The document summarizes a presentation given by Martin Donnelly and Sarah Jones of the Digital Curation Centre (DCC) on research data management. It discusses the DCC's role in developing tools like DMP Online to help researchers create data management plans. DMP Online allows users to create and update plans that meet funder requirements, and receive guidance on best practices. The presentation highlights the DCC's collaborations with funders and institutions to develop templates and provide support for putting data management policies into practice.
Supporting Research Data Management at the University of StirlingLisa Haddow
The Digital Curation Centre (DCC) provides support to universities to help them manage research data. This includes tools to assess data needs and risks, plan data management, and develop policies. The DCC can help universities develop data management strategies, provide training to researchers, and pilot tools. Its goal is to build research data management capacity across UK higher education. The DCC is working intensively with 18 universities to increase capabilities in these areas over the next year.
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
Presentation given by Sarah Jones at a seminar run by LSHTM on 6th November 2012. http://www.lshtm.ac.uk/newsevents/events/2012/11/developing-data-management-expertise-in-research---half-day-event
The Johns Hopkins University Data Management Services conducted an investigation into its first year of operation to better understand how to develop services from a social science perspective. They found that (1) data curation needs were emerging as a "social movement" in response to digital data production, (2) policies from funders like the NSF were helping to formalize data sharing requirements, and (3) academic libraries were starting to expand services to support data management and curation. Based on these trends and investigating university cultures, the JHU Data Management Services developed consulting, archiving, and planning support services tailored to researchers' data practices.
Supporting Research Data Management at the University of StirlingLisa Haddow
The Digital Curation Centre (DCC) provides support to universities to help them manage research data. This includes tools to assess data needs and risks, plan data management, and develop policies. The DCC can help universities develop data management strategies, provide training to researchers, and pilot tools. Its goal is to build research data management capacity across UK higher education. The DCC is working intensively with 18 universities to increase capabilities in these areas over the next year.
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
Presentation given by Sarah Jones at a seminar run by LSHTM on 6th November 2012. http://www.lshtm.ac.uk/newsevents/events/2012/11/developing-data-management-expertise-in-research---half-day-event
The Johns Hopkins University Data Management Services conducted an investigation into its first year of operation to better understand how to develop services from a social science perspective. They found that (1) data curation needs were emerging as a "social movement" in response to digital data production, (2) policies from funders like the NSF were helping to formalize data sharing requirements, and (3) academic libraries were starting to expand services to support data management and curation. Based on these trends and investigating university cultures, the JHU Data Management Services developed consulting, archiving, and planning support services tailored to researchers' data practices.
Data Curation Models JHU Barbara Pralle RDAP12ASIS&T
This document summarizes the data curation services model of Johns Hopkins University. It discusses how JHU's data management services evolved from digitizing collections in the 1990s to establishing the Digital Research and Curation Center and Data Conservancy project. The services currently focus on data management planning for NSF proposals and archiving research data in JHU's data archive. The launch and sustainability of these services is discussed, along with plans for future expansion.
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.
This document provides an overview of developing a data management plan. It discusses the Digital Curation Centre and the speaker's involvement with DMPs. A DMP is a plan for managing research data throughout the data lifecycle that addresses issues like data capture, documentation, access, storage, backup, and long-term preservation. Developing a DMP ensures good data practices and maximizes data reuse. It also benefits research by making the process more efficient, data more accessible and transparent, and findings more impactful. A DMP typically involves researchers, institutions, partners and other stakeholders. Funders like the European Union also have specific DMP requirements for projects seeking funding.
Presentation of current challenges of upgrading the intrasturcture for access and preservation of social science research data and worklow in Slovene social science data archive
Funder requirements for Data Management PlansSherry Lake
This document discusses funder requirements for data management and sharing. It notes that major funders like the National Science Foundation (NSF) and National Institutes of Health (NIH) require applicants to submit a data management plan. These plans describe how research data will be organized, preserved, and shared. The document provides details on what funders expect to see in a data management plan, including a description of the data, metadata standards, data access and sharing policies, and plans for long-term data preservation. It also lists other funders that require applicants to have a data management or sharing plan.
I shall provide a summary of JISC work in the area of ‘Big Data’. My primary focus will be on how to manage the huge amount of research data produced in UK Universities. I shall cover the history of JISC interventions to improve research data management and look at next steps. I shall touch on some other areas of work like ‘Digging into Data’ and web archiving which also deal with ‘big data’.
Managing data throughout the research lifecycleMarieke Guy
This document summarizes a presentation about managing data throughout the research lifecycle. It discusses the stages of the research lifecycle, including planning, data creation, documentation, storage, sharing, and preservation. It provides examples of research lifecycle models and addresses key questions to consider at each stage, such as what formats to use, how to document data, where to store it, and how to share and preserve it. The presentation emphasizes making informed decisions about data management and talking to colleagues for support and advice.
The document summarizes a pilot project at the University of Edinburgh to support the development of a UK Research Data Discovery Service. PhD interns engaged with researchers from various schools to describe and deposit research datasets in the university's systems to be harvested by the discovery service. Observations found mixed results across schools, with humanities researchers less comfortable sharing data due to copyright and reluctance to share interpretations. Other schools had established data repositories causing less interest in the university's system. Building research data management practices will require tailored approaches and more training over time.
Information technology and resources are an integral and indispensable part of the contemporary academic enterprise. In particular, technological advances have nurtured a new paradigm of data-intensive research. However, far too much of this activity still takes place in silos, to the detriment of open scholarly inquiry, integrity, and advancement. To counteract this tendency, the University of California Curation Center (UC3) has been developing and deploying a comprehensive suite of curation services that facilitate widespread data management, preservation, publication, sharing, and reuse. Through these services UC3 is engaging with new communities of use: in addition to its traditional stakeholders in cultural heritage memory organizations, e.g., libraries, museums, and archives, the UC3 service suite is now attracting significant adoption by research projects, laboratories, and individual faculty researchers. This webinar will present an introduction to five specific services – DMPTool, DataUp, EZID, Merritt, Web Archiving Service (WAS) – applicable to data curation throughout the scholarly lifecycle, two recent initiatives in collaboration with UC campuses, UC Berkeley Research Hub and UC San Francisco DataShare, and the ways in which they encourage and promote new communities of practice and greater transparency in scholarly research.
Presentation from a University of York Library workshop on research data management. The workshop provides an introduction to research data management, covering best practice for the successful organisation, storage, documentation, archiving, and sharing of research data.
Data management plans and planning - a gentle introductionMartin Donnelly
The document provides an overview of facilitating open science training for European research. It discusses data management plans and planning, including the importance of planning, what a data management plan entails, and examples of DMPs. It also describes the Horizon 2020 DMP pilot program in Europe and requirements for DMPs submitted with grant proposals. Finally, it outlines support resources for developing DMPs and the objectives and methods of the FOSTER project which aims to support the adoption of open access policies in European research.
The document summarizes a presentation by the UC Curation Center on supporting UC research data management. The UC Curation Center helps ensure the long-term preservation of and access to UC's digital research outputs. They are developing tools and services to help researchers at all stages of the research lifecycle, from creating data management plans and collecting datasets to publishing, preserving, and sharing research outputs. Their goal is to engage researchers early, prioritize initiatives, provide simple evolving tools, deploy flexible infrastructure, and develop partnerships to support diverse research data management needs.
The document provides an overview of open science and its benefits. It discusses how open science involves making research outputs like publications and data openly accessible and reusable. Open access to publications and data sharing are required by Horizon 2020, the EU research funding program. It must be ensured that publications resulting from Horizon 2020 funding are made openly accessible within 6 months, and data must be deposited in repositories to validate results. Overall open science is aimed at increasing the benefits and impacts of research.
The FOSTER project aims to support stakeholders, especially young researchers, in adopting open access practices that comply with Horizon 2020 requirements. It will develop training materials and an e-learning portal, deliver face-to-face training for trainers, and help institutions strengthen their open access training capacity. The project seeks to facilitate adoption of open access policies across European funders in line with the EC's recommendation and support the transition to open science.
Research data management and the Digital Curation CentreMartin Donnelly
Slides from a couple of webinars given while visiting ANDS in Canberra, Australia. (N.B. We also gave short talks at Statistics New Zealand and Monash University - the slides are more or less the same.)
Data Curation Models JHU Barbara Pralle RDAP12ASIS&T
This document summarizes the data curation services model of Johns Hopkins University. It discusses how JHU's data management services evolved from digitizing collections in the 1990s to establishing the Digital Research and Curation Center and Data Conservancy project. The services currently focus on data management planning for NSF proposals and archiving research data in JHU's data archive. The launch and sustainability of these services is discussed, along with plans for future expansion.
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.
This document provides an overview of developing a data management plan. It discusses the Digital Curation Centre and the speaker's involvement with DMPs. A DMP is a plan for managing research data throughout the data lifecycle that addresses issues like data capture, documentation, access, storage, backup, and long-term preservation. Developing a DMP ensures good data practices and maximizes data reuse. It also benefits research by making the process more efficient, data more accessible and transparent, and findings more impactful. A DMP typically involves researchers, institutions, partners and other stakeholders. Funders like the European Union also have specific DMP requirements for projects seeking funding.
Presentation of current challenges of upgrading the intrasturcture for access and preservation of social science research data and worklow in Slovene social science data archive
Funder requirements for Data Management PlansSherry Lake
This document discusses funder requirements for data management and sharing. It notes that major funders like the National Science Foundation (NSF) and National Institutes of Health (NIH) require applicants to submit a data management plan. These plans describe how research data will be organized, preserved, and shared. The document provides details on what funders expect to see in a data management plan, including a description of the data, metadata standards, data access and sharing policies, and plans for long-term data preservation. It also lists other funders that require applicants to have a data management or sharing plan.
I shall provide a summary of JISC work in the area of ‘Big Data’. My primary focus will be on how to manage the huge amount of research data produced in UK Universities. I shall cover the history of JISC interventions to improve research data management and look at next steps. I shall touch on some other areas of work like ‘Digging into Data’ and web archiving which also deal with ‘big data’.
Managing data throughout the research lifecycleMarieke Guy
This document summarizes a presentation about managing data throughout the research lifecycle. It discusses the stages of the research lifecycle, including planning, data creation, documentation, storage, sharing, and preservation. It provides examples of research lifecycle models and addresses key questions to consider at each stage, such as what formats to use, how to document data, where to store it, and how to share and preserve it. The presentation emphasizes making informed decisions about data management and talking to colleagues for support and advice.
The document summarizes a pilot project at the University of Edinburgh to support the development of a UK Research Data Discovery Service. PhD interns engaged with researchers from various schools to describe and deposit research datasets in the university's systems to be harvested by the discovery service. Observations found mixed results across schools, with humanities researchers less comfortable sharing data due to copyright and reluctance to share interpretations. Other schools had established data repositories causing less interest in the university's system. Building research data management practices will require tailored approaches and more training over time.
Information technology and resources are an integral and indispensable part of the contemporary academic enterprise. In particular, technological advances have nurtured a new paradigm of data-intensive research. However, far too much of this activity still takes place in silos, to the detriment of open scholarly inquiry, integrity, and advancement. To counteract this tendency, the University of California Curation Center (UC3) has been developing and deploying a comprehensive suite of curation services that facilitate widespread data management, preservation, publication, sharing, and reuse. Through these services UC3 is engaging with new communities of use: in addition to its traditional stakeholders in cultural heritage memory organizations, e.g., libraries, museums, and archives, the UC3 service suite is now attracting significant adoption by research projects, laboratories, and individual faculty researchers. This webinar will present an introduction to five specific services – DMPTool, DataUp, EZID, Merritt, Web Archiving Service (WAS) – applicable to data curation throughout the scholarly lifecycle, two recent initiatives in collaboration with UC campuses, UC Berkeley Research Hub and UC San Francisco DataShare, and the ways in which they encourage and promote new communities of practice and greater transparency in scholarly research.
Presentation from a University of York Library workshop on research data management. The workshop provides an introduction to research data management, covering best practice for the successful organisation, storage, documentation, archiving, and sharing of research data.
Data management plans and planning - a gentle introductionMartin Donnelly
The document provides an overview of facilitating open science training for European research. It discusses data management plans and planning, including the importance of planning, what a data management plan entails, and examples of DMPs. It also describes the Horizon 2020 DMP pilot program in Europe and requirements for DMPs submitted with grant proposals. Finally, it outlines support resources for developing DMPs and the objectives and methods of the FOSTER project which aims to support the adoption of open access policies in European research.
The document summarizes a presentation by the UC Curation Center on supporting UC research data management. The UC Curation Center helps ensure the long-term preservation of and access to UC's digital research outputs. They are developing tools and services to help researchers at all stages of the research lifecycle, from creating data management plans and collecting datasets to publishing, preserving, and sharing research outputs. Their goal is to engage researchers early, prioritize initiatives, provide simple evolving tools, deploy flexible infrastructure, and develop partnerships to support diverse research data management needs.
The document provides an overview of open science and its benefits. It discusses how open science involves making research outputs like publications and data openly accessible and reusable. Open access to publications and data sharing are required by Horizon 2020, the EU research funding program. It must be ensured that publications resulting from Horizon 2020 funding are made openly accessible within 6 months, and data must be deposited in repositories to validate results. Overall open science is aimed at increasing the benefits and impacts of research.
The FOSTER project aims to support stakeholders, especially young researchers, in adopting open access practices that comply with Horizon 2020 requirements. It will develop training materials and an e-learning portal, deliver face-to-face training for trainers, and help institutions strengthen their open access training capacity. The project seeks to facilitate adoption of open access policies across European funders in line with the EC's recommendation and support the transition to open science.
Research data management and the Digital Curation CentreMartin Donnelly
Slides from a couple of webinars given while visiting ANDS in Canberra, Australia. (N.B. We also gave short talks at Statistics New Zealand and Monash University - the slides are more or less the same.)
The document discusses data management planning and the Digital Curation Centre's (DCC) Data Management Planning tool. The DCC tool allows researchers to create and update data management plans, meeting funder requirements. It provides guidance and customizable templates. The tool facilitates communication within projects and supports institutional workflows. The DCC collaborates with funders and institutions to develop guidance and templates for the tool.
The Digital Curation Centre (DCC) helps research institutions and funders develop data management plans and policies. The DCC created an online tool called DMP Online that allows researchers to create customized data management plans that meet funder requirements. DMP Online provides guidance and templates on best practices. The DCC also analyzes funder policies and develops training and resources to help institutions build data management strategies and capabilities.
Presentation given by Sarah Jones and Martin Donnelly outlining the UK RDM landscape, JISC MRD programmes, and DCC initiatives.
The presentation was given at Statistics New Zealand on 28th March, ANDS webinars on 29th & 30th March and Monash University on 2nd April 2012.
Stuart Macdonald steps through the process of creating a robust data management plan for researchers. Presented at the European Association for Health Information and Libraries (EAHIL) 2015 workshop, Edinburgh, 11 June 2015.
The document provides information on creating a data management plan (DMP) for grant applications. It discusses what a DMP is, why they are important, and what funders require in a DMP. A DMP outlines how research data will be collected, documented, stored, shared, and preserved. The document recommends addressing six key themes in a DMP: data types and standards; ethics and intellectual property; data access, sharing and reuse; short-term storage and management; long-term preservation; and resourcing. Developing a strong DMP helps researchers manage data effectively and makes data available and reusable by others.
This document provides an overview of a webinar on digital curation and research data management for universities. The webinar covers an introduction to digital curation, the benefits and drivers for research data management, current initiatives in UK universities, and the role of libraries in supporting research data management. Libraries are increasingly involved in developing institutional policies, providing training, and advising researchers on writing data management plans and sharing data. The webinar highlights training opportunities for librarians to develop skills in research data management and digital curation.
Implementing Open Access: Effective Management of Your Research DataMartin Hamilton
This document discusses research data management and support available from Jisc and the Digital Curation Centre (DCC). It provides background on policy drivers for research data management, outlines support offered by the DCC including capability studies, data management planning tools, and training. It also summarizes results from a 2014 survey of UK higher education institutions which found most progress in policy development and plans, but challenges around staffing, funding, and engagement of researchers. The document concludes with feedback on future priorities such as compelling services, engaging researchers, and shared infrastructure solutions.
This document discusses data management plans (DMPs), which are required by many research funders to outline how research data will be managed and shared. It explains that DMPs describe what data will be created, how it will be documented and shared, and how it will be preserved long-term. The document also notes that developing a DMP involves multiple stakeholders, and outlines tools like DMPonline that can help researchers create DMPs by guiding them through the required sections.
This document summarizes a training course on research data management for librarians. The course covers key topics like what research data is, data management planning, data sharing, skills needed to support research data management, and how libraries can play a role in supporting RDM at their institution. The training includes presentations, exercises, and discussions to help librarians understand research data issues and ways they can provide services to support researchers with managing and sharing their data.
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.
Big Data Europe: SC6 Workshop 3: The European Research Data Landscape: Opport...BigData_Europe
Slides of the keynote at the 3rd Big Data Europe SC6 Workshop co-located at SEMANTiCS2018 in Amsterdam (NL) on: The European Research Data Landscape: Opportunities for CESSDA by Peter Doorn, Director DANS, Chair, Science Europe W.G. on Research Data. Chair, CESSDA ERIC General Assembly
The document provides an overview of research data management (RDM) and the RDM services that Lancaster University plans to offer. It discusses that RDM involves maintaining and preserving digital research data throughout its lifecycle. It also notes that funder requirements and policies are driving universities to improve RDM practices to ensure long-term access and reuse of research data. Lancaster University plans to offer storage, advocate for RDM, provide training and support, help with data management plans, and collaborate with other universities and groups like N8 on RDM issues.
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.
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
A short, retrospective presentation given as part of the #10yearsDMPonline celebrations in November 2020. I product-managed the first few iterations of this free software tool.
Open Data: Strategies for Research Data Management (and Planning)Martin Donnelly
The document provides information about facilitating open science training for European research. It discusses the Digital Curation Centre (DCC), which provides guidance and services on research data management and open science. The FOSTER project aims to spread open science practices through training resources, events, and online courses. The presentation then discusses research data management (RDM), including the benefits of managing data according to FAIR principles to make it findable, accessible, interoperable, and reusable. It also covers the importance of developing data management plans (DMPs) to document how research data will be handled and preserved over its lifecycle.
Open Data Strategies and Research Data RealitiesMartin Donnelly
The document summarizes a presentation about facilitating open science training in Europe. It discusses the benefits of open data and research, including increased impact, accessibility, efficiency and transparency. However, it also notes challenges like privacy, recognition issues, and technical limitations. Emerging consensus supports the "FAIR" principles of findable, accessible, interoperable and reusable data. The presentation provides guidance on open data strategies, including having a data management plan, describing and archiving data appropriately, and using standards. It emphasizes communication and seeking help from research support organizations.
Horizon 2020 open access and open data mandatesMartin Donnelly
This document summarizes the key requirements for open access and open data under the Horizon 2020 framework. It outlines the mandate for open access to publications, requiring deposit in a repository and granting open access rights. It also describes the open data pilot, defining research data and the FAIR principles of findable, accessible, interoperable and reusable data. Projects must submit a data management plan addressing data collection, sharing and preservation. Compliance involves depositing data in a repository and applying an open license.
Open Data - strategies for research data management & impact of best practicesMartin Donnelly
This document summarizes a presentation on open data strategies and research data management best practices. It discusses the importance of open data as part of the broader open science movement. The presenter outlines good practices for research data management, including planning, documentation, storage, and deposition. Benefits of good research data management include increased impact, accessibility, transparency, efficiency and data durability. Risks of poor management include legal issues, financial penalties, lost scientific opportunities and reputational harm. The presentation provides a step-by-step approach to research data management and discusses roles and responsibilities of different stakeholders.
Preparing your own data for future re-use: data management and the FAIR prin...Martin Donnelly
The document discusses data management and the FAIR principles for data. It provides an overview of the FAIR principles, which aim to make data findable, accessible, interoperable, and reusable. The FAIR principles have been adopted by the European Commission and are being implemented in Horizon 2020 projects through requirements that project data should follow the FAIR principles by being well-described, indexed, and shared under open licenses. Proper data management helps ensure research data remains available and reusable over time.
Research Data in the Arts and Humanities: A Few DifficultiesMartin Donnelly
The document discusses research data management (RDM) in the arts and humanities. It notes that RDM is often driven by science-centric policies that can alienate those in the arts and humanities. Key challenges include defining "data" and treating creative works as data, addressing different research methodologies, and the personal and non-factual nature of some arts data. The document explores issues around archiving arts data, including formats, linking analog and digital materials, and respecting the original order or collections. It proposes exercises for attendees to consider policies at their institutions and the drivers and benefits of RDM for different fields.
Practical Research Data Management: tools and approaches, pre- and post-awardMartin Donnelly
This document provides an overview of a presentation on practical research data management. It discusses the importance of research data management, who is involved in the process, and the benefits it provides, such as increased efficiency and accessibility of data. It emphasizes that data management planning is a shared activity that should involve researchers, support staff, and other stakeholders. Effective data management planning helps ensure data is organized, documented, preserved, and shared appropriately. The presentation also provides examples of what a data management plan may include and why creating one is important for collaborative research projects.
Research Data in the Arts and Humanities: A Few Tricky QuestionsMartin Donnelly
The document discusses research data in the arts and humanities. It notes that research data is defined differently across disciplines, with definitions in the arts focusing more on evidence used to generate new knowledge and interpretations, which can include subjective experiences. In the arts, the research process itself is sometimes considered the work, rather than a definite outcome. The document also discusses how data reuse has long been integral to the arts and humanities culture through things like Shakespeare borrowing plots and theorists examining connections between texts.
This document discusses open science and data management policies in Horizon 2020, the EU's research and innovation program. Key points include:
- Horizon 2020 requires all funded research publications to be openly accessible through either gold or green open access routes. It also pilots an open research data requirement.
- The open data pilot applies to certain project types and requires depositing data needed to validate results in a repository, as well as specifying data management plans.
- The goals are to lower barriers to publicly funded research outputs, speed up the research process, and strengthen research quality and impact through open sharing of publications and data.
The Horizon2020 Open Data Pilot - OpenAIRE WebinarMartin Donnelly
Martin Donnelly presented information on facilitating open science training for European research. The presentation covered:
1) An overview of open access, open data, and open science and how they are linked.
2) Details of the Horizon 2020 Open Research Data Pilot, including its aims, scope, and specifics around data management plans and sharing requirements.
3) Resources for developing data management plans from the Digital Curation Centre and other organizations.
4) An introduction to the FOSTER project which aims to support adoption of open access and compliance with Horizon 2020 requirements through training.
Martin Donnelly presented information on facilitating open science training for European research. The presentation covered:
1) An overview of open access, open data, and open science and how they are linked.
2) Details on the Horizon 2020 Open Research Data Pilot, including its scope, data management plan requirements, and opt-out conditions.
3) Information on the FOSTER project, which aims to support adoption of open access policies and compliance with Horizon 2020 requirements through training programs.
Research Data Management: a gentle introduction for admin staffMartin Donnelly
The document provides an overview of research data management (RDM) for administrative staff. It defines RDM as the active management of data over its lifecycle, and discusses why RDM is important due to funder requirements, risk management, and transparency. It outlines key roles and responsibilities for researchers and support staff, noting support staff should understand funder policies, provide guidance to researchers, and expect questions about RDM processes.
Research Data Management: a gentle introductionMartin Donnelly
This document provides an overview and introduction to research data management. It defines research data management as the active management and appraisal of data over the lifecycle of scholarly and scientific interest. It discusses the importance of data management, including benefits like transparency, efficiency, risk management and preservation. It also covers challenges like lack of understanding, issues around ownership and privacy, and technical limitations. The document provides resources and best practices for data management planning, storage, selection, sharing and support. The key messages are that research data management is now integral to quality research and requires careful planning and coordination across institutions.
Future agenda: repositories, and the research processMartin Donnelly
This document discusses research data management in the context of non-standard archiving of research outputs, with a focus on challenges in the arts and humanities. It notes that while data reuse has long been integral to various creative disciplines, archiving creative research data presents unique issues not present in scientific disciplines. These include the personal nature of creative works, differentiating between research and personal works, issues with non-digital materials, and the blurry boundaries of creative research processes. The document raises questions around concepts like evidence, facts, and replication in subjective creative research.
Research data management: a tale of two paradigms: Martin Donnelly
Presentation I was supposed to give at "Scotland’s Collections and the Digital Humanities" workshop in Edinburgh on May 2nd 2014. Illness prevented it, but my heroic DCC colleague Jonathan Rans stepped up and delivered the presentation on my behalf.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
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.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
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Research data management: from policy to practice with DMP Online
1. Research data management: from
policy to practice with DMP Online
Martin Donnelly Sarah Jones
Digital Curation Centre Digital Curation Centre
University of Edinburgh University of Glasgow
Future Perfect 2012: Digital Preservation by Design
Te Papa Tongarewa, Wellington, New Zealand
26 – 27 March 2012
2. Running order (c. 25 mins)
1. Introduction to the DCC & research data management
2. Data-related policies in the UK Sarah
3. The DCC & data management planning
4. DMP Online v3.0
5. Connections and collaborations
6. Putting it into practice (UMF work and other things) Martin
7. Summary / conclusion
3. 1. The Digital Curation Centre
- Founded in 2004
- Three partners: Edinburgh, Glasgow and Bath
- Primary funder is JISC
Helping to build capacity, capability and skills in
data management and curation across the UK’s
higher education research community
- DCC Phase 3 Business Plan
4. What does the DCC do?
• Develop tools
– CARDIO, DAF, DRAMBORA, DMP Online
• Offer guidance
– helpdesk, briefing papers, how-to guides
• Run training & events
– DC101, roadshow, RDMF, IDCC
• Support the JISC
– esp. the Managing Research Data programmes
5. What is Research Data Management?
“the active management and
Manage
appraisal of data over the
lifecycle of scholarly and
scientific interest”
Share Data management is part of
good research practice
6. How does RDM affect preservation?
The costs of ingest – receiving data, preparing it for long-term
storage, and incorporating it into the digital archive – receives
the largest allocation of resources.
- Keeping Research Data Safe 2
7. 2. Data-related policies in the UK
http://www.dcc.ac.uk/resources/policy-and-legal/overview-funders-data-policies
8. RCUK Common Principles
• Publicly funded research data are a public good, produced in the public interest,
which should be made openly available with as few restrictions as possible in a
timely and responsible manner that does not harm intellectual property.
• Institutional and project specific data management policies and plans should be in
accordance with relevant standards and community best practice. Data with
acknowledged long-term value should be preserved and remain accessible and
usable for future research.
• To enable research data to be discoverable and effectively re-used by others,
sufficient metadata should be recorded and made openly available ....
7 principles agreed by all the UK
research councils in May 2011
http://www.rcuk.ac.uk/research/Pages/DataPolicy.aspx
9. UK research funder expectations
• timely release of data
– once patents are filed or on (acceptance for) publication
• open data sharing
– minimal or no restrictions
– deposit in data centres, structured databases, data enclave
• preservation of data
– most funders state expect 5-10+ years
• submission of data management and sharing plans…
10. 3. The DCC and DMP
We’ve responded to requirements by offering support
Analysed
requirements
Developed a
Checklist
Provided tools
& guidance
Links to all DMP resources via http://www.dcc.ac.uk/resources/data-management-plans
11. What is a DMP?
UK research funders typically ask for:
• A short statement/plan submitted in grant applications
• An outline of what you will create/collect, methods,
standards, data management and long-term plans
• How and why – justify your decisions and any limits
12. Common DMP questions
• What data will be created (format, types) and how?
• How will the data be documented and described?
• How will you manage ethics and Intellectual Property?
• What are the plans for data sharing and access?
• What is the strategy for long-term preservation?
13. DCC Checklist Coverage
§1: Introduction and Context
§2: Data Types, Formats, Standards and Capture
Methods
§3: Ethics and Intellectual Property
§4: Access, Data Sharing and Re-use
§5: Short-Term Storage and Data Management
§6: Deposit and Long-Term Preservation
§7: Resourcing
Checklist for a Data Management
§8: Adherence and Review Plan v3.0 (Donnelly and Jones,
March 2011)
§9: Agreement/Ratification by Stakeholders
§10: Annexes
http://www.dcc.ac.uk/resources/data-management-plans
14. DMP-related resources
– “Dealing with Data” (Lyon, 2008)
– Analysis of Funder Policies (Jones, 2009)
– Checklist for a Data Management Plan
(Donnelly and Jones, 2009)
– “How to Develop a Data Management and
Sharing Plan” (Jones, 2011) Edinburgh:
Digital Curation Centre
– “Data Management Plans and Planning”
(Donnelly, 2012) in Pryor (ed.) Managing
Research Data, London: Facet
Links to all DCC resources via http://www.dcc.ac.uk/resources/data-management-plans
15. Key things to remember
All research projects are different
The DMP will depend upon the nature of
the research AND the context (funder,
domain, institution(s) etc)
DMPs are useful communication tools
16. Not a UK phenomenon
Read about the international policy and DMP landscape in:
“Research data policies: “Data Management
principles, requirements Plans and Planning”
and trends” (Jones, (Donnelly, 2012) in
2012) in Pryor (ed.) Pryor (ed.) Managing
Managing Research Research Data,
Data, London: Facet London: Facet
18. What does do?
A web-based tool that enables users to...
i. Create, store and update multiple versions of Data
Management Plans across the research lifecycle
ii. Meet a variety of specific data-related
requirements (from funders, institutions, publishers,
etc.)
iii. Get tailored guidance on best practice and helpful
contacts, at the point of need
iv. Customise export are share DMPs in a variety of
formats in order to facilitate communications within
and beyond research projects
* N.B. The templates have varying degrees of endorsement from funders,
stakeholder communities, etc. More on this shortly…
19. Technologies involved (v3.0)
– Ruby on Rails (v3.1.3)
– JavaScript (jQuery v1.7.1)
– MySQL database (v5+)
– Hosting: University of Edinburgh Information Services
Virtual Hosting (13 managed servers across 2 sites)
– Authentication: registered users with passwords encrypted
in DB (we are also testing Shibboleth for integration with UK
Access Management Federation for Education and Research)
– Various export formats (DOCX, PDF, XML, CSV, etc)
20. DMP Online v3.0: Spring 2012
- 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 (e.g. this project)
- Shibboleth authentication
- Multilingual support / boilerplate text
- Endorsement from funders
21. Collaborations
- Generic data management guidance ( in
conjunction with )
- Funder-specific guidance developed in collaboration
with the funders themselves
- Institution-specific guidance developed with key
institutional contacts
- Discipline-specific guidance developed and deployed
with JISC MRD projects (e.g. DMT Psych at York)
- Joint training programmes organised and delivered
by DCC and UKDA
- Provided advice to US consortium
22. Templates: Stakeholder Liaison (i)
RCUK funders Status
Arts and Humanities Research Council (AHRC) Discussions beginning
Biotechnology and Biological Sciences Research Council Discussions ongoing
(BBSRC)
Engineering and Physical Sciences Research Council No explicit data management plan requirements: DCC
(EPSRC) referenced in roadmap requirements
Economic and Social Research Council (ESRC) Template and guidance developed in collaboration with
ESRC and ESDS. Funder’s online guidance points
applicants towards tool.
Medical Research Council (MRC) Template in preparation through collaboration with
funder
NERC (Natural Environment Research Council) Discussions ongoing
Science and Technology Facilities Council (STFC) DCC resources referenced in data requirements
Other funders Status
The Wellcome Trust Template and guidance endorsed by funder
National Science Foundation (US) Template developed by Sherry Lake, University of
Virginia
23. Templates: Stakeholder Liaison (ii)
Disciplinary templates Status
History Developed in conjunction with University of Hull and University of
Hertfordshire
Psychology Developed by DMT Psych project, led by University of York
Mechanical Engineering Developed as part of REDm-MED project, led by University of Bath
Health sciences Developed by DATUM for Health project, led by University of Northumbria
Spatial information (INSPIRE) Developed in conjunction with EDINA (UK national data centre) and
trialled with Freshwater Biological Association
Institutional templates Status
University of Northampton Developed in collaboration with Information Services department
More institutional and subject-based templates are
being developed through the JISC RDM projects
and UMF institutional engagements…
24. Institutional Engagements:
Putting it into practice
- Working with eighteen institutions over
approximately 18 months to improve data
management capabilities
- A broad variety of institutional types and sizes, from
research intensive ancient universities, to new
universities and small specialist institutions (e.g. art
colleges)
- Institutions select from a ‘menu’ of tools and
services, e.g. (next slide)
25. The Menu
Components of a Data DCC Tools DCC Services
Management Strategy
(Research and Admin)
Policy Data Asset Framework Policy development
(DAF)
Planning DMP Online Strategy development
Advocacy CARDIO Training
Tools DRAMBORA Workflow assessment
Training Costing
Institutional data catalogues
(discovery)
26. Workflow connections
DMP Online can also be used in conjunction
with other tools that support the data
management/curation lifecycle, e.g.…
- DAF (Data Asset Framework)
- DRAMBORA (Digital Repository Audit Method
Based On Risk Assessment)
- CARDIO (Collaborative Assessment of
Research Data Infrastructure and Objectives)
Also non-DCC tools:
- LIFE
- Planets tools
- and more
27. How to connect: six export formats
For human readership… For machine readership…
- Pleasant formatting - Facilitates quick public
sharing
- Editable. Can be used - Compatible with API for
in conjunction with linking with other
(e.g. MS Sharepoint) systems
- Removes all formatting - Minimal formatting
28. External connections
Systems Standards / protocols
– CRIS / admin systems – CERIF*
– RCUK Je-S system
– Institutional Repositories – SWORD2
– DDI repository – DDI*
– DMP Tool (US)
– Other instances of DMP – RDF (? - TBC)
Online via federated
model (? -TBC)
* via RESTful API
29. Research
Support Office Data Library / Repository / Archive
Researcher(s)
DATA
MANAGEMENT
PLAN
UNRULY
DATA
Computing Faculty Ethics
Support Etc...
Committee
30. To sum...
All of our DMP-related resources available online via:
www.dcc.ac.uk/dmponline/
31. Thank you
Martin Donnelly Sarah Jones
Digital Curation Centre Digital Curation Centre
University of Edinburgh University of Glasgow
martin.donnelly@ed.ac.uk sarah.jones@glasgow.ac.uk
Twitter: @mkdDCC Twitter: @sjDCC
Check out DCC at: www.dcc.ac.uk or follow us on twitter @digitalcuration and #ukdcc
Image credits:
Slide 1 - http://upload.wikimedia.org/wikipedia/commons/8/88/LernaeanHydraRephael.jpg
Slide 5 - http://www.dcc.ac.uk/resources/curation-lifecycle-model
Slide 6 (The Scream) - http://www.flickr.com/photos/terryfreedman/6548040049
Slide 6 (OAIS) - http://public.ccsds.org/publications/archive/650x0b1.pdf
This work is licensed under the Creative Commons
Attribution 2.5 UK: Scotland License.
Slide 29 - http://en.wikipedia.org/wiki/File:Hercules_slaying_the_Hydra.jpg
Slide 30 - http://www.treehugger.com/picture-is-worth-sum-car-parts.jpg
Editor's Notes
Good afternoon. We are Martin Donnelly and Sarah Jones of the Digital Curation Centre, at the Universities of Edinburgh and Glasgow respectively. We’ll be talking today about the journey from research data management policy to good practice, and how the DCC’s resources, notably the DMP Online tool, can support this journey.
Sarah will give an introduction to the DCC and our interest in research data management, before giving an overview of the policy situation in the UK and how we got involved in data management planning.Martin will then take over, talking in more detail about the DMP Online tool, the various collaborations we’ve formed through this work, and an overview of the major job of work that we’re both currently involved in, namely the DCC’s set of institutional engagements.
The UK Digital Curation Centre was established in 2004. We’re based across three universities, and have a remit to support UK Higher Education as a whole.Our mission has changed over time from a focus on digital curation and preservation, working largely with archives and repositories, to research data management in universities.
The DCC has four main strands of activity:We develop tools to help organisations assess their infrastructure &capabilities or to undertake specific tasks e.g. writing DMPs with DMP OnlineWe run a helpdesk, which is open to all, and provide guidance. How To guides are a new range of pragmatic, practical advice.We run training and community building events. The roadshows help institutions develop research data management strategiesWe support JISC by co-ordinating events, working with projects and synthesising/disseminating findings.
The DCC developed the curation lifecycle model to explain the range of activities involved in creating, preserving and sharing digital content.In RDM terms ‘curation’ is simply managing & sharing data. The DCC argues that this is just part of good research practice.
How datasets are created and managed in the short-term affects how much work it is to ingest and preserve them. The transition isn’t always easy, which is why it’s useful to work with researchers early on to support them to make informed decisions about how to create and manage their data.The KRDS costs and benefits studies found that ingest is by far and away the most resource intensive activity.
Last year the 7 UK Research Councils released common principles to harmonise their data policies.These push for open data, acknowledge the importance of policies and planning, and cover various aspects on curating data (including meeting costs).
Basic expectations across the board are that:Data are released as soon as possibleData are shared openly wherever possibleData are preserved for 10+ yearsDMPs are submitted that outline plans for data management and sharing
The DCC has responded to these requirements by providing lots of support on data management planningLiz Lyon first called for plans in 2007 in a recommendation in the Dealing with Data ReportWe have since analysed funders requirements and put together a checklist for a Data Management PlanThe Checklist is the underlying intellectual framework in DMP Online, the flagship of the DCC’s tools and resourcesWe also provide guidance documents and have custom guidance (disciplinary & institutional) built into DMP Online
A DMP is a basic statement of how you will create, manage, share and preserve your dataFunders expect the decisions to be justified, particularly where it’s not in line with their policy (e.g. limits on data sharing)
The main questions across the board cover:Data creationMetadata and documentationEthical and legal issuesData sharing Preservation
You see the common questions come through in the main sections of the DCC ChecklistWe also include administrative sections (intro, review, ratification) so you can ensure co-ordination and commitment across all of the stakeholders involved in managing data.
So in summary, these are some of the key DMP-related resources.
The main things to remember about DMPs is that all research projects are different- the DMP will vary with context.Apart from a few very specialised areas like backup - there are no universal rights and wrongs.Research data management by nature involves multiple stakeholders, so planning is important as a communication mechanism.The process of producing a plan (i.e. engaging with others and deciding on the best way forward) is as important as the plan itself.
SJ > MDThese expectations and trends are not a UK phenomenon. Martin and I have contextualised the UK experience of data policies and planning, by reflecting on international initiatives in Managing Research DataThis is why DMP Online is relevant to international audiences, so I’ll let Martin tell you all about it.
Thanks SarahWe started developing DMP Online in 2009, and launched the first version in 2010. We’re now on to v3.0, which includes some great new features that we’re really excited about.
The DCC Checklist is by nature very long, and its length was felt to be off-putting to researchers. Most of them don’t want to deal with this stuff even at a basic level, and a long Checklist with over 100 questions was not going to enjoy a large takeup.No matter how many times we said “you don’t need to fill it all in, just the bits that are relevant to you at this time” the message wasn’t going to sink in, so we developed a fairly basic wizard style tool which asked a few questions about what stage your research was at, who your funder was, etc, and then pulled out only the most relevant questions from the Checklist to help you meet the pertinent requirements. So instead of seeing 115 questions, you might be presented with only 15 or 20. Much better.We then added functionalities like export and customisation, and some generic guidance to help with some of the more esoteric sections such as file format selection and metadata.
For those interested in such things, these are the technologies used in v3.0.
As I mentioned earlier, version 3 launched very recently, and has a number of great new features.The user interface has been tweaked to allow easier (one-click) access to most of the screens, and we’re investigating customised institutional versions with, among others, the University of Oxford.The tool now enables the application of multiple templates, so you can create a single DMP that satisfies your institution, your funder and your publisher at the same time. These templates can be phased more elegantly, so that you can ask (for example) a few questions at the application stage, more during the project’s lifetime, and then add even more detail when you’re close to completion.Users now have the option to make their plans more widely available. Authentication can be managed via the UK Federated Access Shibboleth mechanism, and we have coded the new system to enable easy translation into other languages, and to handle boilerplate text where this is thought to be beneficial.We have also been working behind the scenes to gain more official endorsement from some of the big funding councils, and this is starting to bear fruit.
So, in addition to the liaison with the funders, we’ve developed relationships with a variety of others. Our closest working relationship has probably been with the UK Data Archive, which is the designated place of long term deposit for the Economic and Social Research Council. Working with UKDA we have developed a data management planning template and guidance for ESRC applicants, and we also point to some UKDA guidance in the generic Checklist. We have also liaised with Wellcome Trust, the Medical Research Council and various other funders to develop dedicated DMP templates for them. Continuing in this vein, we’ve worked with disciplinary specialists and key institutional contacts to develop further DMP templates, and through the JISC Managing Research Data programmes we’ve contributed to a number of projects creating training materials around this area.Last but not least, we’ve shared experiences with a consortium of US universities – including the Universities of California, Virginia, and Illinois, and the Smithsonian Institution – which has helped them to shape their own DMP Tool.
These tables show the templates we’ve developed or are in the process of developing. I won’t go through them all now, but the slides will be available for later perusal.
And more templates are being developed all the time. If you’d like to talk about creating one for your institution or organisation, either catch me afterwards or drop me an email.
So that’s a pretty good high-level summary of what we’ve done in the data management planning area over the past four years or so.We’d like to end with a quick outline of the DCC’s institutional engagement programme, the major job of work that Sarah and I (and about a dozen other colleagues) are currently involved in. From last Autumn until next Spring – UK seasons, so the other way around for colleagues in New Zealand! – the DCC has been funded by the Higher Education Funding Council for England (HEFCE) to support eighteen HEIs in increasing their institutional data management capabilities. We’re working with a range of institutional types and sizes, from research intensive ancient universities, to new universities and small specialist institutions (e.g. art colleges). The way this works is we first of all make contact with someone already interested in this area, often in the Library, and through them we approach a senior academic, usually at Vice Principal level or equivalent, to make the case for working more concertedly in this area. Once an agreement is reached, the institution selects from a ‘menu’ of tools and services, e.g. (next slide)
Developing a Data Management StrategyDCC services to support aspects of the research and data management lifecycle, as given in Column 3, andThe tools to support different strands of this (some tools are simply utilised out of the box, others we can provide help and training with, and others – such as DMP Online – can be customised and tailored to match individual institutions’ requirements more closely.
Similarly, DMP Online can also be used in conjunction with other tools that support the data management/curation lifecycle, be these DCC tools or tools from other sources.
And at an information exchange level, here’s what we can do. Plans can be exported in a variety of formats, for human and/or machine readerships, and…
… the tool can link to these types of external systems using a variety of standards and protocols. Of course, this list is not exhaustive, and if you see an opportunity for linking DMP Online with other tools we might not have considered, let us know: the API will probably make it possible.
So in conclusion, we see the data management plan as a multi-purpose instrument – communication and context – and one that can bring together, if not level, the various stakeholder groups in the research data management endeavour.
Reversing the hydra metaphor somewhat, we hold that research is more than the sum of its parts, and when data management planning acts to facilitate communication for ensuring smooth and accurate interactions, it also serves as a way to bring it all together.