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To ensure that monitoring and evaluation (M&E) practices cause no harm to participants, stakeholders, or other people, several key principles and strategies should be followed:
Informed consent: Obtain informed consent from all participants before collecting data, ensuring that they understand the purpose of the data collection, how their information will be used, and any potential risks or benefits involved.
Privacy and confidentiality: Protect the privacy and confidentiality of participants by anonymizing data, using secure storage and transmission methods, and ensuring that only authorized individuals have access to the data.
Respect for cultural norms and values: Respect the cultural norms, values, and beliefs of participants and stakeholders, ensuring that M&E practices are culturally sensitive and do not impose Western-centric perspectives or practices.
Do no harm: Consider the potential risks and unintended consequences of M&E activities, taking proactive steps to mitigate any negative impacts on participants, stakeholders, or the broader community.
Equity and inclusion: Ensure that M&E practices are inclusive and accessible to all participants, regardless of factors such as gender, age, ethnicity, socioeconomic status, or disability. This may involve using diverse data collection methods, providing accommodations for individuals with disabilities, and actively seeking input from marginalized or underrepresented groups.
Transparency and accountability: Be transparent about the purpose, methods, and findings of M&E activities, providing participants and stakeholders with clear and accessible information about how their data will be used and ensuring that they have opportunities to provide feedback and raise concerns.
Continuous monitoring and learning: Regularly monitor and evaluate M&E practices to identify any potential harms or ethical concerns, and take prompt corrective action to address them. Foster a culture of learning and adaptation within the organization or project team, encouraging reflection and dialogue on ethical issues related to M&E.
By adhering to these principles and implementing these strategies, organizations can minimize the risk of causing harm through their M&E practices and ensure that their efforts contribute to positive social impact in an ethical and responsible manner.
Je pense que dans le processus de récolte des données, nous devons à tout prix respecter le principe de ne pas nuire afin de protéger les personnes qui prennent part à notre enquête. Cela dans l'objectif de leur protéger contre toute représailles qui proviendrais de la divulgation de leurs informations
Je pense que dans le processus de récolte des données, nous devons à tout prix respecter le principe de ne pas nuire afin de protéger les personnes qui prennent part à notre enquête. Cela dans l'objectif de leur proteger contre toute represailles qui proviendrais de la divilgation de leurs informations
Why is it necessary to consider privacy and confidentiality when collecting data?
Why is it necessary to consider privacy and confidentiality when collecting data?
Why is it necessary to consider privacy and confidentiality when collecting data?
The discussion revolves around the ethical principles of data collection and use, emphasizing the importance of the "Do No Harm" principle in monitoring and evaluation (M&E) practices. Organizations engaged in data collection must prioritize the dignity, well-being, and self-worth of individuals.
The Do No Harm principle involves:
Participant Experience: Considering the impact of data collection on participants, ensuring that the process is simple, intuitive, and not overly burdensome or stressful.
Informed Consent: Ensuring participants fully understand the risks involved in data collection and provide informed consent. This is especially critical in medical research or when working with vulnerable populations such as children or prisoners.
Anonymity and Confidentiality: Keeping data anonymous and confidential to protect participants from potential harm. This includes safeguarding sensitive information that could damage individuals' reputation or safety.
Addressing Inequities: Being mindful of how data could exacerbate existing inequities. Organizations must consider how data may be used by others, including potential misuse that could harm vulnerable groups.
Organizations should strive to follow these ethical principles to avoid causing harm to participants, stakeholders, or other affected individuals. This includes careful design and execution of M&E processes, keeping in mind the potential consequences of data misuse. Ultimately, ethical data collection and use ensure trust and integrity in the research process and outcomes.
The discussion revolves around the ethical principles of data collection and use, emphasizing the importance of the "Do No Harm" principle in monitoring and evaluation (M&E) practices. Organizations engaged in data collection must prioritize the dignity, well-being, and self-worth of individuals.
The Do No Harm principle involves:
Participant Experience: Considering the impact of data collection on participants, ensuring that the process is simple, intuitive, and not overly burdensome or stressful.
Informed Consent: Ensuring participants fully understand the risks involved in data collection and provide informed consent. This is especially critical in medical research or when working with vulnerable populations such as children or prisoners.
Anonymity and Confidentiality: Keeping data anonymous and confidential to protect participants from potential harm. This includes safeguarding sensitive information that could damage individuals' reputation or safety.
Addressing Inequities: Being mindful of how data could exacerbate existing inequities. Organizations must consider how data may be used by others, including potential misuse that could harm vulnerable groups.
Organizations should strive to follow these ethical principles to avoid causing harm to participants, stakeholders, or other affected individuals. This includes careful design and execution of M&E processes, keeping in mind the potential consequences of data misuse. Ultimately, ethical data collection and use ensure trust and integrity in the research process and outcomes.
Do no harm: Do not intentionally or unintentionally cause physical, emotional and reputation damage all participants of your project. This is done by
Indeed, it is very important to ensure that the research does not inflict any harm on the participants. And in other to ensure this, several actions need to be taken by the interviewer which include
To adhere to the ethical principle of Do No Harm in Monitoring and Evaluation (M&E) practices, it's essential to prioritize participant well-being by designing data collection processes that are intuitive and non-intrusive, obtaining informed consent while adhering to legal and ethical guidelines, safeguarding participant privacy through anonymization and confidentiality measures, mitigating potential risks of harm or misuse of data, and continuously evaluating and adapting practices to minimize negative impacts and uphold the dignity of all individuals involved.
To adhere to the ethical principle of Do No Harm in Monitoring and Evaluation (M&E) practices, it's essential to prioritize participant well-being by designing data collection processes that are intuitive and non-intrusive, obtaining informed consent while adhering to legal and ethical guidelines, safeguarding participant privacy through anonymization and confidentiality measures, mitigating potential risks of harm or misuse of data, and continuously evaluating and adapting practices to minimize negative impacts and uphold the dignity of all individuals involved.
To ensure that monitoring and evaluation (M&E) practices do no harm, it is crucial to design ethical data collection methods that minimize participant burden, ensure informed consent with clarity and transparency, and maintain strict standards for anonymity and confidentiality. By doing so, M&E activities respect participants' rights and safeguard their well-being, ensuring that data collection and analysis cause no harm while providing valuable insights.
According to Pierre Bourdieu, when people become the object of our study there's an asymetrical relationship to them as the interviewer mantains the control of the situation. Subjects or interviewers get to select who is fit or representative of the population being studied and they also choose which questions are relevant to achieve this knowledge. The study's objects, on the other hand, must accomodate to their requirements and hope to give the answer they are seeking for.
Giving this asymetric relationship described, it's vital in the ethics of an investigation to make sure you respect and do no harm the objects of the social study. That's why is so important they are given all the relevant information and we are honest and clear about our intentions, leveling the field. Being discrete about the personal information given is also a major priority, as it is abstaining to the goals of your study. The privacy that our objects of study confine us must be respected and treasured at all times.
I have learned that one of the ethics of Monitoring and Evaluation is Do No Harm. This ethic is to ensure that the M&E does not impose any harm on the participants. In achieving this, several principles must be adopted including considering the experience of the participants, ensuring that all participants give informed consent to collect and use their data, ensuring that, when appropriate, participant data is kept anonymous and confidential, and identifying and avoiding potential areas where your data may exacerbate existing inequities.
From the above example, where my data suggests that some of the people belonging to this group (lower status group of individuals) have committed crimes I could not let the data I released be used by political opponents to further damage this group of people because I promised them that the data collected from them would be kept anonymous and confidential.
The “Do No Harm” principle encourages individuals to act in ways that promote safety, well-being, and fairness. It reminds us to consider the potential consequences of our actions and strive to minimize harm to others.
I'm working with the refugee and sometime after an activity some of them don't wont to share their nationality. This part of the module is very helpful
Do no harm principle is especially critical where there are underlying issues, conflicts, or problems.
it is important to not harm or damage emotional, physical and reputational aspect of respondent's life
this is really true according to my experience working as enumerator i could feel bad on some of assessment that we used to conduct that they were causing emotional damages to the beneficiaries because they were not told the exact purpose of our surveys and they had hope of getting something at the end of the project. therefore this an important principle to follow in M&E
that's what i have been experiencing as well my time as a research assistant at a refugee camp because we couldn't disclose the actual purpose of some surveys.
When considering the principle of "Do no harm" in the context of monitoring and evaluation (M&E) on ethics, particularly about data collection and usage, there are several potential areas that need to be addressed to mitigate the risk of exacerbating existing inequalities or causing harm. Here are some key considerations:
Identify potential areas where your data may exacerbate existing inequalities:
Ensure all participants give informed consent to collect and use their data:
Ensure that, when appropriate, participant data is kept anonymous and confidential:
Additionally, it is crucial to establish an ethical review process or oversight committee to review the data collection and analysis methodologies, assess potential risks and biases, and provide guidance on mitigating any ethical concerns. Regular monitoring and evaluation of the data collection and usage processes should be conducted to identify and address any emerging issues promptly.
By proactively addressing these considerations, organizations can demonstrate their commitment to ethical data practices, minimize the risk of causing harm or exacerbating existing inequalities, and foster trust among participants and stakeholders.
Data collection
Do no harm
L'éthique constitue une étape fondamentale et incontournable dans tout le processus de collecte et d'utilisation de données. Elle interpelle la conscience dans la manipulation des données.
I believe it is important to keep participants at the forefront of the mind when crafting programs and M&E processes. All too often, I believe that the mistakes made by scientists and public health practitioners could have been avoided if there was a stronger commitment to "do no harm". No harm to participants, no harm to the general populace, and no harm to the field of study.
In my journey in the public health space I have learned that there is an objective way to ensure we are "doing no harm" and that is total transparency and humility as it relates to solutions being proffered to problems.
Its very important to think about other people and learn to create no harm meaning protect the data of the participants.
In this module , we understand the importance of keeping the information collected from individuals anonymous and confidential. Otherwise ,the people can be harmed. With this, we have to take into consideration:
1.How to collect our data without hurting others.
Its an important module and I have learnt the no harm rule
Does the 'do no harm' principal relate to safeguarding in the perspective of data collection?
Honor the dignity, well-being, and self-worth of individuals. Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
Honor the dignity, well-being, and self-worth of individuals. Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
Honor the dignity, well-being, and self-worth of individuals. Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
learned that Ethics have an important role in guiding standards of behaviour with our respondents, our partners and the wider society, and can help respond to the question: are we doing what is right?
Honor the dignity, well-being, and self-worth of individuals. Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
In ensuring that monitoring and evaluation (M&E) practices cause no harm, ethical principles must guide every step of data collection. First, the experience of participants should be prioritized: data collection processes should be simple, intuitive, and efficient, minimizing stress and confusion. This can be achieved by designing user-friendly interfaces and clear instructions. Second, obtaining informed consent is crucial to respect participants' autonomy and protect them from risks they might not fully understand. This is particularly vital when working with vulnerable groups or in sensitive research areas. Third, maintaining the anonymity and confidentiality of participant data safeguards against potential harms such as reputational damage or safety risks. Strong data protection measures should be implemented to honor these commitments. Lastly, identifying and mitigating potential biases and inequities in data collection and reporting is essential. This involves critically assessing how data could be misinterpreted or misused to harm certain groups and ensuring that findings are presented accurately and responsibly.
Honor the dignity, well-being, and self-worth of individuals. Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
Ethical Data Collection Practices in Organizations: Ensuring 'Do No Harm' to Stakeholders
Of course! The data might be correct, however, the release of this data might not be well-taken by politicans and other mid or higher status people, as they have a prejudice against these study groups (low status). So, they might device to systematically attack the benefits and rights of all low status people by taking this data as proof of their pre-defined perceptions
Certainly! Let's delve into the ethical considerations raised by this scenario.
Sampling Bias and Representativeness:
Ethnic Homogeneity:
Perceptions of Gender Equity:
Transparency and Informed Consent:
Contextual Factors:
In summary, ethical research practices require careful consideration of sampling methods, transparency, and cultural sensitivity. By addressing these concerns, your team can ensure a more robust and meaningful exploration of gender equity attitudes.
True it's necessary to consider do not harm principles
It is very important to make sure that the data collected for a given project does not in any way harm the participants. Ensuring that the participants consent to giving the information and their information protected from unauthorized users.
Consider the experience of participants when designing data collection processes. Avoid making it overly time-consuming, stressful or confusing.
Ensure all participants provide informed consent to participate and understand how their data will be used. Follow relevant laws and regulations.
Keep participant data anonymous and confidential whenever appropriate to protect privacy and safety.
Identify potential ways your data could be misused to exacerbate existing inequities or harm vulnerable groups, even if unintentional. Consider how others may interpret and apply your findings.
The main ethical considerations are minimizing burden on participants, obtaining informed consent, protecting confidentiality, and anticipating unintended negative consequences from data collection and reporting. Careful planning is needed to ensure M&E practices do no harm.
Do No Harm - When conducting a research and gathering data it is important to be principled about it, meaning that every data being collated must be done in a way that doesn't cause harm, doesn't damage the self-worth, or cause physical harm to the individuals involved.
Para garantir que as práticas de Monitoramento e Avaliação (M&E) não causem danos aos participantes, partes interessadas ou outras pessoas, é fundamental adotar abordagens éticas, sensíveis e inclusivas ao longo de todo o processo. Aqui estão algumas diretrizes e considerações para alcançar isso:
Conclusão
Garantir práticas éticas em M&E é essencial para proteger os direitos e o bem-estar dos participantes. Ao adotar medidas para minimizar o estresse, garantir a representatividade, proteger a confidencialidade e ser transparente e responsável, as organizações podem conduzir M&E de forma ética e eficaz, promovendo a confiança e a colaboração com todas as partes envolvidas.
To ensure that Monitoring and Evaluation (M&E) practices do not cause harm to participants, stakeholders or others, it is essential to adopt ethical, sensitive and inclusive approaches throughout the entire process. Here are some guidelines and considerations for achieving this:
Conclusion
Ensuring ethical practices in M&A is essential to protect the rights and well-being of participants. By taking steps to minimize stress, ensure representation, protect confidentiality and be transparent and accountable, organizations can conduct M&A ethically and effectively, promoting trust and collaboration with all parties involved.
It ensures that the dignity, well-being, and self-worth of individuals are honored by
To ensure that monitoring and evaluation (M&E) practices cause no harm to participants, stakeholders, or other people, consider the following guidelines:
To my understanding is essential for every organization to have a Do No harm Plicy as this will benefit the organisation in wider level of social engament with people ,community and society at large.
It is critical to consider the well-being and safety of participants over all other project-related considerations and seek informed consent before data collection.
Letting the participant talk more, helps the one collecting data understand their view much better and it helps the participant feel respected and acknowledged.
A form motivation can help when collecting data to help the participants engage more.
In any collection of data may have area of few ,for example some group of low or politicians. Belong to data collection it may be very serious to release the openent ,it will be cause disrespectfully or violence