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As an employee of an organization that relies on data collection to accomplish our organizational goals, I think I need to learn more technical skills about how to appropriately collect and store data. Digital data is really complicated, so i would like to be more competent and knowledgeable about the whole life cycle of data - from when it is first collected to the entirety of its retention. Taking courses like this one can help me learn best practices for data management.

Ethical principles are essential to the specialist because it shows the dos and don'ts of M&E.

M&E personnel and their team should be in a position to provide skilled professional services. This means that, one should ensure that they have cultural and technical skills to carry out M&E processes. Technical skills may include the ability to use survey tools, mapping stakeholder needs, storage of data securely and designing surveys.

Competence is a quality or state of having sufficient knowledge, judgment, skill, or strength (as for a particular duty or in a particular respect). So, it is all about having the ability to perform with integrity.

The ability to communicate in the local language also facilitates smoother data collection processes. It reduces potential barriers and misunderstandings that may arise from language differences, enabling participants to express themselves more comfortably and authentically. This, in turn, promotes a conducive environment for data gathering, enhancing the overall data quality and reliability.

Skills can be technical as well as cultural. Technical skills allow you to use tools and processes correctly. Examples include:

Mapping stakeholder needs

Storing data securely

Designing surveys

Im very competent in terms of Data collection, procession, storing, analysis, presentation.

competence is the key

I believe that while many are aware that they should always ensure that they have the technical abilities required to collect data, they do not put the same emphasis on the cultural ability. This is extremely important to consider when developing M&E. Additionally, I think that some may believe that denying an M&E process might be a sign of failure, whereas it is in fact a sign of cultural or technical awareness.

Agree that competence is also plays an important role in performing M&E activities, especially in how we should stick in to one method that we really good at, rather than forcing ourselves to use sophisticated method that out of our competence. It really matters in ensuring the quality of our data and information.

Yes, it is important to have the cultural and linguistic proficiency of the target community or village before collecting data. This facilitates the approach.

To add on the cultural norms, it is also acceptable to also consider incorporating the cultural norms in your M&E activities. For example, in the case that community you will be collecting your data from does not allow associations of male and females, it could be good the suggest to your donors or partners that you employ and train people in the community that could be accepted to associated with a particular gender for conversations.

Regarding the skills, now that access to learning materials is mostly available and accessible online, it is important to continuously encourage the M&E teams to keep learning and upgrading their M&E skills online. In addition, make time to download some of the learning materials to share with those that might not have access to the internet

It is important to have technical and cultural skills to collect the data to facilitate M&L process. I is necessary to identify the challanges that can come during data collection process

Competency is vast for M&E as it entails alot, but I think it is mostly knowing what to do, how to do it, when and why to do it, and who you are doing it for. Without all these, then the data we get are are from being correct.

with competence: this is about providing skilled professional services to the beneficiaries, the staff should be culturally and technically skilled about the project. for them to present the correct results at the end of the project.

It is very important to attention about the culture mainly in Africa we have many realities

When we go for data collection on feild it is important to know that place before collection their culture their language their life style and what is the norms of their community so every member of our team must have all knowladge first then it is possible to we gaithera right inrormantion otherwise no accurate data was collect

Understanding the characteristics of our audience is the determinant of designing and type of method to collect data from.

you should have enough skills to do monitoring and evaluation like cultural

Competence runs into two categories: technical skills and cultural skills. Then, each one is dividend into further sub categories.
Technical skills includes mapping stakeholders needs, storing data and designing surveys. Cultural skills includes language ability, understanding local gender dynamics and understanding local attitude towards privacy.

Competence provide skilled professional services.

Mapping stakeholder needs
Storing data securely
Designing surveys

Ensuring that the M&E team is aware of local cultural norms is often overlooked, and may cause damage even before the M&E process has begun.

Experience teaching students in math

It is good to acknowledge the need to roll out data collection only after securing both technical and cultural skills. Data collection can be very relational. This must be done ethically and scientifically.

Continuous learning helps to adopt to new skills and technological advances and makes you very competent. but once you burry your head in the sand like an Ostrich then you remain behind.

I love the part that say continue improving your skills, I know that is an essential part of the job

I want to know some tools in Monitoring and Learning advisor in order to make better all the project that it study. The way to collect data can help me to improve my level step by step. That is way one of the reason I always learn

If you have competence, you're qualified or well prepared to do something. A driving test will show if you have competence behind the wheel.

Competence is a principle to possess technical and cultural skills to carry out the M& E process. One must not carry out M& E if not equipped with the required skills or competent. It is also important to continually improve the skills in this area. The technical skills are essential i.e., mapping stakeholders' needs, storing data securely and designing surveys. The cultural skills are language ability, understanding gender dynamics and privacy.

I would say continuous learning is to take your team’s professional education seriously and support them to become a successful team.

Competence principle is an important consideration as it brings awareness to the fore on technical and cultural skills of data collection team. I f the team is not true to its competence levels, the data to be collected may be incorrect and harm the people and project decisions.

The competence principles of Monitoring and Evaluation (M&E) underscore the significance of having both technical and cultural skills to execute M&E processes effectively. These principles offer several advantages that contribute to the integrity and success of M&E efforts.

Firstly, ensuring that you possess the necessary technical and cultural skills is paramount. Technical proficiency, such as data handling and survey design, enables precise data collection and analysis. Meanwhile, cultural skills, including understanding local dynamics and attitudes, facilitate respectful and culturally sensitive interactions with stakeholders. By having these skills in place, M&E processes can be carried out accurately and ethically, enhancing the credibility of the collected data.

Secondly, the principle of declining to run M&E processes for which you lack the required skills serves to mitigate the risk of causing harm or presenting inaccurate data. This honesty about limitations fosters trust among stakeholders. It safeguards the integrity of the M&E process, ensuring that data collection is conducted responsibly and ethically.

Finally, the commitment to continually improve skills through learning and professional development is essential for the ongoing success of M&E efforts. It allows teams to stay current with evolving tools and methodologies, ultimately enhancing the quality and effectiveness of M&E practices. This dedication to skill enhancement ensures that teams can adapt to new challenges and technologies, contributing to the overall success of projects and initiatives.

In essence, these competence principles promote effective, ethical, and reliable M&E practices. They emphasize the importance of having the right skills, being honest about limitations, and continually investing in learning to achieve meaningful and impactful results in the field of Monitoring and Evaluation.

designing surveys helps to map stake holders needs and expectations. i have tried it and has worked for me.

you are supposed to be qualified with techno skills

Competency is crucial at all times even in data collection.

One underrated insight is explicitly stating the limitations of the M&E process.

In the realm of M&E, it is essential to possess the necessary cultural and technical skills for M&E processes. Therefore, a commitment to ongoing skill improvement is crucial.
Embracing the "Competence principle" ensures that M&E activities are conducted proficiently, ultimately enhancing the quality and reliability of the collected data.

It is really important to encourage team members to upskill themselves as we are doing now such that we can gain valuable knowledge on M&E processes. This generally increases the confidence levels to take up certain responsibilities.

Like in the notes presented, it is easy to assume one is ready to carry out an M&E activity, however care must be taken to ensure that the processes you are choosing to undertake you are well conversant with them. Learning is never ending and new ways to do things are always coming up, we must endeavor to improve our knowledge always.

By upholding the principle of competence, M&E practitioners contribute to the reliability and credibility of the evaluation process, ultimately supporting informed decision-making and improved program outcomes.

M&E in different sectors requires continuous learning and adaptation and as such it is important to adapt to new techniques. The advice to wait and reflect before trying out new learned skills is well noted, however, for me the essence of this kind of courses is to gain new skills to enhance ones effectiveness and job performance.

are the skills for data analytics
Data analytics skills help businesses to identify trends, understand customer behavior, and optimize processes. Professionals with data analytics skills are in high demand across various industries, including healthcare, finance, marketing, and technology.

4 Components of an Analytics Model | by Benjamin Obi Tayo Ph ...
This article will discuss 4 main components of an analytics model, namely: 1) Data Component, 2) Algorithm Component, 3) Real World Component, and 4) Ethical Component. Knowledge from data science training courses is necessary for acquiring skills in Components 1 and 2 (Data Component and Algorithm Component

Decline to run M&E processes that you are not well equipped to do. This will save you resources and from harm that might arise later should the data be leaked due to lack of competence!

Competence in ethical principles refers to the ability of individuals or professionals to apply ethical principles effectively in their decision-making and actions. It involves having a deep understanding of ethical theories, moral values, and standards, and being able to integrate this knowledge into practical situations.

Competence in ethical principles includes:

Understanding Ethical Theories: Competent individuals are familiar with various ethical theories such as utilitarianism, deontology, and virtue ethics. They can analyze ethical dilemmas from different perspectives and understand the underlying principles guiding each theory.

Moral Reasoning: Competence in ethical principles involves the ability to engage in moral reasoning. Individuals can assess complex situations, consider different viewpoints, and make sound ethical judgments based on reasoned arguments.

Application of Ethical Codes: Professionals in various fields, such as medicine, law, and business, adhere to specific ethical codes of conduct. Competent individuals not only know these codes but also apply them to real-world situations, ensuring their actions align with professional ethical standards.

Critical Thinking: Competence in ethical principles requires critical thinking skills. Individuals can critically evaluate ethical arguments, identify flaws in reasoning, and construct well-reasoned counterarguments.

Cultural Sensitivity: Ethical competence also involves being sensitive to cultural differences and understanding how ethical principles may vary across different cultures. Competent individuals are respectful of diverse perspectives and adapt their ethical decision-making accordingly.

Accountability: Competent individuals take responsibility for their ethical decisions and actions. They understand the consequences of their choices and are willing to be held accountable for the ethical implications of their behavior.

Continuous Learning: Ethical competence is not static; it requires continuous learning and reflection. Competent individuals stay updated with evolving ethical norms and engage in ongoing self-reflection to enhance their ethical decision-making skills.

In summary, competence in ethical principles goes beyond theoretical knowledge; it encompasses the practical application of ethical theories, moral reasoning, adherence to professional codes of conduct, critical thinking, cultural sensitivity, accountability, and a commitment to continuous learning and improvement.

Competence is built over time and M&E teams should invest resources to ensure that the team is continuously improving their skills in the field. A balance should be struck between what an organization can offer , what the beneficiaries are accustomed to and the donors' requirement.

What is the core competence principle?
What are core competencies and how can they lead to success?
For any organization, its core competency refers to the capabilities, knowledge, skills and resources that constitute its "defining strength." A company's core competency is distinct, and therefore not easily replicated by other organizations, whether they're existing competitors or new entrants into its market.

how capable the project team is capable of collecting project data without error and proper is paramount to data colection

Ensuring that your team possesses both technical and cultural skills for M&E processes is crucial to avoid unintended harm or inaccuracies in data presentation, and if lacking the necessary skills, it is advisable to decline running specific M&E processes to maintain integrity. Additionally, ongoing investment in professional education is vital for continuous improvement.

As an M&E specialist it is vital to utilize the tools that you are familiar with to be efficient in conducting your duties. Furthermore, it is important to encourage program teams and yourself to continuously improve skills through enrolling in various courses /trainings. This tactic will ensure that your team is upto date with the emerging M&E trends.

we all should improving our skills daily

This course will add more confidence to collect data as a M&E, but I am curious to learn more skills to be well equipped person

You should ensure cultural and technical skills to carry out M&E processes and also decline to run them if you ain't equipped enough and improve your skills

Competence it mean you have hability to do and understand work in right way

Get a good information before to do somethingbeauce we have different culture and some time some people will be reject

As an M&E specialist, there is a set of core competencies, relevant to the changing world of work. M&E is really all about strategy and about understanding change. it is about remaining dynamic and responsive ,one must be a strategic thinker and apply systems thinking when approaching work. They must apply their analytic mind. Data skills are vital.
ther. Coupled with strong analytical skills, a knowledge of how to analyse and visualize data is key. This may include having a good command of data analytic and visualisation software. If you enjoy presenting and communicating stories of change using data,report writing and presentation are key.To build advocacy, and most importantly, to provide feedback to programme, to ensure that impact is optimised. Be eager and creative.one must pay attention to details. one must be resilient and stakeholder management skills

Le cours est vraiment intéressant

je me retrouve beaucoup dans ce module

It is very important to recognize the limitations of your system.

The honesty principle would enable teams to be modest in accepting whether the Capacity is there to run an M&E system.

It is very important to recognize the limitations of your system.

The honesty principle would enable teams to be modest in accepting whether the Capacity is there to run an M&E system.

Discussion on the Principle of Competence in Monitoring and Evaluation (M&E)
Importance of Competence:

Discuss the significance of competence in M&E and how it contributes to the reliability and ethical conduct of data collection, management, and analysis.
Technical Skills vs. Cultural Skills:

Explore the distinction between technical skills (e.g., survey design, data security) and cultural skills (e.g., understanding local gender dynamics, language proficiency) in the context of M&E.
Share experiences highlighting situations where lacking either type of skill impacted M&E processes.
Reflecting on New Processes:

Encourage participants to reflect on the introduction of new M&E processes and tools. When faced with new ideas, how can teams assess whether they have the required skills to implement them effectively?
Cultural Sensitivity:

Discuss the role of cultural sensitivity in M&E and how it influences interactions with stakeholders, especially in diverse or unfamiliar settings.
Share examples of successful M&E initiatives that demonstrated cultural competence.
Handling Limitations:

Explore strategies for handling situations where teams identify a lack of skills for a specific M&E process. What are the ethical considerations in declining to run certain processes?
Balancing Donor Requirements and Competence:

Discuss challenges related to donor requirements that may conflict with the team's competence level. How can organizations navigate this tension while upholding ethical standards?
Investing in Continuous Learning:

Share insights on creating a culture of continuous learning within M&E teams. How can organizations support ongoing professional development to enhance competence?
Discuss the benefits of investing in training programs, workshops, and courses to improve technical and cultural skills.
Mitigating Risks of Incompetence:

Brainstorm proactive measures to mitigate the risks associated with incompetence in M&E, such as pilot testing, peer reviews, or engaging external experts when needed.
Practical Examples:

Participants can share practical examples where competence played a crucial role in the success or failure of an M&E initiative.
Discuss lessons learned from situations where teams faced challenges due to a lack of competence.
Adapting to Evolving Tools:

Explore strategies for adapting to new tools and technologies in M&E while ensuring that the team acquires the necessary skills to use them effectively.
Share success stories of teams successfully adopting new tools by prioritizing skill development.
Ethics and Competence:

Discuss the ethical considerations associated with competence, emphasizing the responsibility of M&E professionals to only engage in processes where they can ensure accuracy and cultural appropriateness.
Future Trends in M&E Skills:

Look ahead to future trends in M&E and the skills that might become increasingly important. How can teams prepare for these changes to maintain competence?

Ensuring that your monitoring and evaluation (M&E) team possesses the necessary cultural and technical skills is crucial for the successful and ethical implementation of M&E processes. Here are key considerations and actions to take:

Assess Cultural and Technical Skills:

Evaluate your team's technical skills related to M&E processes, such as survey design, data security, and stakeholder mapping.
Consider cultural skills, including language proficiency, understanding of local gender dynamics, and awareness of privacy norms.
Reflect Before Implementing New Processes:

Before adopting new M&E processes or tools, assess whether your team has the requisite skills.
Reflect on potential cultural challenges that may arise during data collection and analysis.
Example: If conducting interviews, consider the local cultural dynamics to ensure a respectful and inclusive approach, avoiding unintentional harm.

Decline Processes Without Adequate Skills:

If your team lacks the necessary skills, consider declining to run specific M&E processes.
Communicate transparently with stakeholders, including donors, about the limitations and challenges your team faces.
Example: If digital data collection methods are beyond your team's current capabilities, opt for traditional methods until the necessary skills are developed.

Communication and Transparency:

Clearly communicate the limitations of your team's skills to stakeholders.
Be transparent about areas where improvement is needed and outline plans for ongoing skill development.
Example: Clearly state to donors if certain types of data collection are challenging due to skill limitations, and express the commitment to improving those skills.

Continuous Learning and Professional Development:

Prioritize ongoing learning and professional development for yourself and your team.
Identify relevant courses, workshops, or training programs to enhance both technical and cultural competencies.
Example: Encourage team members to enroll in courses or workshops that address specific skill gaps, such as language proficiency or data security.

Ensuring that your monitoring and evaluation (M&E) team possesses the necessary cultural and technical skills is crucial for the successful and ethical implementation of M&E processes. Here are key considerations and actions to take:

Assess Cultural and Technical Skills:

Evaluate your team's technical skills related to M&E processes, such as survey design, data security, and stakeholder mapping.
Consider cultural skills, including language proficiency, understanding of local gender dynamics, and awareness of privacy norms.
Reflect Before Implementing New Processes:

Before adopting new M&E processes or tools, assess whether your team has the requisite skills.
Reflect on potential cultural challenges that may arise during data collection and analysis.
Example: If conducting interviews, consider the local cultural dynamics to ensure a respectful and inclusive approach, avoiding unintentional harm.

Decline Processes Without Adequate Skills:

If your team lacks the necessary skills, consider declining to run specific M&E processes.
Communicate transparently with stakeholders, including donors, about the limitations and challenges your team faces.
Example: If digital data collection methods are beyond your team's current capabilities, opt for traditional methods until the necessary skills are developed.

Communication and Transparency:

Clearly communicate the limitations of your team's skills to stakeholders.
Be transparent about areas where improvement is needed and outline plans for ongoing skill development.
Example: Clearly state to donors if certain types of data collection are challenging due to skill limitations, and express the commitment to improving those skills.

Continuous Learning and Professional Development:

Prioritize ongoing learning and professional development for yourself and your team.
Identify relevant courses, workshops, or training programs to enhance both technical and cultural competencies.
Example: Encourage team members to enroll in courses or workshops that address specific skill gaps, such as language proficiency or data security.

Competence is the other important principle in M&E process. Specially in data collection, data analysis and data representation. Competence refers to the minimum required skills and knowledge to carry out a specific task. M&E process with out technical skills will produce derailed and incomplete result. Technical know-how of collecting data, analysis of data and representation of data will lead more accuracy of the findings and impact of M&E. lack of cultural skills leads to collect partial and undesired information which also hampers both the project implementation and M&E process. Having ambitious M&E process beyond the capacity and know how also hamper the M&E process. Thus, M&E process should be carried out based on available resources and know how by realizing the limits. For the effective M&E, continuous learning, new skills has to be imparted to staff members.

I think competence skill is crucial for data collection, management and analysis.

In relation to the competence concern, I would advise organization to motivate members on the project team to always go for capacity building for them to be more efficient and effective in their roles.

Competence as an Ethical Principle in M & E demands that practitioners possess both cultural and technical skills necessary to navigate their project implementation environment complexities and ensure data collection, analysis, and reporting are ethical, accurate, and impactful.
A vary important aspect often ignored is Cultural Competency in terms of understanding social dynamics: Recognizing the diverse ethnic, religious, and gender dynamics within communities is crucial to avoid biases and ensure data collection methods are culturally appropriate. Engaging with traditional leadership structures and respecting local communication practices are vital for building trust and ensuring participation.
Another helpful dimension of Cultural Competency is Language skills: Fluency in local languages, dialects, and nuances is essential for effective communication and avoiding misunderstandings. Hiring local data collectors and translators familiar with the specific context strengthens rapport and data accuracy.

Technical Competency on the other hand focus on:
*Data collection skills: Mastering survey design, interview techniques, and sampling methods ensures data is representative and reliable. Understanding local data collection challenges like limited literacy or technology access necessitates adaptable approaches.
*Data analysis and interpretation: Strong statistical skills and familiarity with relevant software are necessary to draw accurate conclusions from the data. Presenting findings in culturally relevant formats, such as visuals or storytelling, facilitates understanding and engagement.

Improving Competence for Effective M & E:
*Invest in training and capacity building: Equip M&E practitioners with cultural competency workshops, language training, and technical skills development programs tailored to the specific context of Northern Nigeria.
*Promote local partnerships: Collaborate with local community organizations, traditional leaders, and researchers who possess deep cultural understanding and can guide data collection and analysis.
*Embrace participatory approaches: Involve communities in all stages of the M&E process, from setting project goals to interpreting data and designing interventions. This fosters ownership, builds trust, and ensures interventions are culturally relevant.

By integrating cultural and technical competence into M&E practices, practitioners can deliver ethical, accurate, and impactful projects that truly serve the needs of communities. Remember, competence is not just a technical skill; it's a commitment to understanding, respecting, and working effectively within the unique cultural context of the region or environment of your project.

wow, this is interesting to know about competence as an M&E officer. i wanted applying for a job and after going through the requirements i figured i need to understand some basic principles and that's why i opt in for this course and i am happy to what am learning, its really educating.

Competence as an ethic has taught me that skills can be technical and culturally. Technical is where a M and E Officer is capable of implementing M & E tools for example designing of survey tools whereas culturally is the know how of the norms of the society. They are both important to be executed for they are cardinal in data collection.

Denying a donor , to run M&E processes due to lack of cultural norms fluency,seems a thing that can't happen because before collecting data you survey the area ,the problem and plan for M & E process

Denying a donor , to run M&E processes due to lack of cultural norms fluency,seems a thing that can't happen because before collecting data you survey the area ,the problem and plan for M & E process

Denying a donor , to run M&E processes due to lack of cultural norms fluency,seems a thing that can't happen because before collecting data you survey the area ,the problem and plan for M & E process

To ensure that Monitoring and Evaluation (M&E) practices cause no harm to participants, stakeholders, or other people, and to address the concerns raised in your scenario, you can follow these specific steps:

1. User-Centric Data Collection:
   Design data collection processes to be user-friendly, minimizing stress, confusion, and time demands on participants.
   Use simple and intuitive tools and methods, avoiding unnecessary complexity.
2. Informed Consent:
   Prioritize obtaining informed consent from participants, ensuring they understand the purpose, risks, and benefits of data collection.
   Clearly communicate the details of participation and provide opportunities for questions.
3. Legal and Ethical Compliance:
   Familiarize yourself with relevant laws and regulations governing data collection, especially when working with vulnerable populations.
   Ensure strict adherence to ethical guidelines and obtain necessary approvals from ethics committees.
4. Anonymity and Confidentiality:
   Keep participant data anonymous whenever possible to protect privacy.
   Establish and uphold confidentiality agreements, limiting access to those with explicit permission.
   Regularly review and update security measures to prevent data breaches.
5. Transparency in Data Handling:
   Clearly communicate to participants how their data will be handled and stored.
   Be transparent about the measures taken to ensure data security and confidentiality.
6. Risk Assessment:
   Conduct a thorough risk assessment to identify potential harms associated with data release.
   Develop strategies to mitigate risks and protect participants from harm.
7. Equity Considerations:
   Assess potential impacts on existing social inequities and work to avoid reinforcing stereotypes.
   Consider how data may be used to exacerbate inequalities and take steps to mitigate these risks.
8. Stakeholder Engagement:
   Engage with stakeholders, including participants, throughout the M&E process to gather input and address concerns.
   Consider the perspectives of all involved parties to ensure a comprehensive understanding of potential impacts.
9. Regular Ethical Reviews:
   Conduct periodic ethical reviews of your M&E practices to identify and address any emerging concerns.
   Seek external input, such as ethical review boards or community representatives, to enhance objectivity.
10. Strategic Communication:
    Develop a communication strategy to responsibly share findings and insights from the M&E process.
    Provide context and emphasize the limitations of the data to avoid misinterpretation.
11. Advocacy for Responsible Data Use:
    Advocate for responsible data use among stakeholders and the broader community.
    Highlight the importance of interpreting data accurately and avoiding misuse that could cause harm.
    By integrating these considerations into your M&E practices, you can minimize the potential for harm to participants, stakeholders, and other individuals involved in the data collection process. It's crucial to foster a culture of ethical awareness and continuous improvement to ensure the responsible and beneficial use of collected data.

Storing data in safe way.

Always improve your skills and technical abilities as an M&E personnel to avoid any error that can in the long run cause harm

Your competence as an M&E personnel goes a long way in ensuring you keep executing duties with the highest form of professionalism, which in turn also ensures your organization goals and objectives are met.

Competence in Monitoring and Evaluation (M&E) refers to the ability, knowledge, skills, and capacity of individuals or organizations to effectively plan, implement, and manage M&E activities. Competence is crucial for ensuring that M&E processes generate reliable and meaningful information to assess the performance, results, and impact of programs or interventions.

This is the more essential part of data collection. In data collection design, as the M&E officer you have to know what kind of technical skills your team needs. Apart from this, you should also figure out the cultural constraints in the targeted area. For solving cultural problems you have to recruit local staff,

Competence in data refers to the ability to effectively manage, analyze, interpret, and derive insights from data. In today's data-driven world, individuals and organizations need to be proficient in various aspects of data to make informed decisions and derive value from the vast amounts of available data.
Here are the key areas of competence in data:

1. Data Collection, 2. Data Analysis, 3. Data Visualization, 4. Data Management, 5. Domain Knowledge, 6. Ethical Considerations,7. Continuous Learning:

we must to make sure what is responsibilities and knowledge of our staff or not?

This means that your team should ensure that you have the cultural (mapping stakeholder needs, storing data securely and designing surveys) and technical skills (language ability, understanding of local gender dynamics and understanding local attitudes towards privacy) to carry out M&E processes.
My team should also decline to run M&E processes that we are not equipped to do well and endeavor to continually improve our skills.
Identify and avoid potential areas where your data may exacerbate existing inequities.

Aishah's plan may violate then 'Do no harm" principle. this is because no matter how you are extremely careful about collecting and presenting accurate data without any prejudice, there is no guarantee that the donors will be so careful.

Still under 'Do no harm' Aishah will have to ensure that all participants give informed consent to collect and use their data. In an effort to understand whether the academic program is working, the students will have to be tested meanwhile the length and number of these tests , can cause children to spend too much time preparing and too little time participating in other worthwhile activities; which can damage the educational experience of the participants.

Finally even though Aishah can decline to run the M&E process, its worth noting that it may not always be possible to decline to do so and in situations like this, Aishah should be very clear with all stakeholders about the limitations of the data collection process in order not to break the Honesty principle.

Competence is critical area, at times you may present report which is not true or which is harmful not because you wanted but because you lack competence.
For example when i noted that i lack competence in M&E area thats why i enrolled with Philanthropy University inorder to improve my competence.

In M&E processes you have to be competent in that you should provide skilled professional services . One should also all decline to do M&E processes that they are not well equipped to do.

In my point of view the Competence plays a vital role in ensuring accurate data collection, utilizing appropriate analysis techniques, and effectively presenting findings. It is important to communicate the results in a clear and understandable manner, using visual aids when necessary. By upholding these principles, we can ensure that our M&E efforts are reliable, informative, and contribute to informed decision-making.

Competence and the other principles of honesty and do no harm have a very clear inter-relation. By communicating your competence levels you are being honest and all that is with an intention to do no harm. Quite interesting.

Measuring competence requires a lot. Having the Technical Skills and Cultural Sensitivity, both parallel to one another for successful results. The best way I feel an M&E team should to is for Continuous Capacity Building of the team.

An efficient team will produce effective results. Whilst prioritizing the objective of the project for the beneficiaries, the M&E Manager should also value the capacity of his team. This will reduce inconsistency and poor reporting.

When handling an M&E project, you need to make sure that you have both cultural and technical skills to handle it. These cultural skills may be evaluated in terms of the ability to communicate well with the respondents, understanding the respondents gender dynamics and understanding the attitude of the respondents towards privacy. Technical skills includes the ability to map the areas of study, understanding the appropriate data storage and understanding how to design the questionnaires.

Another most important thing is running an M&E process that you understand so well. This means that you should stick to the methods you understand and also doing courses related to M&E to sharpen your skills.

Competency is all rounded. It means that the concept of competence spans from data collection to data analysis.

Eu gostaria de ter mais habilidades técnicas olhando para a dimensão do projecto e fazê-lo no momento oportuno, assim que eu certificar que estou capacitados para executar estas ferramentas com perfeição e tratará ganho para a organização.

As duly stated in this module, If you are handed a task that you do not feel equiped to handle, reach out to your supervisor with this complaint.
Incompetence by any M&E officer can be very detrimental to the outcome of the project. it might suffer a lot of losses or even be left with incomplete findings.

Continual improvement of skills is crucial in Monitoring and Evaluation (M&E) to ensure effective and ethical data collection and analysis. Conduct a skills gap analysis to identify areas for improvement, such as technical skills in data analysis. Invest in diverse learning opportunities like training courses, workshops, and online resources tailored to your team's needs. Foster a culture of continuous learning by encouraging knowledge sharing, setting learning goals, and providing skill-building opportunities. Prioritizing skill development will enhance your team's confidence and expertise in carrying out M&E processes, leading to more accurate and impactful outcomes.

Competence is knowing is self awareness in relation to the confidence in the tools and skills you have that you can use them without having difficulties. The skills can be technical or cultural

Competence is another important principle when you see M&E principles, this refers the skills and professionalism of the subject. Before conducting data collection, you must have knowledge of tools that you might use to do data collection, never do research or M&E practices without a proper knowledge and skills to carry out data collection in your project and finally, equip your knowledge with the concept of M&E planning concepts and how to use the right tools.

M&E requires continues learning and development of skills to stay efficient, therefore to increase competence requires capacity building

Competence is very crucial it needs a skill to complete your duties without it you will mess-up your work or organization reputation. Your team need to be skilled send them to be training to equip themselves.

o princípio da competência afirma que só deve utilizar ferramentas ou processos quando estiver confiante de que possui as competências (tanto culturais como técnicas) para utilizá-los com competência.

Competence in the context of data collection to data use refers to the proficiency, knowledge, and skills required to handle data effectively and ethically throughout the entire data lifecycle. Competent individuals and organizations are equipped to collect, process, analyze, and use data responsibly. Here are key aspects of competence in the data context:

Data Collection Expertise: Competent data practitioners possess the necessary skills to design and conduct effective data collection processes. This includes selecting appropriate methods, ensuring data quality, and obtaining informed consent from participants.

Ethical Considerations: Competence involves a deep understanding of ethical considerations related to data, including privacy, confidentiality, and consent. Competent individuals and organizations adhere to ethical standards and legal requirements governing data collection and use.

Data Processing and Analysis: Competence extends to the processing and analysis of data. Proficiency in statistical methods, data manipulation techniques, and analytical tools is crucial for drawing accurate and meaningful insights from the collected data.

As researchers, we frequently have to conduct interviews with persons whose cultural backgrounds we are unfamiliar with. We should take the necessary time to understand their language, cultural norms, and ability to communicate in other ways.

• We should also consider the gaps in our knowledge of their society that exist as scholars. The inability to clearly express the data that is gathered due to language barriers may further compromise the accuracy of the results.
• While cultural skills can take some time to acquire, technical skills should be developed beforehand.
• Perhaps doing a pilot study with the target population can assist identify potential obstacles to the main study. Once those obstacles are identified and solutions are found, the main study can be started.

reinforcing my technical skills . Taking courses related to this topic

reinforcing my technical skills . Taking courses related to this topic

reinforcing my technical skills . Taking courses related to this topic