Presentation on developing DMP services at the University of Edinburgh. It outlines progress on the DMP objectives in the Edinburgh RDM roadmap and covers the findings from evaluating DMPonline. The talk was given at a HEIDS meeting in Edinburgh on 22nd April 2013.
The University of Edinburgh has over 33,000 students and 9,000 staff across three colleges covering a broad range of research disciplines. 83% of the University's research is rated as world-leading or internationally excellent. The University has prioritized data science and launched Edinburgh Data Science in 2014. It provides core research data management infrastructure to support good research practices. This includes training, policies, online data management planning tools, storage infrastructure, and repositories for active data use and long-term archiving. Challenges include promoting cultural change and integrating multiple research data services as needs evolve rapidly.
Presentation by Sally Rumsey of the University of Oxford. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
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.
Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
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.
Lorraine Beard RDM at the University of ManchesterJisc
The University of Manchester has established a Research Data Management service and policy to support researchers in managing their research data. The RDM service was launched in 2011 and is a collaboration between the University Library and IT Services. It aims to provide guidance, tools, and infrastructure to help researchers comply with funder data sharing requirements and best practices for data management, storage, and preservation. Key challenges for the future include developing metadata standards, tools for data sharing and publishing, coordinating expertise across departments, and adapting to a changing research environment and funder landscape.
Presentation by Jeremy Barraud & Jess Crilly of University of the Arts London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Presentation on developing DMP services at the University of Edinburgh. It outlines progress on the DMP objectives in the Edinburgh RDM roadmap and covers the findings from evaluating DMPonline. The talk was given at a HEIDS meeting in Edinburgh on 22nd April 2013.
The University of Edinburgh has over 33,000 students and 9,000 staff across three colleges covering a broad range of research disciplines. 83% of the University's research is rated as world-leading or internationally excellent. The University has prioritized data science and launched Edinburgh Data Science in 2014. It provides core research data management infrastructure to support good research practices. This includes training, policies, online data management planning tools, storage infrastructure, and repositories for active data use and long-term archiving. Challenges include promoting cultural change and integrating multiple research data services as needs evolve rapidly.
Presentation by Sally Rumsey of the University of Oxford. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
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.
Presentation by Gareth Knight of the London School of Hygiene & Tropical Medicine. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
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.
Lorraine Beard RDM at the University of ManchesterJisc
The University of Manchester has established a Research Data Management service and policy to support researchers in managing their research data. The RDM service was launched in 2011 and is a collaboration between the University Library and IT Services. It aims to provide guidance, tools, and infrastructure to help researchers comply with funder data sharing requirements and best practices for data management, storage, and preservation. Key challenges for the future include developing metadata standards, tools for data sharing and publishing, coordinating expertise across departments, and adapting to a changing research environment and funder landscape.
Presentation by Jeremy Barraud & Jess Crilly of University of the Arts London. It was presented at the LSHTM Research Data Services workshop on June 30th 2015, an event organised to mark the end of LSHTM's Wellcome Trust funded RDM project.
Sarah Jones RDM from a disciplinary perspectiveJisc
This document discusses research data management from a disciplinary perspective. It begins with an overview of case studies on disciplinary practice from various sources. It then groups disciplines into Arts & Humanities, Social Sciences, Sciences & Engineering, and Life Sciences. For each group, it discusses common practices, challenges, and examples. It also discusses a research data typology commissioned by RLUK to help librarians understand researchers' data needs and types of data across disciplines. Overall, the document provides a high-level overview of differences in research data management practices across broad disciplinary categories.
Research Data Management: Approaches to Institutional PolicyRobin Rice
This document summarizes research data management policies from several universities. It discusses the purpose statements, tones, roles and responsibilities outlined in the policies of universities in the UK, Australia, and US. The University of Edinburgh policy takes a partnership approach, sharing responsibilities between the university and researchers. It aims to support research excellence through managing data to high standards across the research lifecycle.
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 describes a "DIY" research data management training kit for librarians created by Stuart Macdonald. The kit was designed to train librarians to support their institution's research data management needs. It includes open educational materials that guide librarians through topics like data management planning, storage, and sharing. The training involves self-paced reading, reflective writing, and group exercises. The goal is to empower librarians to learn RDM skills and help researchers comply with their university's new RDM policy.
Mike Mertens Directions for RDM day one summaryJisc
This document discusses directions for research data management in UK universities. It focuses on the business case and sustainability for implementing research data management plans and services. Key points include identifying the need, risks of not having plans, staffing and storage costs, advocacy efforts, and long-term preservation strategies. The document also discusses incentives for researchers to properly manage data, such as reward structures, compliance monitoring, opportunities for data publication and citation, integration of support systems, and aligning job descriptions with open data practices. Overall it provides guidance on justifying research data management programs through identifying institutional needs and risks, accounting for costs and scalability, and incentivizing researcher participation.
Martin Lewis and Stephen Pinfield Research Data Management - where should col...Jisc
This document discusses where collaboration on research data management (RDM) should occur. It describes potential spaces for RDM collaboration at the interplanetary, international, national, regional, and institutional levels. At the institutional level, the key components of an RDM program are identified as strategies, policies, guidelines, processes, technologies, and services. Drivers for RDM, influencing factors, and stakeholders are also discussed. Challenges to collaboration mentioned include developing a shared national vision to avoid a divided support system, and overcoming territorial and identity issues within institutions.
Advocacy in Research Data Management. Session 3.2 of the RDMRose v3 materials.
The JISC funded RDMRose project (June 2012-May 2013) was a collaboration between the libraries of the University of Leeds, Sheffield and York, with the Information School at Sheffield to provide an Open Educational Resource for information professionals on Research Data Management. The materials were revised between November 2014 and February 2015 for the consortium of North West Academic Libraries (NoWAL).
http://www.sheffield.ac.uk/is/research/projects/rdmrose
Rachel Bruce UK research and data management where are we nowJisc
The document discusses the state of research data management in UK universities. It finds that while areas like data cataloguing and access/storage systems are progressing, governance of data access/reuse and digital preservation/planning are lagging. Barriers to progress include low researcher priority, funding availability, and lack of staff/infrastructure. Gaps include defining responsibilities, standards, costs, and tools. Coordination and sharing resources across institutions is needed to help universities advance research data management.
Meeting the RDM challenge - exercise - Jisc Digital Festival 2014Jisc
The document discusses research data management (RDM) challenges and components needed for research data services. It notes that libraries are primarily responsible for providing support and leadership, while research offices and IT departments also play roles. The Digital Curation Centre (DCC) aims to build RDM capacity and skills across UK higher education through needs assessments, policy development, guidance, training, and advocacy to support institutions in implementing RDM.
The UK federation is the largest education and research access management federation in the world, with over 890 member institutions and 1330 registered entities. It is funded by JISC and provides free membership and entity registration to higher and further education institutions and service providers. The McShib team maintains the federation infrastructure, provides support for configuration, software updates, and technical issues, and is working on initiatives like preparing for Shibboleth 3 and increasing interoperability.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
The document describes a vision for the future of research in 2020 and 2030. By 2020, research is increasingly global and interdisciplinary, with open access the default. Peer review remains important but is supplemented by new methods. Openness and collaboration are recognized as critical. By 2030, digital technologies complement researchers and process vast amounts of data. Discovery tools understand relationships between datasets. Researchers pose questions to digital assistants which mine information to provide answers.
UK Research Data Management: overview to ADBU congress, 19 Sep 2013 by Laura ...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ABDU congress, 19 Sep 2013 in Le Havre.
Opening up data: a UK perspective – Jisc and CNI conference 10 July 2014Jisc
This document summarizes Kevin Ashley's presentation on opening up research data from a UK perspective. The presentation discusses the policy background around open data in the UK, developments in infrastructure to support open data, and costs associated with making data openly available. It also notes that fully realizing the benefits of open data will require international cooperation across organizations like the Digital Curation Centre.
This document discusses engaging researchers in research data management (RDM) through data reference interviews. It provides an overview of EDINA and the University of Edinburgh Data Library and their roles in assisting researchers. It then describes the data reference interview process, highlighting the importance of understanding the researcher's field and data. Recommendations are provided for interviewing researchers and tools for assessing data are introduced. The document concludes by discussing the University's RDM strategy and engagement tools.
The document discusses a leaders conference on UK data management environments and support. It provides information on the current UK research data management policy environment, systems used, and challenges. It introduces Jisc's proposed Research Data Shared Service as a sector-wide approach to address these issues by providing a single, integrated solution for research data management across the UK. Key benefits identified include optimizing costs, growing the value of research data, and increasing compliance with funder requirements for data preservation and sharing. The development history and features of the proposed shared service are outlined.
Presentation given by Sarah Jones at the DCC data management roadshow in London on 21-22 May 2012
http://www.dcc.ac.uk/events/data-management-roadshows/dcc-roadshow-london
Sarah Jones RDM from a disciplinary perspectiveJisc
This document discusses research data management from a disciplinary perspective. It begins with an overview of case studies on disciplinary practice from various sources. It then groups disciplines into Arts & Humanities, Social Sciences, Sciences & Engineering, and Life Sciences. For each group, it discusses common practices, challenges, and examples. It also discusses a research data typology commissioned by RLUK to help librarians understand researchers' data needs and types of data across disciplines. Overall, the document provides a high-level overview of differences in research data management practices across broad disciplinary categories.
Research Data Management: Approaches to Institutional PolicyRobin Rice
This document summarizes research data management policies from several universities. It discusses the purpose statements, tones, roles and responsibilities outlined in the policies of universities in the UK, Australia, and US. The University of Edinburgh policy takes a partnership approach, sharing responsibilities between the university and researchers. It aims to support research excellence through managing data to high standards across the research lifecycle.
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 describes a "DIY" research data management training kit for librarians created by Stuart Macdonald. The kit was designed to train librarians to support their institution's research data management needs. It includes open educational materials that guide librarians through topics like data management planning, storage, and sharing. The training involves self-paced reading, reflective writing, and group exercises. The goal is to empower librarians to learn RDM skills and help researchers comply with their university's new RDM policy.
Mike Mertens Directions for RDM day one summaryJisc
This document discusses directions for research data management in UK universities. It focuses on the business case and sustainability for implementing research data management plans and services. Key points include identifying the need, risks of not having plans, staffing and storage costs, advocacy efforts, and long-term preservation strategies. The document also discusses incentives for researchers to properly manage data, such as reward structures, compliance monitoring, opportunities for data publication and citation, integration of support systems, and aligning job descriptions with open data practices. Overall it provides guidance on justifying research data management programs through identifying institutional needs and risks, accounting for costs and scalability, and incentivizing researcher participation.
Martin Lewis and Stephen Pinfield Research Data Management - where should col...Jisc
This document discusses where collaboration on research data management (RDM) should occur. It describes potential spaces for RDM collaboration at the interplanetary, international, national, regional, and institutional levels. At the institutional level, the key components of an RDM program are identified as strategies, policies, guidelines, processes, technologies, and services. Drivers for RDM, influencing factors, and stakeholders are also discussed. Challenges to collaboration mentioned include developing a shared national vision to avoid a divided support system, and overcoming territorial and identity issues within institutions.
Advocacy in Research Data Management. Session 3.2 of the RDMRose v3 materials.
The JISC funded RDMRose project (June 2012-May 2013) was a collaboration between the libraries of the University of Leeds, Sheffield and York, with the Information School at Sheffield to provide an Open Educational Resource for information professionals on Research Data Management. The materials were revised between November 2014 and February 2015 for the consortium of North West Academic Libraries (NoWAL).
http://www.sheffield.ac.uk/is/research/projects/rdmrose
Rachel Bruce UK research and data management where are we nowJisc
The document discusses the state of research data management in UK universities. It finds that while areas like data cataloguing and access/storage systems are progressing, governance of data access/reuse and digital preservation/planning are lagging. Barriers to progress include low researcher priority, funding availability, and lack of staff/infrastructure. Gaps include defining responsibilities, standards, costs, and tools. Coordination and sharing resources across institutions is needed to help universities advance research data management.
Meeting the RDM challenge - exercise - Jisc Digital Festival 2014Jisc
The document discusses research data management (RDM) challenges and components needed for research data services. It notes that libraries are primarily responsible for providing support and leadership, while research offices and IT departments also play roles. The Digital Curation Centre (DCC) aims to build RDM capacity and skills across UK higher education through needs assessments, policy development, guidance, training, and advocacy to support institutions in implementing RDM.
The UK federation is the largest education and research access management federation in the world, with over 890 member institutions and 1330 registered entities. It is funded by JISC and provides free membership and entity registration to higher and further education institutions and service providers. The McShib team maintains the federation infrastructure, provides support for configuration, software updates, and technical issues, and is working on initiatives like preparing for Shibboleth 3 and increasing interoperability.
Research Data Management Initiatives at the University of EdinburghRobin Rice
This paper will discuss the issues involved in exploring university obligations in the area of research data management, while conveying the current state of progress at one institution, Edinburgh. The issues are fairly static – from data ownership and rights to retention and sustainability – but the solutions are a moving target as the research environment and its technologies continue to change, subtly altering what is perceived as possible, feasible, and desirable. The planned University of Edinburgh approach to research data storage and management will be outlined.
The document describes a vision for the future of research in 2020 and 2030. By 2020, research is increasingly global and interdisciplinary, with open access the default. Peer review remains important but is supplemented by new methods. Openness and collaboration are recognized as critical. By 2030, digital technologies complement researchers and process vast amounts of data. Discovery tools understand relationships between datasets. Researchers pose questions to digital assistants which mine information to provide answers.
UK Research Data Management: overview to ADBU congress, 19 Sep 2013 by Laura ...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ABDU congress, 19 Sep 2013 in Le Havre.
Opening up data: a UK perspective – Jisc and CNI conference 10 July 2014Jisc
This document summarizes Kevin Ashley's presentation on opening up research data from a UK perspective. The presentation discusses the policy background around open data in the UK, developments in infrastructure to support open data, and costs associated with making data openly available. It also notes that fully realizing the benefits of open data will require international cooperation across organizations like the Digital Curation Centre.
This document discusses engaging researchers in research data management (RDM) through data reference interviews. It provides an overview of EDINA and the University of Edinburgh Data Library and their roles in assisting researchers. It then describes the data reference interview process, highlighting the importance of understanding the researcher's field and data. Recommendations are provided for interviewing researchers and tools for assessing data are introduced. The document concludes by discussing the University's RDM strategy and engagement tools.
The document discusses a leaders conference on UK data management environments and support. It provides information on the current UK research data management policy environment, systems used, and challenges. It introduces Jisc's proposed Research Data Shared Service as a sector-wide approach to address these issues by providing a single, integrated solution for research data management across the UK. Key benefits identified include optimizing costs, growing the value of research data, and increasing compliance with funder requirements for data preservation and sharing. The development history and features of the proposed shared service are outlined.
Presentation given by Sarah Jones at the DCC data management roadshow in London on 21-22 May 2012
http://www.dcc.ac.uk/events/data-management-roadshows/dcc-roadshow-london
Developing research data management policy & servicesSarah Jones
Slides updated for presentation at DCC Northeast roadshow in Newcastle, April 2012.
Session ends with an exercise on developing a roadmap for research data management.
Presentation initially given by Sarah Jones at the DCC roadshow in Loughborough, February 2012.
See event details at: http://www.dcc.ac.uk/events/data-management-roadshows/dcc-roadshow-loughborough
The Digital Curation Centre (DCC) provides services to help organizations develop their research data management strategies and practices. The DCC assesses needs, provides advocacy support, pilots tools, develops guidance and training, and assists with creating customized data management plans and policies. It offers resources like data audits, data management planning tools, risk assessment methods, and training courses. The DCC works with institutions to help strengthen their research data management capabilities.
This document provides guidance on developing research data management services at universities. It discusses 10 key steps: 1) Understanding current practices, 2) Deciding what services are needed, 3) Balancing the needs of stakeholders, 4) Securing input and buy-in, 5) Defining roles and responsibilities, 6) Positioning support appropriately, 7) Balancing internal and external provision, 8) Being agile and adaptable to change, 9) Linking systems to integrate services, and 10) Planning for long-term sustainability. The overall message is that developing effective RDM requires understanding user needs, engaging stakeholders, and continually adapting services.
Challenges for research support - Sarah Jones, University of Glasgow, Digital...Mari Tinnemans
This document provides guidance on developing research data management services at universities. It discusses 10 key points: 1) Understanding current research data practices, 2) Deciding what services are needed, 3) Balancing the needs of stakeholders, 4) Securing input and buy-in, 5) Defining roles and responsibilities, 6) Positioning support appropriately, 7) Balancing internal and external provision, 8) Being agile and adaptable to change, 9) Linking systems to integrate services, and 10) Planning for long-term sustainability. The overall message is that developing effective RDM requires understanding user needs, engaging stakeholders, and continually adapting services.
This presentation discusses the importance of developing a data management plan (DMP) when conducting research. A DMP is a brief document written at the start of a research project that outlines how research data will be collected, documented, shared, and preserved. It addresses issues such as data formats, metadata, ethics, and long-term storage. Developing a DMP helps researchers manage their data effectively and address funder requirements for data sharing and archiving. The presentation provides examples and guidance on the key components of a DMP and resources for creating DMPs according to different funder templates.
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.
Facing the data challenge: Developing data policy and servicesMarieke Guy
This document discusses developing research data management policies and services. It outlines that many stakeholders, including funders, researchers, and data centers, are responsible for research data management. It describes the typical components of a research data service, including tools, support staff, metadata, storage, and policies. The document provides examples of research data storage and archiving services from various universities. It discusses developing guidance, training, and disciplinary resources for research data management. The document emphasizes the importance of research data management policies and roadmaps to align with funder expectations and provides suggestions for developing plans.
This document provides an introduction to research data management for geoscience PhD students. It defines research data and different data types. It discusses the importance of managing data throughout its lifecycle for efficient and valid research. It outlines funder requirements, university policies, and activities involved in good research data management like data planning, documentation, storage, sharing and preservation.
What are other universities doing to support RDM?Sarah Jones
This document discusses research data management (RDM) activities at other universities. It outlines common RDM activities such as establishing steering groups, developing policy and strategy, and delivering training. It provides examples of specific RDM initiatives at universities, including RDM services at the University of Bath and research data storage at the University of Bristol. The document emphasizes that developing comprehensive RDM services requires involvement from various stakeholders and support services across the university.
Research Data Management Programme in EdinburghDCC-info
Presentation by Stuart Macdonald at DCC-Arkivum event 'Data Storage & Preservation Strategies for Research Data Management' at University of Edinburgh 27 October 2014
Keynote presentation given at the Data Fellows 2023 workshop in Berlin on 22-23 June. Presentation gives examples of good communication to explain data management concepts and how to use games and other forms of interactivity in training events
Managing and sharing data: lessons from the European contextSarah Jones
The document discusses a presentation given by Sarah Jones on managing and sharing data openly in the European context. The presentation covered topics such as research data management (RDM), FAIR data principles, open science, the European Open Science Cloud (EOSC), and how universities can support researchers in practicing open science. It provided overviews and definitions of these topics, discussed challenges to open data sharing, and offered practical advice on making data FAIR and open through activities like choosing a license, selecting a repository, and using appropriate file formats and metadata standards.
The EOSC Association conducted a survey to gather feedback on their Multi-Annual Roadmap (MAR) and received 45 completed responses with 191 partial responses. The main themes from the 534 comments included needing more clarity on terminology, emphasizing national investment roles, and greater focus on business models and funding research software engineers. Minor comments requested removing organization examples, clarifying the voluntary nature of EOSC, and reconsidering visual identity. The analysis will be shared with the board and task forces to inform revisions to the MAR text for republication in mid-May.
The document provides an introduction to open science and the European Open Science Cloud (EOSC). It discusses the concepts of open access, open data, open methods, and FAIR data principles. It describes the EOSC as a federation of research infrastructures and services that aims to enable multidisciplinary discovery and use. Key benefits of the EOSC for researchers include access to more services, funding for compute resources, easier discovery of related data, and greater collaboration abilities.
The document summarizes the results of a consultation on the Multi-Annual Roadmap (MAR) for the European Open Science Cloud (EOSC). Over 45 people completed the survey and provided over 500 comments total. The comments covered priorities like engaging researchers, long-term data preservation, standards, and funding. The feedback will be used to update the MAR and align it with the upcoming Horizon Europe work program before publishing a new version in April.
The document provides an introduction to the European Open Science Cloud (EOSC). It defines key concepts like open science, FAIR data, and explains what EOSC is - a federated infrastructure to support open sharing and reuse of research outputs across disciplines. It outlines EOSC's goals like enabling multidisciplinary discovery and connecting previously disconnected research resources and data silos. Examples of current EOSC services and resources available via the EOSC Portal are also briefly described.
This document discusses the challenges facing the European Open Science Cloud (EOSC) and identifies actions that could help address those challenges. Some of the top challenges mentioned are that EOSC is still in the build phase and not yet functioning seamlessly for end users, it is extremely complex due to its multi-stakeholder, multi-country, and multi-disciplinary nature, and its governance was only recently established while its formation occurred organically through projects. Key priority actions identified include extensive testing and iteration based on user feedback, releasing small functionalities incrementally, continuing collaborative and consensus-driven work, and establishing an effective stakeholder forum. The document advocates for putting research community needs at the center and having the EOSC Association and
This document discusses the FAIR data principles and increasing adoption of FAIR. It begins by explaining the 15 FAIR principles for findable, accessible, interoperable and reusable data. It then discusses how adoption is increasing through funder requirements, the role of FAIR within EOSC, and related projects. However, it notes that most data is still not managed or shared according to FAIR principles due to barriers like time and effort required as well as lack of incentives and rewards. The document argues that both cultural and technical aspects must be addressed to fully implement FAIR.
Data Management Planning for researchersSarah Jones
This document provides information about creating a data management plan (DMP) for researchers. It begins with defining what a DMP is - a short plan that outlines what data will be created, how it will be managed and stored, and plans for sharing and preservation. It then discusses the common components of a DMP, including describing the data, standards and methodologies, ethics and intellectual property, data sharing plans, and preservation strategies. The document provides examples of DMP requirements and recommendations from funders. It offers tips for creating a good DMP, including thinking about the needs of future data re-users, consulting stakeholders, grounding plans in reality, and planning for sharing from the outset. Finally, it discusses tools and resources
1) Europe has invested hugely in the European Open Science Cloud (EOSC) over recent years through various initiatives, reports, and projects.
2) EOSC aims to create a federated environment for open sharing and analysis of research data across borders and disciplines.
3) Sharing sensitive data on EOSC requires properly documenting, licensing, identifying, and anonymizing data while making it findable and accessible on repositories or secure services.
Presentation given at the DMPonline 10 year anniversary week, reflecting on lessons learned developing the business model. See https://www.dcc.ac.uk/events/dmponline-10th-year-anniversary-celebration-week and #10yearsDMPonline
This document discusses best practices for supporting open science. It recommends adopting existing solutions where possible rather than developing new ones. It also suggests engaging with researchers, incentivizing open practices, allowing for innovation and failure, collaborating with peers, and keeping service delivery options open. The document concludes by inviting attendees to a workshop on delivering research data management services.
This document provides an overview of new features and updates to the DMPTuuli data management planning tool. Key points include: improvements to the user interface and sharing options; integration with ORCID and adding grant IDs; enhanced admin controls and template versioning; offering feedback on plans; and a usage dashboard and API improvements. Future planned features are also outlined such as conditional questions, custom domains, and integrations. Support resources and ways to connect with the developer are highlighted.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
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Meetup Page : https://www.meetup.com/mydbops-databa...
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inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
DCC tools
1. … because good research needs good data
DCC tools:
DMP Online, DAF & CARDIO
Sarah Jones
Digital Curation Centre
University of Glasgow
sarah.jones@glasgow.ac.uk Funded by:
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
2. … because good research needs good data
New tools catalogue!
www.dcc.ac.uk/resources/ extern
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
3. … because good research needs good data
What is DMP Online?
A web-based tool to help researchers write plans
It features:
• Templates based on different requirements
• Tailored guidance (disciplinary, funder etc)
• Customised exports to a variety of formats
• Ability to share DMPs with others
https://dmponline.dcc.ac.uk/
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
4. … because good research needs good data
How does DMP Online work?
Select templates for your context...
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
5. … because good research needs good data
...relevant content is presented
Funder questions
mapped to
DCC questions
plus customised
guidance
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
6. … because good research needs good data
DMP Online v3.0 just released!
• Improved user interface, inc. customisable institutional versions
• New features:
• Overlaying multiple templates for ‘hybrid’ DMPs
• Template phases (e.g. pre- / during / post-project)
• Granular read / write / share permissions
• API for systems interoperability
• Shibboleth authentication
• Multilingual support
• Boilerplate text
• Endorsement from funders
www.dcc.ac.uk/news/dmp-online-v3-launches
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
7. … because good research needs good data
You can customise it for your uni
Add your logo, colours, URL…
Profile local support
Select desired
questions
•www.dcc.ac.uk/blog/tailoring-dmp-online-for-your-institution
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
8. … because good research needs good data
What is DAF?
• A methodology to investigate / assess research data
management practice
• Created in a 6-month JISC project in 2008
• The name has changed!
http://www.data-audit.eu/
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
9. … because good research needs good data
How does DAF work?
• Set the focus and scope of your study
- Investigate data holdings, capacity growth, current practice...
• Decide what approach(es) will work best
- Online survey, interviews, focus groups, desk research...
• Look at earlier examples that you can repurpose
www.data-audit.eu/docs/DAF_Implementation_Guide.pdf
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
10. … because good research needs good data
How has it been used?
Data collection in three stages
1. initial interviews with research leaders in each School
2. online survey of researchers
3. one-to-one interviews with researchers
Topics covered:
• types, sizes and formats of research data
• data ownership • sharing and access (short and long term)
• storage • funders’ requirements
• security
http://nectar.northampton.ac.uk/2736/
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
11. … because good research needs good data
DAF impact at Northampton
KeepIT RDM policy
(repository
Preservation)
Implement
change
DCC
engagement
See slides by Miggie Pickton at:
http://www.dcc.ac.uk/webfm_send/754
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
12. … because good research needs good data
What is CARDIO?
• A tool to agree RDM strengths and weaknesses
• Aim for consensus across multiple viewpoints
• Uses on a 1-5 scale for maturity
• Based on the three-legged stool model
from Cornell & AIDA toolkit
http://cardio.dcc.ac.uk/
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
13. … because good research needs good data
How does CARDIO work?
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
14. … because good research needs good data
How has it been used?
...bring on Stella!
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
15. … because good research needs good data
Any questions?
Raising Your ReDMan @ UWE 23 May 2012 #mrduwe2012
Editor's Notes
There are lots of great tools created by others in the community. DCC has recently overhauled its external tools catalogue to better profile these – let us know what you think!
I’ll give a quick over view to DCC’s main tools DMP Online is a tool to help researchers write plans. It pulls together the various requirements and relevant support to make the process easier.
At the outset you’re asked to select templates that are appropriate for your context e.g. funder templates if applying for funding, disciplinary or institutional ones etc
You’re then presented with a template which draws out relevant questions from the DCC Checklist together with custom guidance
DMP Online version 3 has just been released (May 2012) and it brings significant added functionality to the tool You can now layer different templates to meet various requirements at once, an API is being developed and boilerplate text can be added.
Institutional versions of DMP Online can also be provided – just select the questions you want to include, add your branding, details of local guidance, links to support staff at your uni and suggested answers where appropriate Options for customisation are outlined in Martin’s blog post
DAF is a survey method that has primarily been used to investigate RDM practice. JISC’s original hope was to identify and register data assets too, but the scale of holdings was found to be too great. Originally it was called the Data Audit Framework and this was changed to ‘Asset’ so you’ll see it under both names
There are various things you may want to investigate, so the first task is to set the scope and then decide the best way to collect that information Lots of people have already done similar studies so repurpose their work
Here’s an example of how DAF was used at Northampton. They used a few interviews to set the scope, then did an online survey and used the results to identify researchers for in-depth interviews Coverage addressed the nature of the data and most activities / issues that may be encountered throughout the research lifecycle
The DAF study at Northampton came out of the JISC KeepIT project. Findings from the study have led to a RDM policy, a DMP Online template, and now policy implementation via the DCC engagements
CARDIO is a tool to gain consensus across researchers & services on current RDM capability It’s based on the three-legged stool model and uses a 1-5 scale for maturity modelling There’s a mini quiz and full online tool
CARDIO works by getting lots of viewpoints, so there are options to invite participants. You can limit the questions each person is expected to answer. You then consider the questions and enter a 1-5 rating. Example statements are provided to help in the assessment.
I’m not going to talk about how CARDIO has been used as there’s a great example here at UWE. I’ll hand you over to Stella.