This presentation was given by Joy Davidson from the Digital Curation Centre at the KAPTUR training event held on Monday 19th November and supported by DCC through the Institutional Engagement project.
The document discusses research data management activities, roles, and requirements. It outlines the perspectives of researchers and institutions regarding data management. Requirements include technical infrastructure, policies, and human support. Key activities involve gathering requirements, identifying motivations and risks, assessing preparedness, and developing data management plans. Roles span researchers, administrators, and central services like libraries and computing.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2016-02-03. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
This slideshow was used in an Introduction to Research Data Management course for the Social Sciences Division, University of Oxford, on 2015-05-27. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
This document provides an overview of preparing research data for long-term preservation and sharing. It discusses defining data, following data management policies, documenting data with metadata, securely storing data through backups and appropriate file formats and storage media. It also addresses sharing data by depositing in repositories, making data publicly available through services like Figshare, and using licenses. The document emphasizes planning for data management from the start of a research project through drafting a data management plan and seeking advice from university support services.
The document discusses research data management (RDM) and the importance of good RDM practices. It provides definitions of research data, discusses funder requirements and drivers for RDM. It also outlines the Digital Curation Centre's role in supporting RDM and some of the activities at the University of the Arts London to develop their RDM policies, services and training.
Supporting Libraries in Leading the Way in Research Data ManagementMarieke Guy
Marieke Guy, Institutional Support Officer, Digital Curation Centre, UKOLN, University of Bath, UK presents on Supporting Libraries in Leading the Way in Research Data Management at Online Information, London 20th -21st November 2012
The document discusses research data management activities, roles, and requirements. It outlines the perspectives of researchers and institutions regarding data management. Requirements include technical infrastructure, policies, and human support. Key activities involve gathering requirements, identifying motivations and risks, assessing preparedness, and developing data management plans. Roles span researchers, administrators, and central services like libraries and computing.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2016-02-03. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
This slideshow was used in an Introduction to Research Data Management course for the Social Sciences Division, University of Oxford, on 2015-05-27. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
This document provides an overview of preparing research data for long-term preservation and sharing. It discusses defining data, following data management policies, documenting data with metadata, securely storing data through backups and appropriate file formats and storage media. It also addresses sharing data by depositing in repositories, making data publicly available through services like Figshare, and using licenses. The document emphasizes planning for data management from the start of a research project through drafting a data management plan and seeking advice from university support services.
The document discusses research data management (RDM) and the importance of good RDM practices. It provides definitions of research data, discusses funder requirements and drivers for RDM. It also outlines the Digital Curation Centre's role in supporting RDM and some of the activities at the University of the Arts London to develop their RDM policies, services and training.
Supporting Libraries in Leading the Way in Research Data ManagementMarieke Guy
Marieke Guy, Institutional Support Officer, Digital Curation Centre, UKOLN, University of Bath, UK presents on Supporting Libraries in Leading the Way in Research Data Management at Online Information, London 20th -21st November 2012
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
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.
Open Access and Research Data ManagementOpenExeter
This document provides an overview of research data management and open access. It discusses why managing data is important for increasing efficiency, meeting requirements, and allowing others to build on research. It covers topics like data storage, backup, organization, selection, metadata, copyright, ethics, data management planning, and disseminating data through repositories. The document also introduces open access as a movement to make research openly available, how it works, funder policies on open access, the benefits of open access, and how to comply with funder policies through repositories or open access journals.
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.
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Facing the data challenge: Developing data policy and servicesMarieke Guy
This document discusses developing research data management policies and services. It outlines that many stakeholders, including funders, researchers, and data centers, are responsible for research data management. It describes the typical components of a research data service, including tools, support staff, metadata, storage, and policies. The document provides examples of research data storage and archiving services from various universities. It discusses developing guidance, training, and disciplinary resources for research data management. The document emphasizes the importance of research data management policies and roadmaps to align with funder expectations and provides suggestions for developing plans.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-02-22. 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 slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-05-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
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.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2014-02-26. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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.
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.
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.
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.
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.
Why science needs open data – Jisc and CNI conference 10 July 2014Jisc
This document discusses the importance of open data in science. It provides 4 key reasons why open data is important:
1) It allows for identification of patterns in large datasets that could not be found otherwise.
2) It enables data modeling through iterative integration of initial models with observational data.
3) It facilitates deeper integration and analysis of diverse linked datasets.
4) It supports exploitation of networked sensor data through acquisition, integration, analysis and feedback.
However, open data needs to be "intelligently open" through being discoverable, accessible, intelligible, assessable and reusable to realize its full potential. Mandating such intelligent open data is important to drive an open data infrastructure ecology.
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.
The document discusses research processes in visual arts. It notes that visual arts research is non-linear and encompasses various practices like fieldwork, workshops, and writing. Researchers gather heterogeneous data including notes, sketches, interviews, and physical materials. The research process blurs boundaries between process, output, and data. Factors that support research include social communities, resources like libraries, and integration of different roles. Challenges include digital storage, archiving, and organizing physical materials.
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
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.
Open Access and Research Data ManagementOpenExeter
This document provides an overview of research data management and open access. It discusses why managing data is important for increasing efficiency, meeting requirements, and allowing others to build on research. It covers topics like data storage, backup, organization, selection, metadata, copyright, ethics, data management planning, and disseminating data through repositories. The document also introduces open access as a movement to make research openly available, how it works, funder policies on open access, the benefits of open access, and how to comply with funder policies through repositories or open access journals.
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.
This slideshow was used in a Preparing Your Research Data for the Future course taught in the Medical Sciences Division, University of Oxford, on 2015-06-08. It provides an overview of some key issues, focusing on long-term data management, sharing, and curation.
Facing the data challenge: Developing data policy and servicesMarieke Guy
This document discusses developing research data management policies and services. It outlines that many stakeholders, including funders, researchers, and data centers, are responsible for research data management. It describes the typical components of a research data service, including tools, support staff, metadata, storage, and policies. The document provides examples of research data storage and archiving services from various universities. It discusses developing guidance, training, and disciplinary resources for research data management. The document emphasizes the importance of research data management policies and roadmaps to align with funder expectations and provides suggestions for developing plans.
This slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-02-22. 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 slideshow was used in a Preparing Your Research Material for the Future course for the Humanities Division, University of Oxford, on 2016-05-16. It provides an overview of some key issues, focusing on the long-term management of data and other research material, including sharing and curation.
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.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
This slideshow was used in an Introduction to Research Data Management course taught for the Mathematical, Physical and Life Sciences Division, University of Oxford, on 2014-02-26. It provides an overview of some key issues, looking at both day-to-day data management, and longer term issues, including sharing, and curation.
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.
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.
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.
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.
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.
Why science needs open data – Jisc and CNI conference 10 July 2014Jisc
This document discusses the importance of open data in science. It provides 4 key reasons why open data is important:
1) It allows for identification of patterns in large datasets that could not be found otherwise.
2) It enables data modeling through iterative integration of initial models with observational data.
3) It facilitates deeper integration and analysis of diverse linked datasets.
4) It supports exploitation of networked sensor data through acquisition, integration, analysis and feedback.
However, open data needs to be "intelligently open" through being discoverable, accessible, intelligible, assessable and reusable to realize its full potential. Mandating such intelligent open data is important to drive an open data infrastructure ecology.
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.
The document discusses research processes in visual arts. It notes that visual arts research is non-linear and encompasses various practices like fieldwork, workshops, and writing. Researchers gather heterogeneous data including notes, sketches, interviews, and physical materials. The research process blurs boundaries between process, output, and data. Factors that support research include social communities, resources like libraries, and integration of different roles. Challenges include digital storage, archiving, and organizing physical materials.
The document summarizes the outputs and findings of the KAPTUR project. It produced four main outputs: an environmental assessment report, technical analysis report, costing model, and pilot demonstration service. The technical analysis report analyzed 17 data management systems and recommended further analysis of four top systems. The pilot used EPrints, Figshare, and DataStage to test supporting visual arts research data. The project identified challenges for researchers in managing and preserving their data.
This document summarizes a workshop held on December 12th, 2011 for the JISC Kultivate project. The workshop included updates on the Kultur II group and various JISC projects including Kultivate, eNova, and the new KAPTUR project. Presentations were given on Linked Data and managing research data in the arts. The Kultivate project was nearing completion and had produced several reports, toolkits and case studies. The new KAPTUR project aims to help arts institutions develop research data management policies and pilot systems.
The document outlines a conference on research data in the visual arts. It discusses the objectives of the KAPTUR project to investigate the nature of research data in the visual arts, develop appropriate policies and systems, and showcase good practices. The project aims to address challenges such as the varied nature of research outputs and lack of research data management infrastructure in arts institutions. The conference will include discussions on defining research data in the arts, policy adoption, infrastructure requirements, and next steps.
Introduction to research data managementMichael Day
Slides from a presentation given at the JIBS User Group / RLUK joint event "Demystifying research data: don't be scared, be prepared" held at the SOAS Brunei Gallery, London, 17 July 2012.
PIDs, Data and Software: How Libraries Can Support Researchers in an Evolving...Sarah Anna Stewart
Presentation given at the M25 Consortium of Academic Libraries, CPD25 Event on 'The Role of the Library in Supporting Research'. Provides an introduction to data, software and PIDs and a brief look at how libraries can enable researchers to gain impact and credit for their research data and software.
Building Research Data Management Services - Robin RiceIncisive_Events
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving library leadership. The document also discusses supporting researchers through training, guidance, and tools for data management planning and sharing. Potential additional library RDM services mentioned include data discovery, repositories, archiving, and applying metadata standards. Challenges for librarians expanding into this new area include finding time and developing new skills to support research data management.
Digital Curation 101 (University of Glamorgan)Michael Day
This document summarizes a presentation on research data management. It discusses the key activities, roles, requirements and drivers of RDM. Stakeholders include researchers, institutions, funding bodies and data repositories. Institutions are developing RDM policies, services and infrastructure to meet growing requirements from funders around data sharing and preservation. Research data management planning is important to address issues like data documentation, sharing, storage and long-term preservation.
The document provides background information on RDM services at the University of Edinburgh. It summarizes that EDINA and the University Data Library provide research data management support and online resources. It then overviews key RDM services including DataStore for active research data storage, DataShare for open data publication, and plans for a long-term DataVault archive. The document also discusses RDM training and the university's RDM policy implemented through a multi-phase roadmap.
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.
Managing Your Research Data for Maximum Impact -Rob Daley 300616_SharedRob Daley
This document provides an overview of best practices for managing research data. It discusses why data management is important given changing policies from funders that require making data openly available. It outlines challenges for researchers in managing data and provides guidance on developing a data management plan to address issues like data types, access, storage, and long-term preservation. The document also covers topics like formatting data, addressing legal and ethical concerns, publishing and citing data, and tools like ORCID and DOIs to help maximize the impact of research data.
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.
Building research data management services at the University of Edinburgh: a ...Robin Rice
This document discusses building research data management services from a data librarian's perspective. It defines research data management and outlines developing an institutional RDM policy involving researchers, librarians, and IT staff. The author discusses the University of Edinburgh's library-led RDM policy as an example. The document also covers supporting researchers through training, guidance, and tools for data management planning and sharing. It proposes additional library RDM services like data repositories, archiving, and metadata standards expertise. Challenges for librarians expanding into this new domain are also addressed.
Research Data Management in GLAM: Managing Data for Cultural HeritageSarah Anna Stewart
Presentation given at the 'Open Science Infrastructures for Big Cultural Data' - Advanced International Masterclass in Plovdiv, Bulgaria. Dec. 13-15, 2018
Imperial College London - journey to open scholarshipTorsten Reimer
Talk given at the 2016 Open Repositories conference in Dublin, Ireland. This paper follows the journey of a research intensive university towards making its outputs available openly, discusses approaches outlined above and identifies problems in the global scholarly communications landscape.
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.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
In order to be reused, research data must be discoverable.
The EPSRC Research Data Expectations* requires research organisations to maintain a data catalogue to record metadata about research data generated by EPSRC-funded research projects.
Universities are increasingly making research data assets available through repositories or other data portals.
The requirement for a UK research data discovery service has grown as universities become more involved in RDM and capacity develops.
The document summarizes the Jisc Managing Research Data Programme which aims to support universities in improving research data management. It discusses why managing research data is important, highlighting funder policies and the benefits of open data. It provides an overview of Jisc's activities including training projects, guidance resources, and funding for institutional infrastructure services and repositories. The presentation emphasizes the importance of institutional policies, support services, skills development and cultural change to effectively manage research data in line with funder expectations.
The document summarizes the process of raising the profile of research data management (RDM) at the University of Chichester (UCA) through their participation in the Kaptur Project. It describes conducting interviews and analysis to understand current RDM practices, developing an RDM policy through discussion and testing a repository model, and obtaining approval of the draft policy. It reflects on the project's successes in establishing RDM processes and importance of ongoing communication and collaboration around RDM.
This document summarizes Goldsmiths' efforts to develop a research data management policy. A working group was formed to review existing policies, discuss data storage and training. They drafted a policy addressing the research data lifecycle, responsibilities of researchers, and the college's role in preserving access to data. A data repository was also created. Key recommendations include identifying stakeholders, being practical, and tying the policy to the university's strategic goals. The overall aim is to improve research support through better research data management.
Dr. Robin Burgess developed a research data management policy for the Glasgow School of Art to raise awareness of the importance of managing research data. Burgess conducted interviews that found arts research data takes many complex forms and is difficult to define. A policy was created through collaboration and defined research data broadly. It addressed roles, preservation, and tools to support implementation. Challenges included building support and understanding of data management, but the policy provides guidance tailored to the arts.
The document summarizes the development of a research data management (RDM) policy at University of the Arts London (UAL). A working group was formed and conducted surveys and interviews to understand research practices and data types. They determined practice-based research has unique data needs. The group defined research data for visual arts and drafted a RDM policy. Training was provided and the policy was approved, establishing procedures for archiving research data and processes at UAL.
The document provides a template for institutions to develop business, financial, and sustainability plans to support research data management (RDM) best practices after the end of the JISC KAPTUR project. The template includes sections for background, objectives, stakeholders, strategic alignment, options appraisal, risk management, cost analysis, and evaluation. It is intended to help institutions outline how they will take RDM best practices forward and ensure ongoing support beyond the project lifespan.
This document discusses research data in the context of visual arts research. It defines research data, discusses its importance and challenges in the visual arts domain. Key points covered include the heterogeneous nature of visual arts data, principles of data curation and preservation, and the need for data management planning and assistance with archiving. Examples of types of visual arts research data are provided.
This document summarizes drivers for research data management in UK higher education, including policies from research funders like RCUK and AHRC. It also describes resources for supporting research data management, such as the Jisc Managing Research Data programme, the Digital Curation Centre (DCC), and projects funded through the Jisc programme like CAiRO and KAPTUR. The DCC provides guidance on data management planning, training, and curation best practices. Research data is broadly defined as any digital evidence used or created during the research process to generate new knowledge.
Presentation given by Robin Burgess, KAPTUR Project Officer for The Glasgow School of Art, at the DCC Roadshow Northeast Scotland, University of Dundee, 5th December 2012
This document provides guidance on questions to consider when developing a technical plan or data management plan for a research funding application. It covers four sections: (1) digital outputs and technologies used in the project; (2) technical methodology including standards, formats, hardware/software, and data processing; (3) technical support and experience; and (4) preservation, sustainability and access including preservation methods, continued access, and intellectual property considerations. The questions aim to ensure digital outputs are well-planned, fit-for-purpose, and preserved/accessible after the project ends.
Presentation given by Leigh Garrett about the KAPTUR project and the importance of effective RDM practice at the UCA RDM training workshop, 16th January 2013.
Presentation given by Anne Spalding, KAPTUR Project Officer for University for the Creative Arts as part of the UCA RDM training workshop given on 16th January 2013.
This document outlines a method for estimating the IT costs of research data management systems over 10 years. It describes costing two types of systems: an externally hosted cloud-based system (Amazon Web Services) and an internally hosted open source system. Key factors that are costed include storage, hardware, software, staffing, and annual inflation. The document also notes some limitations, such as development costs being excluded and cloud pricing changing over time. An accompanying Excel spreadsheet model allows entering storage and other variables to calculate total costs for each system.
The document summarizes the agenda and goals of the KAPTUR Project Steering Group meeting on January 8th, 2013 in London. The project aims to investigate research data in the visual arts, apply technology to support its collection and preservation, and develop policies and case studies to share best practices. The agenda covers updates on partner reports, technical demonstrations, sustainability, and conclusion of the project.
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إضغ بين إيديكم من أقوى الملازم التي صممتها
ملزمة تشريح الجهاز الهيكلي (نظري 3)
💀💀💀💀💀💀💀💀💀💀
تتميز هذهِ الملزمة بعِدة مُميزات :
1- مُترجمة ترجمة تُناسب جميع المستويات
2- تحتوي على 78 رسم توضيحي لكل كلمة موجودة بالملزمة (لكل كلمة !!!!)
#فهم_ماكو_درخ
3- دقة الكتابة والصور عالية جداً جداً جداً
4- هُنالك بعض المعلومات تم توضيحها بشكل تفصيلي جداً (تُعتبر لدى الطالب أو الطالبة بإنها معلومات مُبهمة ومع ذلك تم توضيح هذهِ المعلومات المُبهمة بشكل تفصيلي جداً
5- الملزمة تشرح نفسها ب نفسها بس تكلك تعال اقراني
6- تحتوي الملزمة في اول سلايد على خارطة تتضمن جميع تفرُعات معلومات الجهاز الهيكلي المذكورة في هذهِ الملزمة
واخيراً هذهِ الملزمة حلالٌ عليكم وإتمنى منكم إن تدعولي بالخير والصحة والعافية فقط
كل التوفيق زملائي وزميلاتي ، زميلكم محمد الذهبي 💊💊
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A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
BIOLOGY NATIONAL EXAMINATION COUNCIL (NECO) 2024 PRACTICAL MANUAL.pptx
Joy davidson-rdm-support-ual
1. Because good research needs good data
What support will you need and when will
you need it?
Joy Davidson and Sarah Jones
Digital Curation Centre, Glasgow
joy.davidson@glasgow.ac.uk
sarah.jones@glasgow.ac.uk
Funded by:
University of the Arts, DCC101, London, 19th November 2012
2. Because good research needs good data
Key questions researchers may have:
• when do I need to develop a data management plan?
• what data do I need to keep?
• what are the policies of GU, funders and data repositories?
• where should I store my data?
• what kind of license will I need for my data?
• how can I make the most impact with my data?
University of the Arts, DCC101, London, 19th November 2012
3. Because good research needs good data
When do researchers need to develop a
data management plan?
GU policy
Collaborate with support staff in colleges/schools and central
services to undertake sound research data management as a
fundamental part of good research practice.
As early as possible!
University of the Arts, DCC101, London, 19th November 2012
4. Because good research needs good data
What do I need to consider when creating
data?
GU Policy
Undertake research activity to the standards outlined in the
University’s Code of Good Research Practice.
Data should be kept to allow for validation of results.
Minimise risk of damage to reputation for
you and the university.
University of the Arts, DCC101, London, 19th November 2012
5. Because good research needs good data
Where should I store my data?
GU Policy
Work with IT Services and College IT teams to identify
storage requirements that may exceed that currently
offered by the institution.
Work with research support staff to identify key research
data outputs that must be retained to enable validation
(and potentially reuse).
• SoundSoftware Repository Service
• DataCite list of data repositories
http://datacite.org/repolist
University of the Arts, DCC101, London, 19th November 2012
6. Because good research needs good data
Why should I deposit my data in a
repository?
Data will be safeguarded for longer-term
access.
Data will more visible for validation, citation
and reuse.
Browsing data centre content can be a good way
for researchers to find potential collaborators and
gaps in research.
University of the Arts, DCC101, London, 19th November 2012
7. Because good research needs good data
AHRC expectations
Technical summary and plan to replace technical appendix as of
December 1, 2012
• Section 1: Summary of Digital Outputs and Digital Technologies
• Section 2: Technical Methodology
• 2a: Standards and Formats
• 2b: Hardware and Software
• 2c: Data Acquisition, Processing, Analysis and Use
• Section 3: Technical Support and Relevant Experience
• Section 4: Preservation, Sustainability and Use
• 4a: Preserving Your Data
• 4b: Ensuring Continued Access and Use of Your Digital Outputs
http://www.ahrc.ac.uk/Funding-Opportunities/Research-
funding/RFG/Application-guidance/Pages/Technical-Plan.aspx
University of the Arts, DCC101, London, 19th November 2012
8. Because good research needs good data
Funders’ expectations
• The British Academy expects deposits to be offered for
deposit at the AHDS or ESDS “within a reasonable time
after the completion of a project”.
• Wellcome Trust expects as an absolute minimum,
researchers should make relevant data available to
others on publication of their research, however
opportunities for timely and responsible pre-publication
sharing of data should also be maximised. The Trust will
provide grantholders with additional funding, through
their institutions, to cover open access charges.
• EU states all files and documents have to be kept for up
to five years after the end of the project for auditing
purposes. Data management plan is a requirement.
University of the Arts, DCC101, London, 19th November 2012
9. Because good research needs good data
Institutional Policies and Strategies
Support staff should familiarise themselves with
institutional codes of research practice, standards
and strategies.
http://www.arts.ac.uk/research/data-management/
University of the Arts, DCC101, London, 19th November 2012
10. Because good research needs good data
Issues to consider when advising researchers
Sustainability of repository
Prior to advising on places of data deposit, check the data
repository’s sustainability claims – both for researchers’ data and
for the repository itself.
Exeter Data Archive (EDA) Example
EDA regularly backs up its files according to current best
practice.
In the event of Exeter Data Archive being closed down, the
database will be transferred to another appropriate archive.
University of the Arts, DCC101, London, 19th November 2012
11. Because good research needs good data
Issues to consider when advising researchers
Formats
Prior to advising on a place of deposit, check to make sure that
the data repository accepts the format(s) researcher will be
working with.
Check to see if there are normalisation procedures (ingest,
preservation).
Exeter Data Archive Example
EDA collects, preserves and makes available the University's
research data. The content policy states that EDA will accept all
types of data.
University of the Arts, DCC101, London, 19th November 2012
12. Because good research needs good data
Issues to consider when advising researchers
What information do researchers need to provide?
Most repositories have a clearly defined set of minimum
information requirements.
EDA Example
• Title
• Data creator
• Department
• Date of publication
• Dataset description
University of the Arts, DCC101, London, 19th November 2012
13. Because good research needs good data
DCC guidance
• details of how the data have been encoded (database
structures, file formats);
• a list of software known to work with the data and their
supporting information;
• indications of how the data relate to other data assets;
• administrative information (grant info, identifiers, checksums);
University of the Arts, DCC101, London, 19th November 2012
14. Because good research needs good data
DCC guidance
• explanations of what the data represent (e.g. for sensor data,
what the sensor was measuring and in what units);
• the processing history of the data (how they were generated
and subsequently transformed, when and by whom);
• a narrative describing the context (why the data were
generated/collected, what methodology was used and why).
This information is particularly important
for users as they interpret the data, and determine whether and
how they can be integrated with other data.
University of the Arts, DCC101, London, 19th November 2012
15. Because good research needs good data
Issues to consider when advising researchers
Access
Prior to advising on place of deposit, check to make sure that the
data repository’s policy on access meets researchers’ and/or
funders’ needs.
EDA Example
• Anyone may access full items free of charge.
• Copies of full items generally can be:
(a) reproduced, displayed or performed, given to third parties,
and stored in a database in any format or medium
(b) for personal research or study, educational, or not-for-profit
purposes without prior permission or charge
University of the Arts, DCC101, London, 19th November 2012
16. Because good research needs good data
Issues to consider when advising researchers
Restrictions on Access
Are there any restrictions on access to researchers’ data that the
repository should be made aware of?
EDA Example
• Items can be deposited at any time, but will not be made
publicly visible until any publishers' or funders' embargo period
has expired.
• This repository is not the publisher; it is merely the online
archive.
University of the Arts, DCC101, London, 19th November 2012
17. Because good research needs good data
Issues to consider when advising researchers
Licensing
Prior to deposit, work with researchers to determine the best
license for their data. Make sure that researchers’ data license
respects limits associated with any external data they are using.
EDA Example
• Full items must not be sold commercially in any format or
medium without formal permission of the copyright holders.
• Any copyright violations are entirely the responsibility of the
authors/depositors
• Some full items are individually tagged with different rights
permissions and conditions .
University of the Arts, DCC101, London, 19th November 2012
18. Because good research needs good data
General guidance for data licensing
Taken from DCC How-to guide on licensing data
www.dcc.ac.uk/resources/how-guides
Two key issues to consider:
• Licensing – legal instrument stating what people can and can’t
do with data
• Waivers – legal instrument allowing author to give up rights
University of the Arts, DCC101, London, 19th November 2012
19. Because good research needs good data
Creative Commons
• Attribution condition - allows others to copy, distribute, display,
and perform the work as long as the creator is given due credit.
• Non-commercial – users cannot use the work for commercial
purposes
• Share-alike – all derivative works must be released
under the same licence as the original work
Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
http://creativecommons.org/
University of the Arts, DCC101, London, 19th November 2012
20. Because good research needs good data
Issues to consider when advising researchers
Citation
Work with researchers to help make their data citable to increase
your potential impact (for researchers and REF).
EDA Example
Once your work has been approved for entry into the EDA, you
will receive a notification via email. This email will contain a
permanent link to your work - you should cite this link in
preference to the URL of the item as it provides continuing
persistent access in case the URL should ever change.
University of the Arts, DCC101, London, 19th November 2012
21. Because good research needs good data
General guidance for data citation
Taken from DCC How-to guide on data citation
www.dcc.ac.uk/resources/how-guides
If you have generated/collected data to be used as evidence in
an academic publication, you should deposit them with a suitable
data archive or repository as soon as you are able.
If they do not provide you with a persistent identifier or URL for
your data, encourage them to do so.
University of the Arts, DCC101, London, 19th November 2012
22. Because good research needs good data
General guidance for data citation
When citing a dataset in a paper, use the citation style required
by the editor/publisher. If no form is suggested for datasets, take
a standard data citation style and adapt it to match the style for
textual publications.
Give dataset identifiers in the form of a URL wherever possible,
unless otherwise directed.
Include data citations alongside those for textual publications.
Some reference management packages now include support for
datasets, which should make this easier.
University of the Arts, DCC101, London, 19th November 2012
23. Because good research needs good data
General guidance for data citation
Cite datasets at the finest-grained level available that meets your
need. If that is not fine enough, provide details of the subset of
data you are using at the point in the text where you make the
citation.
If a dataset exists in several versions, be sure to cite the exact
version you used.
When you publish a paper that cites a dataset, notify the
repository that holds the dataset, so it can add a link from that
dataset to your paper.
University of the Arts, DCC101, London, 19th November 2012
24. Because good research needs good data
General advice for support provision:
• Discipline specific support is better than generic
• Advice on where to store data during the active phase of
research as well
• Real life examples of good practice are helpful
University of the Arts, DCC101, London, 19th November 2012
25. Because good research needs good data
But remember!
The validity and authenticity of the data is the
responsibility of the researcher.
This is true for any data repository.
Make sure researchers are aware of their
responsibility.
University of the Arts, DCC101, London, 19th November 2012
26. Because good research needs good data
But remember!
You can’t do the work for researchers – this is a
collaborative process.
Start conversations at the bid stage/start of PhD
and keep communications going.
Feed into the KAPUR project as it progresses
to help shape effective infrastructure and support
services.
University of the Arts, DCC101, London, 19th November 2012
27. Because good research needs good data
Useful resources - DCC Tools catalogue
Managing data
http://www.dcc.ac.uk/resources/external/tools-
services/managing-active-research-data
Sharing and tracking reuse
http://www.dcc.ac.uk/resources/external/tools-services/sharing-
output-and-tracking-impact
University of the Arts, DCC101, London, 19th November 2012
28. Because good research needs good data
Any questions?
For DCC guidance, tools and case studies see:
www.dcc.ac.uk/resources
Follow us on twitter @digitalcuration and #ukdcc
University of the Arts, DCC101, London, 19th November 2012