Bitesize highlights from the Breaking Binaries Research 'Twilight Zone' Qualitative Research Training Sessions #qualitativeresearch #researchtips #qualitativeanalysis #phdlife
The document discusses interview methods for research. Interviews involve direct face-to-face interaction between the interviewer and interviewee. They allow for collection of in-depth data through open-ended questions and discussion. There are different types of interviews - structured interviews follow a rigid standardized format; semi-structured interviews have some flexibility in question order; single interviews involve one interviewer and interviewee; group interviews have multiple interviewees. Interviews have advantages like depth of information, insights from experts, and flexibility, but are also time consuming to analyze and can be affected by the interviewer.
Qualitative research by Dr. Subraham PanySubraham Pany
This document provides an overview of qualitative research methods. It discusses the characteristics of qualitative research including a focus on description, interpretation, and understanding participants' perspectives. Common data collection techniques are described like participant observation, interviews, focus groups, and sampling approaches. The stages of qualitative analysis are outlined as data reduction, data display, drawing and verifying conclusions. Finally, some software options for qualitative analysis are mentioned along with their limitations.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to explore topics in depth. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to gather personal details from candidates. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
This slide will guide other researchers that wants to collect data using Interview method. It teaches how to analyse the data as well. This was a presentation that was carried out in our research method class by our group.
The document discusses different types of interview methods used in psychology: structured interviews, semi-structured interviews, and unstructured interviews. Structured interviews involve asking all candidates the same predetermined questions. Semi-structured interviews involve asking some predetermined questions but also allowing new questions to arise spontaneously. Unstructured interviews have no predetermined questions and arise organically from a free-flowing conversation. Each method has advantages like objectivity or flexibility and disadvantages like lack of structure or difficulty in analysis.
The document discusses interview methods for research. Interviews involve direct face-to-face interaction between the interviewer and interviewee. They allow for collection of in-depth data through open-ended questions and discussion. There are different types of interviews - structured interviews follow a rigid standardized format; semi-structured interviews have some flexibility in question order; single interviews involve one interviewer and interviewee; group interviews have multiple interviewees. Interviews have advantages like depth of information, insights from experts, and flexibility, but are also time consuming to analyze and can be affected by the interviewer.
Qualitative research by Dr. Subraham PanySubraham Pany
This document provides an overview of qualitative research methods. It discusses the characteristics of qualitative research including a focus on description, interpretation, and understanding participants' perspectives. Common data collection techniques are described like participant observation, interviews, focus groups, and sampling approaches. The stages of qualitative analysis are outlined as data reduction, data display, drawing and verifying conclusions. Finally, some software options for qualitative analysis are mentioned along with their limitations.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to explore topics in depth. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
The document discusses different types of interviews used in psychology: structured, semi-structured, and unstructured. A structured interview involves asking all candidates the same predetermined questions in the same order to allow for objective comparison. A semi-structured interview involves both predetermined and spontaneous questions to provide a more personalized approach. An unstructured interview has no predetermined questions and follows a free-flowing conversation format to gather personal details from candidates. The document outlines the key characteristics, steps, advantages, and disadvantages of each interview type.
This slide will guide other researchers that wants to collect data using Interview method. It teaches how to analyse the data as well. This was a presentation that was carried out in our research method class by our group.
The document discusses different types of interview methods used in psychology: structured interviews, semi-structured interviews, and unstructured interviews. Structured interviews involve asking all candidates the same predetermined questions. Semi-structured interviews involve asking some predetermined questions but also allowing new questions to arise spontaneously. Unstructured interviews have no predetermined questions and arise organically from a free-flowing conversation. Each method has advantages like objectivity or flexibility and disadvantages like lack of structure or difficulty in analysis.
Qualitative research focuses on words rather than numbers, generates theories rather than generalizing, and aims to understand participant views without claiming to generalize. Qualitative researchers are influenced by interpretivism and seek to understand social life through the eyes of participants by emphasizing context and flexibility over rigid structures. The qualitative research process involves generating questions, selecting sites and subjects, collecting and analyzing data, developing concepts and theories, and writing conclusions. Reliability and validity are ensured through methods like member checking and triangulation. Qualitative sampling uses non-probability methods like convenience sampling. Data collection methods include interviews, focus groups, document analysis, and observation.
This document discusses various research interview methods used to collect primary data, including unstructured interviews which use open-ended questions to understand perceptions, structured interviews which use standardized questions, and focus groups which gather group discussions. It provides tips for conducting interviews such as establishing rapport, avoiding bias, and using techniques like funneling. The advantages and disadvantages of face-to-face and telephone interviews as well as focus groups and videoconferencing are also outlined.
Unstructured interviews are interviews with little directional influence from the researcher. They allow participants to freely discuss what they think is important. Semi-structured interviews use an interview schedule or list of topics to ensure continuity across interviews while still allowing flexibility. Structured interviews strictly follow a set format with closed-ended questions. Focus groups involve a discussion led by a moderator on a specific topic with a group of participants. Questionnaires can be closed-ended, open-ended, or a combination to collect both quantitative and qualitative data. Participant observation involves the researcher directly observing and participating in the lives of the people being studied.
This document discusses interview techniques and best practices. It covers types of interviews like structured, semi-structured, and unstructured. It also discusses training interviewers to avoid bias, preparing for an interview with topics like confidentiality and format, asking questions with the right sequence and type, analyzing interviews, and considering the strengths and weaknesses of interviews. The overall goal is to help researchers conduct effective qualitative interviews.
This document discusses qualitative interviewing techniques for gathering data in criminal justice studies. It covers different types of interviews like structured, semi-structured, and unstructured interviews. Focus groups are also discussed. The document provides guidance on designing interview questions, gaining access to participants, conducting interviews, recording data, analyzing qualitative data through coding and identifying themes, and ensuring rigor and quality.
This document discusses qualitative interviewing techniques for gathering data in criminal justice studies. It covers different types of interviews like structured, semi-structured, and unstructured interviews. Focus groups are also discussed. The document provides guidance on designing interview questions, gaining access to participants, conducting interviews, recording data, analyzing qualitative data through coding and identifying themes, and ensuring rigor and quality.
Introduction to UX Research: Fundamentals of Contextual InquiryMarc Niola
Contextual inquiry is an important user research method that involves directly observing users in their natural environment to understand how they accomplish tasks. It helps identify user needs, constraints, and frustrations. The contextual inquiry process involves recruiting participants, planning a focus, observing users without interfering, analyzing patterns in the data, and iterating the findings with users. Conducting contextual inquiry at the beginning of a project establishes an essential feedback loop between users and developers to validate design decisions.
Data collection methods 3.pptx community health nursing 2akoeljames8543
The document discusses various methods for collecting data, including direct observation, experiments, surveys, questionnaires, interviews, participant observation, focus groups, and laboratory analysis. It provides details on questionnaire design and administration, types of interview questions, steps in participant observation and focus group research, and advantages and disadvantages of each method.
This document discusses qualitative research methods used in mass media research. It describes three approaches to social science research: positivism, interpretive, and critical. It then discusses five areas of difference between positivist and interpretive approaches. Finally, it summarizes various qualitative data collection methods like field observation, focus groups, intensive interviews, and content analysis.
Presentation at a meeting of Health Policy, System and Management Research Group,
Department of Community Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria on 28/06/28
User Experience Design Fundamentals - Part 2: Talking with UsersLaura B
#2 in a 3-part series on UX Fundamentals: Talking with Users
Understand why you should talk to users to uncover, validate and/or understand their goals.
Learn how and when to talk with your users:
User research methods
Planning
Best practices for interviews
Interviewing techniques for research by jayadeva de silvaSelf-employed
Structured interviews have a set list of questions asked in the same order to all respondents. This allows for standardized, quantifiable responses but limits flexibility. Semi-structured interviews follow a general outline but allow elaboration. Unstructured interviews are open conversations that generate rich qualitative data but are difficult to analyze systematically. The type of interview chosen depends on the goal of obtaining standardized or customized responses within the needed time and resources.
This document discusses different methods for collecting data in scientific research, focusing on questionnaires and interviews. It provides details on how to design and administer questionnaires, including defining objectives, writing questions, and pilot testing. It also describes structured, semi-structured, and in-depth interviews. Focus group discussions are explained as a way to stimulate conversation around a topic and cross-check opinions. Questionnaires allow collecting large amounts of subjective and objective data but depend on honesty, while interviews provide more context and understanding but are more time intensive.
This document discusses various methods for collecting primary data, including individual interviews, focus groups, and projective techniques. It provides details on how to conduct effective interviews and focus groups, including developing discussion guides, selecting and incentivizing participants, and the roles of the moderator. It also compares primary and secondary data and discusses how to minimize bias in interviews.
Understanding the principles and methodologies for conducting research & surveys.
1. Understanding Research Context
2. Designing a Survey
3. Designing a Questionnaire
4. Capturing & Analysing Design Research
5. Tools//Offline & Online
This document discusses various techniques and tools for collecting data in research. It describes commonly used techniques like document review, observation, interviews, questionnaires, and focus group discussions. For each technique, it provides details on how to implement it, advantages and disadvantages. It also distinguishes between data collection techniques, which are methods for gathering information, and data collection tools, which are instruments used to apply the techniques.
This document discusses different methods of data collection in nursing research, focusing on interviews. It defines interviews and describes their purpose as gathering information. The main types of interviews covered are structured, unstructured, semi-structured, focused group, and telephonic interviews. For each type, the document outlines their key characteristics, merits and demerits. Additional sections provide the definition of interviews, purposes of interviews, and the interview process.
Learn more about the basics of experience research on https://blog.morethanmetrics.com/research-basics/
This is a short introduction to the most important methods used in customer experience research – how they work and what advantages and disadvantages they have.
Breaking Binaries Research Session on Coding and AnalysisKatrina Pritchard
This is the slide set for the Breaking Binaries Research Summer Session on Qualitative Coding and analysis delivered by Professor Katrina Pritchard and Dr Helen Williams
Qualitative research focuses on words rather than numbers, generates theories rather than generalizing, and aims to understand participant views without claiming to generalize. Qualitative researchers are influenced by interpretivism and seek to understand social life through the eyes of participants by emphasizing context and flexibility over rigid structures. The qualitative research process involves generating questions, selecting sites and subjects, collecting and analyzing data, developing concepts and theories, and writing conclusions. Reliability and validity are ensured through methods like member checking and triangulation. Qualitative sampling uses non-probability methods like convenience sampling. Data collection methods include interviews, focus groups, document analysis, and observation.
This document discusses various research interview methods used to collect primary data, including unstructured interviews which use open-ended questions to understand perceptions, structured interviews which use standardized questions, and focus groups which gather group discussions. It provides tips for conducting interviews such as establishing rapport, avoiding bias, and using techniques like funneling. The advantages and disadvantages of face-to-face and telephone interviews as well as focus groups and videoconferencing are also outlined.
Unstructured interviews are interviews with little directional influence from the researcher. They allow participants to freely discuss what they think is important. Semi-structured interviews use an interview schedule or list of topics to ensure continuity across interviews while still allowing flexibility. Structured interviews strictly follow a set format with closed-ended questions. Focus groups involve a discussion led by a moderator on a specific topic with a group of participants. Questionnaires can be closed-ended, open-ended, or a combination to collect both quantitative and qualitative data. Participant observation involves the researcher directly observing and participating in the lives of the people being studied.
This document discusses interview techniques and best practices. It covers types of interviews like structured, semi-structured, and unstructured. It also discusses training interviewers to avoid bias, preparing for an interview with topics like confidentiality and format, asking questions with the right sequence and type, analyzing interviews, and considering the strengths and weaknesses of interviews. The overall goal is to help researchers conduct effective qualitative interviews.
This document discusses qualitative interviewing techniques for gathering data in criminal justice studies. It covers different types of interviews like structured, semi-structured, and unstructured interviews. Focus groups are also discussed. The document provides guidance on designing interview questions, gaining access to participants, conducting interviews, recording data, analyzing qualitative data through coding and identifying themes, and ensuring rigor and quality.
This document discusses qualitative interviewing techniques for gathering data in criminal justice studies. It covers different types of interviews like structured, semi-structured, and unstructured interviews. Focus groups are also discussed. The document provides guidance on designing interview questions, gaining access to participants, conducting interviews, recording data, analyzing qualitative data through coding and identifying themes, and ensuring rigor and quality.
Introduction to UX Research: Fundamentals of Contextual InquiryMarc Niola
Contextual inquiry is an important user research method that involves directly observing users in their natural environment to understand how they accomplish tasks. It helps identify user needs, constraints, and frustrations. The contextual inquiry process involves recruiting participants, planning a focus, observing users without interfering, analyzing patterns in the data, and iterating the findings with users. Conducting contextual inquiry at the beginning of a project establishes an essential feedback loop between users and developers to validate design decisions.
Data collection methods 3.pptx community health nursing 2akoeljames8543
The document discusses various methods for collecting data, including direct observation, experiments, surveys, questionnaires, interviews, participant observation, focus groups, and laboratory analysis. It provides details on questionnaire design and administration, types of interview questions, steps in participant observation and focus group research, and advantages and disadvantages of each method.
This document discusses qualitative research methods used in mass media research. It describes three approaches to social science research: positivism, interpretive, and critical. It then discusses five areas of difference between positivist and interpretive approaches. Finally, it summarizes various qualitative data collection methods like field observation, focus groups, intensive interviews, and content analysis.
Presentation at a meeting of Health Policy, System and Management Research Group,
Department of Community Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria on 28/06/28
User Experience Design Fundamentals - Part 2: Talking with UsersLaura B
#2 in a 3-part series on UX Fundamentals: Talking with Users
Understand why you should talk to users to uncover, validate and/or understand their goals.
Learn how and when to talk with your users:
User research methods
Planning
Best practices for interviews
Interviewing techniques for research by jayadeva de silvaSelf-employed
Structured interviews have a set list of questions asked in the same order to all respondents. This allows for standardized, quantifiable responses but limits flexibility. Semi-structured interviews follow a general outline but allow elaboration. Unstructured interviews are open conversations that generate rich qualitative data but are difficult to analyze systematically. The type of interview chosen depends on the goal of obtaining standardized or customized responses within the needed time and resources.
This document discusses different methods for collecting data in scientific research, focusing on questionnaires and interviews. It provides details on how to design and administer questionnaires, including defining objectives, writing questions, and pilot testing. It also describes structured, semi-structured, and in-depth interviews. Focus group discussions are explained as a way to stimulate conversation around a topic and cross-check opinions. Questionnaires allow collecting large amounts of subjective and objective data but depend on honesty, while interviews provide more context and understanding but are more time intensive.
This document discusses various methods for collecting primary data, including individual interviews, focus groups, and projective techniques. It provides details on how to conduct effective interviews and focus groups, including developing discussion guides, selecting and incentivizing participants, and the roles of the moderator. It also compares primary and secondary data and discusses how to minimize bias in interviews.
Understanding the principles and methodologies for conducting research & surveys.
1. Understanding Research Context
2. Designing a Survey
3. Designing a Questionnaire
4. Capturing & Analysing Design Research
5. Tools//Offline & Online
This document discusses various techniques and tools for collecting data in research. It describes commonly used techniques like document review, observation, interviews, questionnaires, and focus group discussions. For each technique, it provides details on how to implement it, advantages and disadvantages. It also distinguishes between data collection techniques, which are methods for gathering information, and data collection tools, which are instruments used to apply the techniques.
This document discusses different methods of data collection in nursing research, focusing on interviews. It defines interviews and describes their purpose as gathering information. The main types of interviews covered are structured, unstructured, semi-structured, focused group, and telephonic interviews. For each type, the document outlines their key characteristics, merits and demerits. Additional sections provide the definition of interviews, purposes of interviews, and the interview process.
Learn more about the basics of experience research on https://blog.morethanmetrics.com/research-basics/
This is a short introduction to the most important methods used in customer experience research – how they work and what advantages and disadvantages they have.
Similar to BBR Twilight Higlights- Interview Training 15JUN23.pptx (20)
Breaking Binaries Research Session on Coding and AnalysisKatrina Pritchard
This is the slide set for the Breaking Binaries Research Summer Session on Qualitative Coding and analysis delivered by Professor Katrina Pritchard and Dr Helen Williams
How to use Babbage and Terry's Macro in Qualitative research - a short explanation.
Babbage, D. R., & Terry, G. (2023, April 19). Thematic analysis coding management macro. https://doi.org/10.17605/OSF.IO/ZA7B6
BBR Twilight Highlights Coding and Analysis 24MAY23.pptxKatrina Pritchard
Bitesize highlights from the Breaking Binaries Research 'Twilight Zone' Qualitative Research Training Sessions #qualitativeresearch #researchtips #qualitativeanalysis #phdlife
This document provides an overview of a qualitative thesis walkthrough session presented by Professor Katrina Pritchard and Dr. Helen Williams. The session covers key aspects of a qualitative thesis such as literature reviews, theoretical frameworks, methodology and methods, empirical findings, and discussion/conclusion. It also includes overviews of Pritchard and Williams' theses and tips for writing a qualitative thesis. The goal is to help participants thinking about structuring and writing their own qualitative theses.
BBR Twilight Zone Session 1 Introduction to Ontology and EpistemologyKatrina Pritchard
This is the first session from the 'Twilight Zone' delivered by Dr Helen Williams and Prof. Katrina Pritchard as part of the Breaking Binaries Research Programme.
You can read more about these sessions on our blog: https://breakingbinariesresearch.wordpress.com/
This document discusses ageing in the workplace. It begins with introductions from Professor Katrina Pritchard of Swansea University and Dr. Cara Reed of Cardiff University. The document then covers various ways of understanding age, including chronological, biological, functional, and subjective definitions. It also discusses generational categories and how attitudes towards age can influence stereotypes, prejudice, and discrimination. Finally, it explores hot topics regarding ageing such as retirement trends and the experience of older women workers.
This document outlines three sub-projects that analyze gendered constructions of entrepreneurship across online spaces: 1) Mapping visual representations of entrepreneurial masculinities and femininities, 2) Unpacking representations of entrepreneurial advice online, and 3) Analyzing the journey of a popular female entrepreneurial image. The researchers trace images and texts across platforms to understand how entrepreneurship is gendered. They discuss challenges of reflexively analyzing online images and platforms, tracing as an ongoing process, and using a montage approach. The second sub-project analyzes entrepreneurial advice through a framework of critical public pedagogy and examines how advice shapes subjects according to capitalist norms in a gendered way. Preliminary findings suggest advice constructs entrepreneurship
This document discusses qualitative research methods for analyzing online text and images. It describes the author's journey across different methodological approaches in human resource management, identity and diversity, and entrepreneurship research. These have included digital methods like tracking online data and trawling websites, as well as visual analysis techniques. Challenges of online research are noted around data volume, authenticity, and publishing multimodal findings. Future developments may involve more socially distanced research and combining digital and traditional methods as data becomes more complex, ephemeral and multimodal.
This document discusses the need for new directions in qualitative research methods. It argues that traditional qualitative research has become formulaic and fails to address important issues like reification of data and lack of consideration of concepts like temporality and materiality. The document then explores potential new directions, including personal reflection on one's research, developing method guides, and using creative and digital methods. It provides an example research project that maps across digital spaces and combines visual and semiotic analysis. Finally, it stresses that doctoral researchers should challenge assumptions, experiment with different knowledge generation techniques, and focus on methodology.
This document provides an overview of a research project analyzing web-based images of entrepreneurs. It discusses using a Combined Visual Analysis methodology to examine images from Google Image searches and stock image libraries. The analysis involves categorizing images, analyzing composition, semiotics, gaze and gesture. Preliminary conclusions found themes of masculinity reinforced in male images but adopted in female images, with stock images predominating. Challenges discussed include volume of data, platformization, and ethics. Key advice is to explore visual representations, notice stock image use, discuss ethics, and contribute seriously while having fun.
This document discusses generational stereotypes about young and older workers. It notes that while "young" and "old" are constructed categories in the labor market used to exclude workers, both groups face similar means and measures of exclusion based on chronological age. The document also examines how generations are defined but debates the evidence for lasting differences between birth cohorts. It concludes by calling for future research to better understand stereotypes, intersectional experiences, age as a competition, and the impact of COVID-19 across age groups.
This document provides an introduction to a keynote presentation about reimagining research in a digital age. It discusses how conducting research essentially involves extracting and abstracting meaning from data. When research moves online, issues like authenticity, hybridity, multimodality, temporality and sociomateriality must be critically engaged with. There are also practical challenges to consider regarding research ethics, skills, resources, and managing mixed methods. The document provides resources for conducting qualitative research on various digital platforms and methods.
This document provides an overview of a research seminar on age and work. It discusses several topics:
1) Generations are socially constructed cohorts that shape values and attitudes. Debates often conflate generations with age groups and present differences as natural rather than constructed.
2) Discussions of the "missing million" unemployed youth and the "missing million" unemployed older workers position different age groups in competition over limited jobs and resources.
3) Visual analyses of online news and stock photos reveal gendered discourses of ageing, with older men typically depicted in command roles and younger women as the focus of attention.
The seminar explores how notions of age and age identities are constructed online
Part of the British Academy of Management Research Methods SIG 'Sharing our Struggles' series.
The increased use of the Internet, social media and other virtual sites for discussing and accomplishing work and organization raises both new possibilities and new challenges for conducting organizational research. We have the opportunity to view work in a different way, to access the previously inaccessible and to gain insight into virtual organization through the utilisation of on-line research methods but we still know very little about how we might effectively and usefully do this. In this workshop speakers will discuss their own specific experiences of on-line research, revealing both their successes and the issues that arise.
See flyer for cost and booking details
Do you see what I see? Going beyond chronology by exploring images of age at work. Katrina Pritchard and Rebecca Whiting Paper presented at BPS conference, January 2013
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
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.
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!"
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.)
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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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.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
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.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
It has been suggested that interviews play a variety of different roles in qualitative research, and these are related to different ontological and epistemological assumptions. Commonly, scholars distinguish between ‘neopositivist’ and ‘interpretative’ perspectives (Alvesson, 2003; Roulston, 2018), where the first implies the use of interviews to capture ‘facts’ based on a neutral objectivist perspective; the second implies a focus on capturing meaning and experiences through empathetic engagement with interviewees.
the interview has also been seen as a site for locally co-produced knowledge (Silverman, 2017). This approach - characterised as ‘constructionist’ (Gubrium et al., 2012; Roulston, 2018) - shifts to understanding how interviewees and interviewers discursively construct mutually acceptable accounts through interaction. Entrepreneurship scholars note how this fits well with the “uniqueness, heterogeneity, volatility, and mundanity of entrepreneurial phenomena” (Van Burg et al., 2020, p. 5).