This document does not contain any discernible words or meaningful information in a recognizable language. It appears to be random characters without any coherent summary that can be extracted.
The document appears to be a listing of random words and characters that do not form coherent sentences or convey clear meaning. It is difficult to extract any essential information or provide a concise summary with only 3 sentences due to the lack of context and meaning in the given text.
This document discusses a web construction project. It appears to be in Spanish and refers to building or creating something online or for the web. In a few sentences or less, it gives a high-level overview of a project related to web development or web design.
This document appears to be welcoming someone to the Insight family and provides a website URL of www.2ndgear.com. It contains no other words or details to summarize further in 3 sentences or less.
This document discusses how the world is owned and some entity or group's role in its ownership. However, the document does not provide enough coherent information to form a clear summary due to the irregular formatting and lack of context.
Monthly newsletter for members of the Kaptur Project Steering Group - and particularly aimed at the Project Sponsors. Month 6 of this 18 month project.
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.
The document appears to be a listing of random words and characters that do not form coherent sentences or convey clear meaning. It is difficult to extract any essential information or provide a concise summary with only 3 sentences due to the lack of context and meaning in the given text.
This document discusses a web construction project. It appears to be in Spanish and refers to building or creating something online or for the web. In a few sentences or less, it gives a high-level overview of a project related to web development or web design.
This document appears to be welcoming someone to the Insight family and provides a website URL of www.2ndgear.com. It contains no other words or details to summarize further in 3 sentences or less.
This document discusses how the world is owned and some entity or group's role in its ownership. However, the document does not provide enough coherent information to form a clear summary due to the irregular formatting and lack of context.
Monthly newsletter for members of the Kaptur Project Steering Group - and particularly aimed at the Project Sponsors. Month 6 of this 18 month project.
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.
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.
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 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.
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 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.
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 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.
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 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.
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 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.
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.
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.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
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.)
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.