for metadata to be made more usable and interoperable according to common standards and guidelines.
Open source database as a service (with data publishing)Jisc
This document discusses an online research database service called ORDS that provides database-as-a-service capabilities for researchers. It was developed by the University of Oxford and OSS Watch and several other universities have expressed interest. The service aims to provide an easy to use database for non-technical researchers to collaborate and share their research data. It encourages good research data management practices and hopes to become a sustainable open source project used across institutions.
This document discusses research into structurally adopting open data practices within governmental organizations in the Netherlands. It describes two research programs conducted with the Province of South Holland and Municipality of The Hague. The research explored international and national open data developments and lessons learned from key expert interviews. It calls for standardized open data publication processes, supportive organizational culture and policy, and centralized coordination of legal and technical open data representatives to fully integrate open data practices.
General Introduction to the Oxford e-Research CentreDavid Wallom
Digital Oxford is a collaborative research hub that is transforming research through innovative digital methods. It focuses on key areas like data capture, curation, publication and standards to create technologies that disseminate and reuse research data. The hub works with various communities including curators, data producers, consumers, developers, researchers, and policy makers through its network of high performance computing, infrastructure, and communications systems.
Presentation on the FAIR data principles and how they relate to Science Gateways and software. Presented at a workshop prior to eResearch Australasia 16 October 2017
RAGLD - Rapid Assembly of Geo-Centred Linked Data ApplicationsJohn Goodwin
This talk will describe the RAGLD framework (Rapid Assembly of Geo-centred Linked Data) and examples will be given on how it can be used to make it easier to develop linked data applications.
As more linked data and open data emerges a need was identified to meet a rising demand for a suite of application developers’ tools to make it easier to bring together, use and exploit these diverse data sets. RAGLD aims to create a set of tools, components and services to make it easier to develop linked Data applications. This talk will describe the RAGLD framework and examples will be given on how it can be used.
EOSC Stakeholders Forum: For a FAIR Europe-What's Needed, What's ExistingEOSCpilot .eu
The EOSC faces as well technical, social and economic challenges on interoperability. These have to be overcome in order to provide an efficient EOSC architecture. Some solutions are in place in some domains, but these have to be expanded to the cross-disciplinary and/or international level. In this presentation, we discuss FAIR data sharing and current developments.
Researcher data management shared service for the UK – John Kaye, Jisc
Hydra - Tom Cramer, Stanford University and Chris Awre, University of Hull
Addressing the preservation gap at the University of York - Jenny Mitcham, University of York
Emulation developments - David Rosenthal, Stanford University
Jisc and CNI conference, 6 July 2016
This document summarizes an event about organizational identifiers (OrgIDs) for UK research. It discusses Jisc's role in supporting the UK research sector through shared digital infrastructure and services. It also outlines Jisc's work with CASRAI to pilot the use of OrgIDs and other research data standards through several working groups. One such working group examined key OrgID candidates and produced recommendations for a hybrid approach relying on ISNI as the backbone standard. The document provides context on related areas like funder reporting requirements and the need for better integration across research systems in the UK.
Jisc Research Data Discovery Service ProjectJisc RDM
This document summarizes the UK Research Data Discovery Service (UKRDDS) project run by Jisc from 2013-2016. The project had two phases: an initial pilot to evaluate options for a research data registry and a second phase to build a test service based on the CKAN platform. The project engaged universities and data centers to pilot the service and provide feedback. It focused on developing a core metadata schema and getting stakeholder input to define requirements and priorities through an advisory group structure. The timeline outlines milestones like prototyping the service, implementing pilots, and developing plans to transition the service to ongoing operations.
The Jisc Research Data Discovery Service Project aims to build a UK research data discovery service that enables discovery of UK research data and meets requirements. Phase 2 will build on previous pilot work to lay foundations for the future delivery of the service, including developing use cases, agreeing metadata standards, and creating a business case. The project team is working with participating universities and data centers to ingest metadata and gather feedback to develop an effective solution.
Research at risk: developing a shared research data management service for UK...Jisc RDM
Rachel Bruce presented on Jisc's plans to develop a shared research data management service for UK universities. The service aims to help universities meet research funder requirements for data management and sharing in a cost effective way. It will provide services such as storage, metadata, and tools to help with data discovery and reuse. Jisc conducted surveys that found universities wanted services for preservation, automation, integration, and reducing their IT burden. The shared service is being developed through 2017 based on requirements identified.
The webinar discussed Jisc's proposal for a Research Data Shared Service (RDSS) to address issues with research data management across UK higher education institutions. The RDSS would provide cost-effective solutions for depositing, describing, storing, publishing, and preserving research data through standardized technology and shared expertise. An alpha version was being piloted with 16 institutions and would include repository, preservation, and advisory services. The goal was to increase access to and reuse of research data while reducing costs and risks for institutions.
Towards an integrated UK national research data infrastructureJisc RDM
Jisc seminar at Science and Innovation 2016 conference.
Daniela Duca, Martin Hamilton, Fiona Murphy, Athanasios Velios.
Slides include: overview of Jisc, research data shared service, research data discovery service, giving researchers credit for their data and recording research data for artists.
Jisc Research Data Shared Service - Spring UpdateJisc RDM
This document provides an overview and update on Jisc's Research Data Shared Service. It discusses the vision, goals, and key requirements of creating a shared research data infrastructure. It also provides details on the supplier framework, consultant support, pilot engagements, and strategic view of the service. The service aims to make research data management easier for researchers and help institutions meet requirements in a cost-effective, interoperable manner.
20190527_Brecht Wyns & Christophe Bahim _ FAIR data maturity modelOpenAIRE
Presented by Brecht Wyns & Christophe Bahim (RDA)
during the OpenAIRE workshop "Research policy monitoring in the era of Open Science and Big Data" taking place in Ghent, Belgium on May 27th and 28th 2019
Day 1: Monitoring and Infrastructure for Open Science
https://www.openaire.eu/research-policy-monitoring-in-the-era-of-open-science-and-big-data-the-what-indicators-and-the-how-infrastructures
Jisc and HESA have partnered to provide business intelligence (BI) services to the higher education sector in the UK. Their BI journey began in 2010 with road testing an initial information kit. The presentation outlines a new multi-phase joint Jisc/HESA BI service offering concise and up-to-date analyses, visualizations, and dashboards based on existing HESA data. Future phases aim to explore additional non-HESA data sources and enable peer benchmarking between institutions. The goal is to promote sector maturity in BI and bring its benefits to more staff through training and a "sandpit" environment for experimentation.
The presentation will give an overview of MIG past activities (MIWP14
-
16) as well as new or on
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going
activities defined by the MIWP 2017
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2020 endorsed by MIG in December 2016.
Adding value through BI: a Jisc perspectiveJISC infoNet
Business intelligence (BI) refers to technologies used to analyze business data and make more informed decisions. Jisc aims to promote BI adoption and capabilities in UK higher education through several initiatives. Its BI service will provide analyses, visualizations, and dashboards based on HESA data, allow custom reporting, and explore integrating additional non-HESA datasets. The Library Analytics Project currently offers a beta shared analytics service using student data from various sources to identify at-risk students and enable benchmarking. Overall, Jisc seeks to improve decision-making through BI and actionable insights for students and stakeholders.
Similar to Research Data Shared Service - September 2016 Update (20)
Recent national and international mandates and reports seek to promote an open research infrastructure which facilitates easy access to knowledge and information for all. For example, The UK Open Research Data Task Force report, released in February 2019, recommends user-friendly services for research data management and infrastructure to maximise interoperability and discoverability.
Jisc has built the Open Research Hub (JORH), which integrates a repository, preservation, reporting and storage platform. This cloud-based service is a community governed, multi-tenant solution for universities and other research institutions to manage, store, preserve and share their published research data. Based on existing open standards, the service’s open and extensive data model incorporates best practice from across the sector, including DataCite, CrossRef, CERIF, Dublin Core and PREMIS.
While the Hub was built to address the needs of research data curation, its adoption of open, best practice standards means it has the potential to allow the service to handle a much wider range of digital research objects, including Open Access articles, theses and software. The data model, rich messaging layer and an open API facilitate interoperability with other institutional and scholarly communications systems. This provides the potential for the Hub to underpin infrastructure capable of meeting the requirements of an ever-evolving open research agenda.
This talk will introduce some of the key initiatives seeking to shape open research infrastructure and discuss how the Hub’s current and future development is directed towards facilitating open research best practice. Consideration will be given to how the Hub either meets or can meet recent recommendations such as FAIR, Plan S, ORDTF and the COAR’s Next Generation Repositories.
Jisc Research Data Shared Service Open Repositories 2018 PaperJisc RDM
The document discusses Jisc's plans to develop a national research data shared service in the UK. It provides context on open science policies and the need for research data management and preservation. It then summarizes Jisc's proposal to create a multi-tenant research repository with integrated preservation systems. This would provide a scalable, sustainable platform to help universities meet requirements for managing and preserving research outputs including data, software, and publications. The service is currently in development with pilots planned, and would offer repositories, preservation, or an end-to-end solution to members.
Jisc Research Data Shared Service Open Repositories 2018 24x7Jisc RDM
This document discusses the Jisc Research Data Shared Service (RDSS) and its priorities and developments. The RDSS aims to provide a scalable, sustainable, and intuitive shared research data service. It offers three standard service options - an end-to-end service, repository service, and preservation service. The RDSS is working on developing a multi-tenant research repository and integrating with other Jisc services to support the full research lifecycle from publication to preservation. Further developments include preservation action registries and a potential national shared research platform.
Jisc Research Data Shared Service - a Samvera case studyJisc RDM
As part of its Research Data Shared Service (RDSS), Jisc has been developing a repository component as part of its core architecture . Through making an integrated research data management platform available to UK Universities, there is a growing demand from small to medium HEIs for the RDSS to provide a single repository solution that fits their needs for publications and data with workflows for Open Access and REF submissions. To achieve this, the repository must be integrated with other Jisc Open Access services such as Sherpa, Jisc Monitor and Publications router, along with those provided by external stakeholders such as ORCID, Crossref, DataCite and OpenAIRE.
This presentation is a case study in evaluating Samvera for this role, and its suitability as a multi-tenanted, sustainable hybrid repository that is both attractive to researchers and universities and aligns with the broader international objectives of the community, the FAIR agenda and open science.
Building a national Data Repository System Integration Architecture OverviewJisc RDM
This document discusses publish-subscribe (pub-sub) messaging and how it was implemented for RDSS integration architecture. Pub-sub messaging uses asynchronous and decoupled integration mechanisms like files, databases or APIs to transmit messages. It outlines the lifecycle of a message and why pub-sub messaging provides benefits like operability, architectural compliance, and reliability. Finally, it provides references to the message specification, structure, transport and application behavior used for the pub-sub implementation.
The Jisc RDMToolkit document discusses the development of a Research Data Management (RDM) toolkit by Jisc and Research Consulting. It provides a sneak peek of the toolkit, which gathers over 100 RDM resources and arranges them using a research data lifecycle model. The toolkit is built on a WordPress template for easy editing and will be maintained by a working group. It will undergo a thorough review after three years.
Stories from the Field: Data are Messy and that's (kind of) okJisc RDM
This document introduces Jude Towers and David Ellis, who are lecturers focused on quantitative methods and computational social science. They discuss how data can be messy, including inconsistencies in concepts and definitions, difficulties in data collection, and the politics of data cleaning. They argue that while data is imperfect, it is still useful for understanding society when the signal is distinguished from the noise. They provide two examples of working with messy real-world data: administrative health records from the NHS and social science replication problems. Their overall goal is to help people critically engage with quantitative data.
'Making the case for a research data shared service' in the Measuring Success and Changing Culture session Presented during the National RDM Strategies session of the Göttingen-CODATA RDM Symposium 2018
Research Data Shared Service update at DPCJisc RDM
The document discusses the Jisc Research Data Shared Service (RDSS) and its role in coordinating the preservation and sharing of research data. RDSS aims to provide core functionality for researchers to deposit, describe, store, publish, and ensure the integrity of their research data. It will also offer advice and best practices for research data management. The service coordinates efforts across universities and involves partnerships with other organizations to develop shared technology solutions for preserving UK research outputs.
Managing data behind creative masterpiecesJisc RDM
The document discusses research data in creative fields and Jisc's Research Data Shared Service (RDSS) to help manage such data. RDSS aims to enable open science through efficient capture, preservation and reuse of research data. It will provide core functions like deposit, description, storage, publication and preservation of data, as well as reporting and advisory services. RDSS addresses key issues in research data management to help reduce costs and risks for researchers and institutions.
This document provides an agenda for a lightning talks session taking place on June 27th, 2017. It lists 8 presenters, their institutions, and the titles of their short presentations. Topics will include the role of archivists in research data management, the HYDRA and SAMVERA platforms, open research at the University of Leeds, the THOR project, shared data center services, monitoring institutional compliance with RDM policy, and understanding what constitutes research data. The document also provides contact information for the session organizer.
Title: Monitoring institutional compliance with RDM policy
database that is used by the team to monitor compliance.
Research Data Network
University of Strathclyde
This document discusses how Hydra, an open source repository system, is now called Samvera. Samvera means "togetherness" in Icelandic and reinforces the community developing repository solutions by working together based on common components and solutions. While the underlying names like Hyrax, Hyku and Avalon remain the same, Hydra is now known as Samvera to emphasize collaboration within the community developing repository solutions.
This document describes Spotlight Data, a company that uses text mining, machine learning, and data visualization to help with research data management. It introduces key members of Spotlight Data's team and describes some of their current projects, including work with the UK government and Durham University applying text mining and machine learning to large datasets. It also provides an overview of Spotlight Data's Nanowire system for ingesting, processing, and analyzing both structured and unstructured data at scale using a microservices architecture.
1. Metrics are being developed to track downloads and reuse of research data to understand impact and reassure researchers. A new service called IRUS for Data will provide metrics for data repositories across different platforms.
2. There is debate around what data citations mean and how they should be used and understood. Projects are working to develop best practices and encourage responsible use of citation metrics for data.
3. Ensuring research data sharing is recognized in existing systems like journal policies is challenging due to lack of standards. Initiatives are working with publishers and repositories to develop guidance and implement principles for data citation.
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
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5. Pilot Shared Service Scope
5
Credit for Architecture concepts: John Lewis (Sheffield) & Stuart Lewis (Edinburgh) http://dx.doi.org/10.6084/m9.figshare.1202230
Pilot Shared ServiceArea Other R@RWork Areas Existing Jisc Services/AgreementAreas
Sep 2016
7. Research Data Shared ServiceTimeline
Sep 2016 7
Milestones 2015-18
Apr 2015-Dec 2015 Jan 2016 – Oct 2016 Oct-2016 -June 2017 Jul 2017-Sept 2017 Oct 2017-Apr 2018
-Requirements
- HEI Pilots
Selected
-Procurement
commences
- Support
consultancy
work begins
-Supplier
Framework
selected
-Alpha
Development
-Alpha service
tested and
reviewed
-Beta
Development
-Feedback on
Beta Service
- Business case
decision
-If go then begin
transition to
production service
-Institutional
survey
-HEI and supplier
workshops
-Pilot HEI
selection process
-Detailed HEI
requirements and
technical
architecture
-Contracting
commences
-Development
Phase
-Contact additional
early adopter HEI’s
and promote Beta
Service
-Business planning
and Begin Business
Case
-Market Research
and Consultation
-Promote service to
institutions
-Start on next
phases (service
enhancement/mod
ular)
8. Where are we now?
8
Sep 2016
Current activity
15. Thank you!
Except where otherwise noted, this
work is licensed under CC-BY-NC-ND
Sep 2016 15
Editor's Notes
There is no “solution” easily available and that meets requirements for Universities to enable Research Data Management
More effective Research Data Management must happen to comply with Funder Mandates, ensure data is not lost, and to realise a whole range of positive benefits
A shared service (provided by Jisc) offers a number of benefits
Cost savings and efficiencies
Common approaches and practice
Research system standardisation and interoperability
Address gaps in the market
Others might be found as we develop
Vision
Researchers shouldn’t need to think (too much!) about Research Data Management
"Visible data, invisible infrastructure"
Provide researchers intuitive, easy functionality to publish, archive and preserve their research outputs.
Provide interoperable systems to allow researchers and institutions to fulfil and go beyond policy requirements and adhere to best practice throughout the RDM lifecycle.
Goals
RDM Policy compliance
Increased sector efficiencies: procurement, data re-use, interoperability opportunities
Improving the integrity of research
Addressing Market Gaps: Integrated RDM system, Preservation Gap, Usability
Accelerating Research Data Management in institutions
Supporting institutions meet Open Access/REF
PreservationThis is the big GAP – many institutions are only now starting to address this need, in particular the question of what to keep (and what not to keep) and how log to keep things for.
While there are solutions like Arkivum there is a gap in terms of curating for preservation – tools that allow file format identification, metadata and the creation of archival information packages – data integrity and even emulation.
There is also a lack of:
true integration from data creation through to long term preservation
interoperability across systems
consistent UX across systems
Scope
The scope for the pilot is that of an institutional data repository taking deposits of data from the point of publication, to the preservation, access and storage of data with interoperability to systems outside.
Jisc has services and agreements in other related areas (e.g. Active data storage, Supporting DMP’s, Identifiers through ORCID, Discovery through the UK research data discovery service, usage statistics, and national data services) connections to which will be integrated into the pilot system.
Through the pilot we also hope to test and develop integrations and joins with Jisc shared data centres and Jisc open access services where feasible and applicable.
Interoperability
Interoperability with systems can provide opportunities for efficiencies and ease of use for researchers. In many ways the integration with other existing systems is the key USP for many potential stakeholders.
The diagram above shows the 3 key underpinning platforms - repository, preservation and reporting - and the key connections to other systems and services.
Status
The pilots have been identified and appointed
The Initial requirements gathering is complete
Data Asset Frameworks (DAFs) have been completed/updated and analysed
The Metadata approach has been identified and a draft data model developed - https://github.com/jiscresearch/sharedService
Baseline costing is underway
Suppliers appointed
The initial Technical Architecture and Delivery Proposals report has been published - https://goo.gl/tZISrz
Feeds into the tech requirements of the Platform Statement of Requirements
Feeds into the specifying of integrations between platforms (both those on the Jisc framework and those that are not) that need to be developed
Will result in detailed tech architecture.
‘University of Jisc’ commissioned
Detailed requirements with all of the pilots undertaken and the MVP for the service alpha almost finalised
Pilots
The Pilots have been selected to cover a range of use cases – from green field, to mature provision requiring only single components – and a range of sizes – from small and specialist, through research intensive, to large colligate institutions.
Cardiff University
CREST - Consortium for Research Excellence, Support and Training (Harper Adams, St Mary’s -Twickenham, UCA & Winchester)
Imperial College of Science, Technology and Medicine
Middlesex University
Plymouth University
Royal College of Music
St George's Hospital Medical School
University of Cambridge
University of Lancaster
University of Lincoln
University of St Andrews
University of Surrey
University of York
Pilot Minimum Viable Product needs (based upon information gathered during visits to the pilot institutions which are currently being firmed up with the technical architect and HEI pilots)
Early initial views of what the MVP should cover included:
“Easy to use and cost effective archiving, ingest, preservation, repository, reporting and discovery supported that can handle sensitive data”
“Robust data storage that has growth ability for active and archive data”
“Standard metadata profile - international for interoperability”
“Integration with all main CRIS systems and PURE”
“Meets REF and funder deposit requirements (supports deposit of REF data output types)”
……EVERYTHING
As mentioned above this is now being refined and is almost finalised.
Lots
(figures in brackets show the number of suppliers in that lot)
Lot 1 - Research Data Repositories (4)
Lot 2- Repository Interfaces (6)
Lot 3 - Research Data Exchange Interface (3)
Lot 4 - Research Information and Administration Systems Integrations (1)
Lot 5 -Research Data Preservation Platforms (2)
Lot 6 - Research Data Preservation tools development (2)
Lot 7 - Research Data Reporting (2)
Lot 8 - User Experience enhancements (4)
Underlined are the platform lots, which are existing products that can be installed straight after contracting, the other lots are development lots to provide interoperability, usability and suitability for RDM
Suppliers
Arkivum
Connexica
discoverygarden
Figshare
Haplo
Ken Chad
magneticNorth
Ocasta
Preservica
Sero
Symplectic
University of Edinburgh
University of London Computer Centre
Platforms
Lot 1 - Research Data Repositories (4)
Discoverygarden – Islandora (open source, based on Fedora)
Figshare (proprietary, hosted)
Haplo (based on RIM system used at Westminster, open source)
Sero - Hydra (open source, based on Fedora)
Lot 5 -Research Data Preservation Platforms (2)
Arkivum – Archivematica (open source preservation platform)
Preservica – (propreitary, hosted or licenced)
Lot 7 - Research Data Reporting (2)
Connexica – CXAIR (proprietary, hosted)
Sero – Edges (Also used by Jisc Monitor)
There are some consultants also working with us, these include Research Consulting who worked on the data asset framework with the pilots, and Clax who are working with Dom Fripp at Jisc on the metadata approach and data model Clax are undertaking the consultation with researchers to ensure their needs are taken into account with regards to this aspect.
University of Jisc
This is a test environment (for most products) hosted on Jisc servers that will allow
Installation of platform products
The testing products with dummy (real) data
Developers to start integration work and bespoke development prior to institutional alpha deployment
A Jisc technical team – including devops and a technical integration developer - is being put in place to oversea the operation of the platform.
The environment will include installations of
Platform products
Other commonly used research systems:
Eprints
Dspace
Authentication
Arkivum Virtual Machines
Others
We will also be using it to investigate CRIS installations and other systems
It will also function as an environment where suppliers and Jisc can test their products against common systems, use cases and integrations
The MVPs based on the institutional requirements will be on boarding soon.
Links
The project is making links between the rest of the Research at Risk portfolio, many of which are feeding outputs into the pilot, or associated guidance.
Of particular interest are:
Business case and costing for research data management
Research data spring – projects including preservation developments, data papers etc.
Research data metadata
Research data metrics for usage
UK research data discovery
Funder policy guidance
Expert Advisory Group Membership
Peter Tinson (Chair) - Executive Director - UCISA
Andy Turner - Researcher, School of Geography - University of Leeds
Chris Awre - Head of Information Management - University of Hull
Daniel Hanlon - Research Data Storage Architect - University College London
Dave Golding - Enterprise Architect - University of Leeds
Jenny Evans - Research Information Manager - Middlesex University
Jenny Mitcham - Digital Archivist - University of York
Jez Cope - Data Manager – University of Sheffiledl
John Kaye - Senior Co-Design Manager - Jisc
Jonathan Rans - Institutional Support Officer - Digital Curation Centre
Kathleen Shearer - Executive Director - Confederation of Open Access Repositories (COAR) (Canada)
Masud Kokhar - Head of Digital Innovation - Lancaster University
Paul Wheatley - Head of Research & Practice - Digital Preservation Coalition
Rachel Bruce - Deputy Director of Innovation - Jisc
Robin Green - Director of Library Services - Warwick University (SCONUL)
Steve Crouch - Software Architect and Research Software Group (RSG) Lead - Software Sustainability Institute
Stuart Lewis - Deputy Director Library & University Collections - University of Edinburgh
Tim DiLauro - Digital Library Architect & Sr Technical Consultant - John Hopkins University (USA)
Valerie McCutcheon - Research Information Manager - University of Glasgow (ARMA)
Core Team
Rachel Bruce – Deputy Chief Innovation Officer
Catherine Grout – Head of Change – Research
John Kaye – Senior Co-Design Manager
Paul Stokes– Senior Co-Design Manager
Daniela Duca - Senior Co-Design Manager
Dom Fripp - Senior Curation Metadata Developer
Nikki Browne – Project Manager
[Jisc Technical Dev Ops and Dev Integrators are being put in place]
Core Team Plus
As above plus developers
Research at Risk Oversight Group
Barry Haynes
Caroline Taylor
Catherine Grout
David Prosser
Heidi Taylor-Krauss
John MacColl
John Shemilt
Kitty Inglis
Peter Tinson
Rachel BruceRay Kent
Simon Kerridge
Blog
https://researchdata.jiscinvolve.org/wp/
Research Data Network
http://researchdata.networkThe research data network is a people network for anyone interested in Research Data Management. Although it was born from the interest surrounding the shared service, that’s just the starting point. The network holds regular events – to date there have been two (in Cardiff and Cambridge) with two more planned for the end of the year and spring next year.
Research @ Risk
https://www.jisc.ac.uk/rd/projects/research-at-risk
Shared Service Web page
https://www.jisc.ac.uk/rd/projects/research-data-shared-service