This document provides an overview of research data management best practices. It discusses developing a data management plan, data storage and backup options, data sharing and preservation, and compliance with funder policies. Key points covered include writing a DMP, using structured file formats, having robust backup processes, choosing a trusted repository, and making data FAIR (findable, accessible, interoperable, and reusable).
Providing support and services for researchers in good data governanceRobin Rice
The University of Edinburgh provides support and services to help researchers with good data governance. This includes a research data policy, research data service with various tools across the data lifecycle, and a data safe haven for sensitive data. The research data service offers centralized storage, version control, collaboration tools, and repositories for sharing data openly or long-term retention. Training and outreach aim to educate researchers on topics like data management plans, sensitive data, and GDPR compliance.
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | EUDAT
This webinar discusses research data management. It explains why managing data is important for reproducibility, avoiding data loss, and meeting funder requirements. It outlines Horizon 2020's requirements for open data and describes services from EUDAT and OpenAIRE that can help with the entire data lifecycle from creation to long-term preservation and sharing. The webinar covers best practices like creating data management plans, metadata, using standards, licensing, and selecting repositories to archive and share research data.
OU Library Research Support webinar: Working with research dataIzzyChad
Slides from a webinar delivered on 31st January 2018 for OU research staff and students. Covers practical strategies for managing research data, including policies, file naming, information security, metadata and working with sensitive data.
This document provides guidance on writing successful data management plans (DMPs). It explains that DMPs are required by many funders to anticipate and avoid data management problems. The document outlines the key sections to include in a DMP, such as data collection, documentation, storage and sharing. It recommends keeping a DMP simple, seeking advice, and ensuring plans are feasible. Tools like DMPOnline can help write DMPs according to different funder requirements.
Research Data Management: An Introduction to the BasicsOpenExeter
This document provides an introduction to research data management best practices. It discusses why managing data is important both in the short and long term, including increasing efficiency, meeting requirements, and allowing others to build on your research. It covers topics such as data storage, backup, organization, metadata, ethics, funder policies, dissemination, and support resources. The overall message is that following data management practices increases productivity and helps preserve and share data for future research.
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Securing, storing and enabling safe access to dataRobin Rice
Invited talk as part of Westminster Insight Research Data Management Forum, https://www.westminsterinsight.co.uk/event/3416/Research_Data_Management_Forum
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
Providing support and services for researchers in good data governanceRobin Rice
The University of Edinburgh provides support and services to help researchers with good data governance. This includes a research data policy, research data service with various tools across the data lifecycle, and a data safe haven for sensitive data. The research data service offers centralized storage, version control, collaboration tools, and repositories for sharing data openly or long-term retention. Training and outreach aim to educate researchers on topics like data management plans, sensitive data, and GDPR compliance.
Research Data Management Introduction: EUDAT/Open AIRE Webinar| www.eudat.eu | EUDAT
This webinar discusses research data management. It explains why managing data is important for reproducibility, avoiding data loss, and meeting funder requirements. It outlines Horizon 2020's requirements for open data and describes services from EUDAT and OpenAIRE that can help with the entire data lifecycle from creation to long-term preservation and sharing. The webinar covers best practices like creating data management plans, metadata, using standards, licensing, and selecting repositories to archive and share research data.
OU Library Research Support webinar: Working with research dataIzzyChad
Slides from a webinar delivered on 31st January 2018 for OU research staff and students. Covers practical strategies for managing research data, including policies, file naming, information security, metadata and working with sensitive data.
This document provides guidance on writing successful data management plans (DMPs). It explains that DMPs are required by many funders to anticipate and avoid data management problems. The document outlines the key sections to include in a DMP, such as data collection, documentation, storage and sharing. It recommends keeping a DMP simple, seeking advice, and ensuring plans are feasible. Tools like DMPOnline can help write DMPs according to different funder requirements.
Research Data Management: An Introduction to the BasicsOpenExeter
This document provides an introduction to research data management best practices. It discusses why managing data is important both in the short and long term, including increasing efficiency, meeting requirements, and allowing others to build on your research. It covers topics such as data storage, backup, organization, metadata, ethics, funder policies, dissemination, and support resources. The overall message is that following data management practices increases productivity and helps preserve and share data for future research.
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATTony Ross-Hellauer
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
Securing, storing and enabling safe access to dataRobin Rice
Invited talk as part of Westminster Insight Research Data Management Forum, https://www.westminsterinsight.co.uk/event/3416/Research_Data_Management_Forum
Management of research data specifically for Engineering and Physical Science. Delivered by Stuart Macdonald at the "Support for Enhancing Research Impact" meeting at the University of Edinburgh on 22 June 2016.
This presentation was delivered at IT Services, University of Oxford on 2014-05-28, as part of the 'Things To Do With Data' series of lunchtime talks. It offers an overview of resources available for management and support staff whose responsibilities include planning and implementing data management strategies.
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.
A collaborative approach to "filling the digital preservation gap" for Resear...Jenny Mitcham
A presentation given by Jenny Mitcham at the Northern Collaboration Conference on 10th September 2015 at Leeds. It describes work underway in the "Filling the Digital Preservation Gap" project using Archivematica to preserve research data
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.
The document discusses open data and data sharing, including defining open data, the benefits of open data, overcoming barriers to opening data such as concerns about scooping and sensitive data, best practices for making data open through formats, licensing and description, and the role of research databases and data citation in promoting open data.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-11-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This document discusses licensing research data for reuse. It begins by providing a scenario where a user has downloaded a dataset but is unsure what they can do with the data due to licensing. It then discusses that licensing is critical to enabling data reuse and citation. It provides information on AusGOAL, the Australian open access and licensing framework, and notes it is recommended for data publishing by ANDS partners. It also includes links to licensing guides and FAQs. In summary, the document emphasizes the importance of data licensing for enabling reuse and outlines Australia's recommended licensing system.
This slideshow was used in a data management planning course taught at IT Services, University of Oxford, on 2016-11-09. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This document discusses sharing research data. It describes the Data Services Center, which provides data services including finding and providing access to datasets. It notes that funders and publishers require data sharing, and that shared data receives more citations. It recommends sharing the minimum data needed to reproduce results, and considering timing, usability and granularity of data sharing. For sharing methods, it recommends using disciplinary or general repositories like UR Research, Dryad and REACTUR, which provide long-term preservation and access. Workshops and help are available for data management and sharing.
Research data management at TU EindhovenLeon Osinski
The document discusses research data management at TU Eindhoven. It outlines the long process of developing RDM practices since 2008. It describes the current organization and governance structure for RDM. Key external requirements for RDM from funders, regulations, and integrity standards are also summarized. The document concludes by outlining RDM support services available and the benefits of good RDM practices.
The document summarizes a workshop on planning for research data management. It discusses what research data management is, including definitions and lifecycle models. It emphasizes the importance of planning for RDM from the beginning of a research project, including developing a data management plan that addresses data collection, documentation, storage, sharing, and long-term preservation. The workshop also covered naming conventions, file formats, metadata, and tools and resources available to support RDM.
Getting to grips with research data management Wendy Mears
This document provides an overview of research data management. It defines research data management and discusses its importance. It also outlines the data lifecycle model and provides guidance on sharing data, working with data, planning for data management, and useful resources for research data management. The document aims to help researchers effectively manage the data created throughout the research process.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
The document provides an introduction to research data management planning, explaining what a data management plan is, what it should include, and tools and resources available for creating a plan. It discusses the key components of a data management plan such as describing the project and data, handling the data during the project, documentation, long-term preservation, and meeting requirements. Finally, it provides examples of planning tools and resources for developing a data management plan.
What funders want you to do with your dataLeon Osinski
Funders want researchers to 1) deposit the relevant data from their research in an approved repository to make it FAIR (Findable, Accessible, Interoperable, Reusable), 2) make the data openly available whenever possible, and 3) write a Data Management Plan describing how they will manage their data during and after the project. Funders require depositing data in repositories to enable reuse, making data open access "as open as possible, as closed as necessary", and having a Data Management Plan that addresses reuse according to FAIR principles.
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
This presentation was delivered at IT Services, University of Oxford on 2014-05-28, as part of the 'Things To Do With Data' series of lunchtime talks. It offers an overview of resources available for management and support staff whose responsibilities include planning and implementing data management strategies.
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.
A collaborative approach to "filling the digital preservation gap" for Resear...Jenny Mitcham
A presentation given by Jenny Mitcham at the Northern Collaboration Conference on 10th September 2015 at Leeds. It describes work underway in the "Filling the Digital Preservation Gap" project using Archivematica to preserve research data
Writing successful Data Management Plansdancrane_open
The document discusses writing successful data management plans (DMPs). It explains that a DMP is a project document that describes how data will be collected, stored, backed up, archived, and accessed. It provides guidance on what to include in a DMP, such as data collection methods, documentation, ethics, storage, sharing, and responsibilities. It recommends consulting advice and using online tools like DMP Online to help write funder-compliant DMPs.
This slideshow was used at a lunchtime session delivered at the Humanities Division, University of Oxford, on 2014-05-12. It provides a general overview of some key data management topics, plus some pointers on where to find further information.
The document discusses open data and data sharing, including defining open data, the benefits of open data, overcoming barriers to opening data such as concerns about scooping and sensitive data, best practices for making data open through formats, licensing and description, and the role of research databases and data citation in promoting open data.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-11-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
This document discusses licensing research data for reuse. It begins by providing a scenario where a user has downloaded a dataset but is unsure what they can do with the data due to licensing. It then discusses that licensing is critical to enabling data reuse and citation. It provides information on AusGOAL, the Australian open access and licensing framework, and notes it is recommended for data publishing by ANDS partners. It also includes links to licensing guides and FAQs. In summary, the document emphasizes the importance of data licensing for enabling reuse and outlines Australia's recommended licensing system.
This slideshow was used in a data management planning course taught at IT Services, University of Oxford, on 2016-11-09. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
This document discusses sharing research data. It describes the Data Services Center, which provides data services including finding and providing access to datasets. It notes that funders and publishers require data sharing, and that shared data receives more citations. It recommends sharing the minimum data needed to reproduce results, and considering timing, usability and granularity of data sharing. For sharing methods, it recommends using disciplinary or general repositories like UR Research, Dryad and REACTUR, which provide long-term preservation and access. Workshops and help are available for data management and sharing.
Research data management at TU EindhovenLeon Osinski
The document discusses research data management at TU Eindhoven. It outlines the long process of developing RDM practices since 2008. It describes the current organization and governance structure for RDM. Key external requirements for RDM from funders, regulations, and integrity standards are also summarized. The document concludes by outlining RDM support services available and the benefits of good RDM practices.
The document summarizes a workshop on planning for research data management. It discusses what research data management is, including definitions and lifecycle models. It emphasizes the importance of planning for RDM from the beginning of a research project, including developing a data management plan that addresses data collection, documentation, storage, sharing, and long-term preservation. The workshop also covered naming conventions, file formats, metadata, and tools and resources available to support RDM.
Getting to grips with research data management Wendy Mears
This document provides an overview of research data management. It defines research data management and discusses its importance. It also outlines the data lifecycle model and provides guidance on sharing data, working with data, planning for data management, and useful resources for research data management. The document aims to help researchers effectively manage the data created throughout the research process.
Research data management involves organizing data throughout the research lifecycle to ensure reliable verification of results and allow new research. It includes developing policies, storing and organizing data appropriately, and addressing requirements for working with personal or sensitive information. The Open University provides support and resources to help researchers effectively manage their data, including training, data storage options, and a research data repository.
This document provides an overview of research data management. It begins by defining research data and research data management. It discusses the data lifecycle and importance of planning for data management. A key part of planning is creating a Data Management Plan which covers topics like data collection, documentation, ethics, storage, sharing, and responsibilities. The document provides guidance on each of these topics to help researchers effectively manage their research data.
The document provides an introduction to research data management planning, explaining what a data management plan is, what it should include, and tools and resources available for creating a plan. It discusses the key components of a data management plan such as describing the project and data, handling the data during the project, documentation, long-term preservation, and meeting requirements. Finally, it provides examples of planning tools and resources for developing a data management plan.
What funders want you to do with your dataLeon Osinski
Funders want researchers to 1) deposit the relevant data from their research in an approved repository to make it FAIR (Findable, Accessible, Interoperable, Reusable), 2) make the data openly available whenever possible, and 3) write a Data Management Plan describing how they will manage their data during and after the project. Funders require depositing data in repositories to enable reuse, making data open access "as open as possible, as closed as necessary", and having a Data Management Plan that addresses reuse according to FAIR principles.
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 14, 2016...EUDAT
| www.eudat.eu | 2nd Session: July 14, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
Research Data Management: An Introductory Webinar from OpenAIRE and EUDATOpenAIRE
OpenAIRE and EUDAT co-present this webinar which aims to introduce researchers and others to the concept of research data management (RDM). As well as presenting the benefits of taking an active approach to research data management – including increased speed and ease of access, efficiency (fund once, reuse many times), and improved quality and transparency of research – the webinar will advise on strategies for successful RDM, resources to help manage data effectively, choosing where to store and deposit data, the EC H2020 Open Data Pilot and the basics of data management, stewardship and archiving.
Webinar recording available: http://www.instantpresenter.com/eifl/EB57D6888147
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.
- Organizations are facing challenges with rapidly growing data volumes, increasing compliance needs, and fixed budgets. On average, 70% of data is unused after 90 days.
- Lab Data Management Suite offers 4 ranges of products to address these challenges: 1) data analysis and decision making, 2) online data backup, 3) archiving solutions, and 4) secure document sharing solutions.
- The suite provides automated, scalable data management to reduce costs, improve compliance, and ensure business continuity and disaster recovery through reliable data backup and recovery.
Research Data (and Software) Management at Imperial: (Everything you need to ...Sarah Anna Stewart
A presentation on research data management tools, workflows and best practices at Imperial College London with a focus on software management. Presented at the 2017 session of the HPC Summer School (Dept. of Computing).
This document discusses data management plans (DMPs), which are brief plans that define how research data will be created, documented, stored, shared, and preserved. DMPs are often required as part of grant applications. The document provides an overview of why DMPs are important, how they benefit researchers and institutions, and key aspects to address in a DMP such as data organization, stakeholders, and making data FAIR (findable, accessible, interoperable, and reusable). Examples of DMPs from real projects are also presented.
Rebecca Grant - Archiving and Digital Preservation (Figshare Fest)dri_ireland
Presentation given by Rebecca Grant, Digital Archivist with Digital Repository of Ireland, part of a workshop on Digital Archiving and Digital Preservation held as part of Figshare Fest in London, May 12th 2016. Figshare is an online digital repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. Its annual Figshare Fest is a chance to gather together institutional clients, advocates and friends to talk about open research.
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.
EUDAT & OpenAIRE Webinar: How to write a Data Management Plan - July 7, 2016|...EUDAT
| www.eudat.eu | 1st Session: July 7, 2016.
In this webinar, Sarah Jones (DCC) and Marjan Grootveld (DANS) talked through the aspects that Horizon 2020 requires from a DMP. They discussed examples from real DMPs and also touched upon the Software Management Plan, which for some projects can be a sensible addition
This slideshow was used in a Research Data Management Planning course taught at IT Services, University of Oxford, on 2014-10-27. It provides an overview of the elements of a data management plan, plus an introduction to some tools that can be used to build one.
Presentation given at the Consorcio Madrono conference on Data Management Plans in Horizon 2020 http://www.consorciomadrono.es/info/web/blogs/formacion/217.php
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.
Similar to Research Data Service geosciences 18oct2018 (20)
How the Research Data Service supports Open Research (aka Open Science) at the University of Edinburgh. Abridged slides used for presentation to Open Access Scotland meeting in Edinburgh on Wednesday 27th of March 2019.
The document discusses the experiences of running an institutional data repository at the University of Edinburgh. It provides context on the university and growing policies supporting research data management. It then describes the university's research data management program, which includes services for data management planning, active data infrastructure like a data repository called DataShare, and data stewardship. DataShare uses the DSpace platform and has seen growth in deposited items over the years. Challenges in running the repository include handling large files, facilitating uploads and downloads, assigning DOIs, and promoting a culture change around data sharing.
A comparison of the experience of University of Edinburgh Data Library staff of creating Open Educational Resources (OERs) for Research Data Management training using Xerte (to build MANTRA) compared to Coursera for the Research Data Management and Sharing MOOC. #RDMSmooc #OER16 This presentation was a Lightning Talk by Pauline Ward at the OER16 conference on 19 April 2016.
Slides for presentation and live demo to School of Philosophy, Psychology and Language Sciences on the benefits of learning about good practice in research data management with MANTRA, and sharing data via DataShare.
Why Research Data Management is important: Workshop with graduate students of...University of Edinburgh
This document discusses research data management (RDM). It defines RDM as caring for data throughout its lifecycle to facilitate access, preservation, and adding value. Good RDM practices include data management planning, documentation, storage, sharing, and preservation. The document outlines drivers for proper RDM, including funder policies that require data sharing, and benefits such as validating results, increasing research impact, and receiving citations. Overall, the document promotes RDM best practices for researchers.
DataShare - Pauline Ward to University of Edinburgh School of Chemistry - 3 f...University of Edinburgh
Talk targeted at researchers at the University of Edinburgh, explaining how they can use DataShare to publish their research results, and some of the benefits of doing so.
Presentation about data sharing and research data management for staff and students of Edinburgh College of Art given by Pauline Ward, Data Library Assistant.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
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Slideshare: http://www.slideshare.net/PECBCERTIFICATION
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
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.)
3. Data management is a general term covering how you organise, structure,
store and care for the data used or generated during the lifetime of a
research project.
What is research data management?
4. Write a Data Management Plan
Agree data organisation and file formats
Document, and create metadata, from the start
Have robust back-up and quality assurance processes
Plan ahead for preservation and sharing
Include all RDM costs in grant applications
4
How to achieve good RDM
5. Nine Research Councils including: AHRC, BBSRC, EPSRC, ESRC, Innovate
UK, MRC, NERC, Research England, and STFC
All funding recipients expected to comply with Common Principles on
Data policy
Each council has it’s own RDM policy and DMP template(s) – similar
but different
All required funds for RDM MUST be included in grant applications to
these funders
https://www.ukri.org/
UK Research & Innovation (UKRI) funders
6. NERC Data Policy
The NERC Data Policy sets the RDM ground
rules that NERC-funded researchers must
follow.
The Data Policy details a commitment to support
the long-term availability of environmental data,
and also outlines roles and responsibilities of
those involved in the collection and management
of environmental data.
Central to the policy is that NERC-funded
scientists must make their data openly available
within two years of collection, and deposit it in a
NERC Data Centre for long-term preservation.
http://www.nerc.ac.uk/research/sites/data/
7. Revised version of the 2017 work programme “Open Research Data” pilot has been
extended to cover all the thematic areas of Horizon 2020.
Open access to research data thereby becomes applicable by default in Horizon
2020. However the Commission also recognises that there are good reasons to keep
some or even all research data generated in a project closed.
A DMP is required for all projects participating in the extended ORD pilot, unless
they opt out of the ORD pilot. However, projects that opt out are still encouraged to
submit a DMP on a voluntary basis.
In general terms, your research data should be 'FAIR', that is Findable, Accessible,
Interoperable and Re-usable.
http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-issues/open-access-data-management/data-management_en.htm
European Commission – H2020
9. Whether compulsory or not, developing a DMP can help to:
Make informed decisions to anticipate & avoid problems.
Avoid duplication, data loss and security breaches.
Develop procedures early on for consistency.
Ensure data are accurate, complete, reliable and secure.
Save time and effort to make everyone’s lives easier.
Why is it important to have a DMP?
10. A good DMP will answer all the following questions:
What data will be collected or created?
How the data will be documented and described?
Where the data will be stored?
Who will be responsible for data security and backup?
Which data will be shared and/or preserved?
How the data will be shared and with whom?
How much will all of the above cost?
What should a DMP include?
11. Free and open web-based tool to help researchers write plans:
https://dmponline.dcc.ac.uk/
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
DMPonline
12. Keep DMPs simple, short and specific, avoid jargon.
Seek advice - consult and collaborate.
Start early – don’t wait until the last minute!
The plan will - and should - change over the life of project. It is a living
document so needs updating regularly.
Always contact the funder when you need clarification or further
information.
Include all expected costs in the data management costing, esp. extra
storage space for active data, data deposit / long-term storage etc.
Tips to share
14. Data storage - basic principles
Use managed, network services
whenever possible to ensure:
Regular back-up
Data Security
Accessibility
Avoid using portable HD’s, USB memory
sticks, CD’s, or DVD’s to mitigate:
Data loss due to damage, failure, or
theft.
Quality control issues due to version
confusion.
Unnecessary security risks. Digital Preservation Coalition’s new
promotional USB stick (dpcoline.org):
https://twitter.com/digitalfay/status/41
1444578122600450/photo/1
15. Off-network storage & back-up
Make at least 3 copies of the data if not
using managed services:
on at least 2 different media,
keep storage devices in separate locations
with at least 1 offsite,
check they work regularly,
ensure everyone knows the process and
follows it.
Ensure they can keep track of different
versions of data, especially when
backing-up to multiple devices.
One copy = risk of data loss
16. DataStore provides active storage for all research staff and postgrad students.
RDM DataStore provides a free ‘at point of’ use allocation (currently 0.5TB).
Additional capacity can be purchased for £175 per TB per annum.
Support for very large data (>1PB) hosting available.
This facility also provides a data services cloud for hosting specific data access
mechanisms, or for integrating additional computational infrastructure.
Accessing DataStore:
DataStore
http://www.ed.ac.uk/information-services/computing/desktop-personal/network-shares/
17. 'Dropbox-like’ file-hosting service for
non-sensitive data
Allows sharing and synchronisation of data.
Sync using local clients.
Share using local clients or web URL with colleagues anywhere.
20GB free storage or map to personal / group data on DataStore as required.
Using the ownCloud open source application.
www.ed.ac.uk/is/datasync
DataSync
18. OneDrive For Business is cloud-based file storage for all staff and students
as part of the Office 365 suite, allowing you to store and access personal
and work files from anywhere.
Upload or sync any document from your local computer to OneDrive. It will then be available to you
from any computer, tablet or phone.
Users receive 1 Terabyte (TB) of storage on OneDrive to store all personal and University documents.
Any files created in Office Online are automatically backed up in your OneDrive space.
Share and work documents with friends and colleagues both inside and outside the University (latter
may require Microsoft login).
Easily recover deleted documents or roll back to previous versions.
https://www.ed.ac.uk/information-services/computing/comms-and-collab/office365/onedrive-for-business
OneDrive for Business
19. In the event of a data breach the Unit staff must comply with UoE guidance
on breach management:
https://www.ed.ac.uk/records-management/guidance/data-
protection/breach-management
Breaches must be reported immediately to the University Data Protection
Officer.
The Unit IG Lead and Unit Director must also be informed, and there may be
additional requirements in place for specific projects if third party data is
involved.
A form must be completed with as much detail as possible for each breach.
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Reporting data breaches
20. A “Walled Garden” service to store and analyse sensitive data.
Open to all UoE researchers at the moment (and partners in future).
Cutting-edge processes and technology.
Standard documentation sets for researchers.
Consultancy service for ongoing guidance, training and audit.
Build for ISO 27001 compliance – certification to follow .
Costs £8500 per annum. Cost should be built into grant application and
DMP.
Currently working with 5 pilot projects from CAHSS and CMVM.
Data Safe Haven
21. Encryption is the process of converting data into an unreadable code. You must
have access to a password or a secret encryption key to be able to read an
encrypted file.
Encryption comes in strengths. A higher key size takes exponentially longer to
crack. A key size of 8 takes 0 milliseconds to crack. A key size of 128 takes 150
trillion years to crack.
For sensitive data, it is advisable to follow NHS Information Governance Guidelines
to protect person identifiable and sensitive information, using an encryption
algorithm that supports a minimum key length of 256 bits, such as AES 256, 3DES,
or Blowfish.
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Encryption
22. Several options are available to protect personal and sensitive data using encryption:
Encrypt a disk in its entirety: Full Disk Encryption may be applied in order to protect all data held
on the drive. Use for portable HDs, USB sticks, etc.
Encrypt one or more partitions on the disk: Personal and sensitive data can be held on the
encrypted partition, while the anonymised material can be held on the un-encrypted partition.
Create an encrypted container (archive): A file that, when accessed using appropriate software,
can be opened and used in the same way as a physical drive.
Encryption advice from IS:
https://www.ed.ac.uk/infosec/how-to-protect/encrypting
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Options for encrypting data
24. Data Preservation is the key to the long term existence and future
accessibility of research data
Needs thinking about it at the planning stage
Requires a trusted repository
Data Sharing is making research data available for others to reuse and
build upon.
It is not giving data away!
What do we mean by preserve and share?
25. Document data clearly and comprehensively
Apply consistent quality assurance processes from the outset
Choose file formats that are open, and accessible
Select an appropriate repository or archive
Deposit data in the chosen repository
How to preserve data
26. When choosing a repository consider:
Does the funder require data to be offered to a specific repository?
Is the repository sustainable?
What will be done with the data if the repository closes down?
How much will it cost? Are costs upfront or annual?
Will data be easily accessible to you and to third parties?
How does the repository promote discoverability?
Does the repository record when data is accessed, downloaded, or cited so you get
recognition for your work?
Choosing a data repository
27. Which NERC Data Centre?
British Oceanographic Data Centre (Marine) http://www.bodc.ac.uk/
Centre for Environmental Data Analysis http://www.ceda.ac.uk/
British Atmospheric Data Centre (Atmospheric)
NERC Earth Observation Data Centre (Earth observation)
UK Solar System Data Centre (Solar and space physics)
Environmental Information Data Centre (Terrestrial and freshwater)
http://www.ceh.ac.uk/data
National Geoscience Data Centre (Geoscience) http://www.bgs.ac.uk/services/ngdc/
Polar Data Centre (Polar and cryosphere) https://www.bas.ac.uk/data/uk-pdc/
Archaeology Data Service (NERC-funded research in Science-Based Archaeology)
http://archaeologydataservice.ac.uk/
NERC Data Catalogue Service (integrated, searchable catalogue NERC's data centres):
https://csw-nerc.ceda.ac.uk/geonetwork/srv/eng/catalog.search#/home
28. Edinburgh DataShare
Edinburgh DataShare is the University’s
OA multi-disciplinary data repository
hosted by the Data Library :
http://datashare.is.ed.ac.uk
Assists researchers who want to share
their data, get credit for data
publication, and preserve their data for
the long-term (DOI, licence, citation)
It can help researchers comply with
funder requirements to preserve and
share your data and complies with
Edinburgh’s RDM Policy
http://datashare.is.ed.ac.uk
29. A service to ensure integrity and long-term retention of golden copy
research data.
The DataVault will allow data creators at the University of Edinburgh to:
Store their data safely in the University’s archival storage platform
Link this data to a record in Pure without having to re-enter any of the data
Receive a DOI for the data
Comply with funder and University requirements
Be confident that their data will be there for them, or their nominated
delegate, to reuse in the future as and when required.
Launching soon.
See https://www.ed.ac.uk/is/research-support/datavault for charges etc
DataVault
30. An external repository may be more suitable for data if:
The funder requires or suggests using a particular repository;
If there is an established national or international repository for the discipline;
If it is necessary to implement access controls to protect the data
An international register of research data repositories is maintained at
www.re3data.org as part of Datacite.
External repositories
31. Metadata: Describing data in PURE
Describe all datasets (creating
metadata) in PURE (datasets field):
http://edin.ac/1OF8Auq
Doing this will help datasets to be
discovered, accessed, and reused as
appropriate.
Feeds directly into REF!
Edinburgh Research Explorer:
http://www.research.ed.ac.uk
33. General RDM queries can be sent to data-support@ed.ac.uk
RDM website: http://www.ed.ac.uk/is/research-data-service
RDM blog: http://datablog.is.ed.ac.uk
Research data support
34. RDM Training
RDM training at the University of Edinburgh:
Managing your research data: why is it important and what should you do?
Good Practice in Research Data Management
Creating a Data Management Plan (DMP) for your grant application
Working with personal and sensitive research data
Handling data with SPSS
www.ed.ac.uk/information-services/research-support/research-data-service/training
35. MANTRA
MANTRA is an internationally recognized
self-paced online training course developed
by the Data Library Team for PGR’s and
early career researchers in data
management issues.
Anyone doing a research project will
benefit from at least some part of the
training (and you can pick and choose).
Data handling exercises with open datasets
in 4 analytical packages: R, SPSS, NVivo,
ArcGIS. http://datalib.edina.ac.uk/mantra
36. Information Security: https://www.ed.ac.uk/infosec
Records Management: https://www.ed.ac.uk/records-management
Institute of Academic Development: https://www.ed.ac.uk/institute-
academic-development/research-roles
Edinburgh Innovations: https://www.ed.ac.uk/edinburgh-innovations
Other places to get support