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Do no harm is to avoid exposing people to additional risks through an action. It further means taking a step back from an intervention to look at the broader context and mitigate potential negative effects on the social fabric, the economy and the environment.
For an organization or party to ensure the M&E practices do not cause harm to people, they shouild esnure the following;Consider the experience of the yputh participants,ensure b that all participants give informed consent to collect and use their data,ensure that apprppariate data is kept anonymous and confidential and lastly be able to identify and avoid potential areas where their data may exacerbate existing inequities.

No, because after carefully ensuring my data adhered to the four (4) Do no harm ethical principle. Political opponents wouldn't have requisite data or information to further damage or blame the group of people my organisation is working with.

in this principle we actually consider that all participants give informed consent to collect and use their data.
secondly you ensure that the participants data is kept confidential and anonymous whereby you don't link it to the information provider.
in this principle, as your collecting data ensure that you consider the experience of your participants.

Do no harm
This is a very important topic in data collection, honoring the dignity, selfworth and wellbeing of people you're collecting data from is very important. It is exttemely important to make sure that there are processes in place for data collected to be kept in a safe and lockable place where it can be accessed by relavant people for data analysis and decision making, otherwise if the data is not kept safe it can harm the very people you're trying to help. The information collected must have intergrity at all times and be used to benefit the communities to be better from what they were before collecting data for program use.

Do no harm
This is a very important topic in data collection, honoring the dignity, selfworth and wellbeing of people you're collecting data from is very important. It is exttemely important to make sure that there are processes in place for data collected to be kept in a safe and lockable place where it can be accessed by relavant people for data analysis and decision making, otherwise if the data is not kept safe it can harm the very people you're trying to help. The information collected must have intergrity at all times and be used to benefit the communities to be better from what they were before collecting data for program use.

Honesty is key in data collection and data use, it is very important not to create unrealistic expectations from your donor, limitations must be presented to the funders at all times for new ideas to arise and for the benefit of your participants

Do no harm
This is a very important topic in data collection, honoring the dignity, selfworth and wellbeing of people you're collecting data from is very important. It is exttemely important to make sure that there are processes in place for data collected to be kept in a safe and lockable place where it can be accessed by relavant people for data analysis and decision making, otherwise if the data is not kept safe it can harm the very people you're trying to help. The information collected must have intergrity at all times and be used to benefit the communities to be better from what they were before collecting data for program use.

Honesty is key in data collection and data use, it is very important not to create unrealistic expectations from your donor, limitations must be presented to the funders at all times for new ideas to arise and for the benefit of your participants. Data collected must be used to improve the lives 9f beneficiaries

Competence
It is very important to have both technical and cultural skills in data collection. Learn about the cultural and social dynamics of your beneficiaries. Sometimes youwill have to decline M&E processes that you are not equipped well to do

Questions:

1. If we find ourselves in an ethical dilemma while trying to collect data and perform our M&E, what do we do?
2. If our data, despite our carefulness in collecting and accurately presenting them, can be used by some people to cause harm, are we to end the M&E/project ?

do not harm means respect the dignity of participants , not to disclose their personal information that my cause any damge to them.

As a trained data analyst I have become aware of how crafting survey questions can be bias, skewed and leading questions. Even the analysis of a dataset should be done with an equity lens and historical facts

It is very important topic needed to understand.

That is right.

The Do No Harm principle instructs us to actively avoid causing damage.

This is extremely important as it aims at improving living condition or at worse living the society at their level without making them suffer more as a result of the intervention

The principle of ensuring no harm to the participants can be effected through elaborate explanation of the benefits and harm the study will have. This is important during the consenting process that information about the study be provided to the participant including the extent of use of the available information that will be collected from the participants.
By giving an assurance to the participants on confidentiality of information that is collected is key.
The data collection process should ensure that biased data is avoided at all costs so as to generate data that is a true reflection of the situation being analyzed. This is important in ensuring the process of implementation of programs are beneficial to the issue at hand.

Ne fais pas mal
Je pense que personne ne veut qu'on lui fasse du mal.
Donc si on se met à la place des autres, sa nous permettra d'éviter de faire du mal à quelqu'un

This data will not by any means cause damage to the group of people because the data will not be released, since it is supposed to be kept anonymous and confidential. The reputation of the people has to be safeguarded by the one's collecting the data and the data should be used for it's intended purpose. If the politicians need data regarding the group of people, they have to collect their own data for their purpose as well.

its interesting to learn how to work with data without causing harm to the participants i think this is paramount

As a trained data analyst I have become aware of how crafting survey questions can be bias, skewed and leading questions. Even the analysis of a dataset should be done with an equity lens and historical facts

In this part of the module I have learned that the way in which data collection is conducted may be harmful to the participants the data collection is done from.

There are therefore some important things to consider during data collection in order to avoid any harm that the process may cause.

According to the reading in this section, it is very important to consider the experience of the participant, provide information about reason to why you are collecting the data and make sure that the participants have consented to the provision of the data. In addition, we have got to make sure that the collected data remains confidential and anonymous so that the participants are protected.

Where there are existing imbalances between the participants the data collection process should make sure that situations, which may escalate them are avoided.

Yes, I absolutely agree that as much as we quest to change the lives of the people for better, M&E specialists should be mindful of ethics that really the results of the action yield the results that we anticipated and do no harm to the participants

We can share the information regarding the group if we have the right to share it, or sharing the information is not against the law

Do no harm as M&E you need to respect and seek for the beneficiary consent before any question need to be asked like wise make your team know how to effectively collect data in Do no harm approach.
honesty being truthful and accurate in all you do as M&E.

Do No Harm. I have worked in the field of humaniaries world for over six years, implemented emergency responses to internally displaced persons, vulnerable host communities, returnees as well as refugee support. In all circumstance any activities or intervention involve should not expose the right holders and stakeholders some time called beneficaries at risk and it should not give additional problems to the target group. It should not provide negative effect to the communities. The message should not provide segregated messages to other sector of communities. Materials for distribution should not affect communities environment. the cannal or pit latrine should not provide a breeding ground to harmful insects; mosquitoes and houseflies.

What are the limitations of do not harm principle during a project?

Most of the politicians uses data collection information to build their speech. Their using it either in worst way or good way. That is why, as an M&E person, we will be careful about not harming the participants of a given data collection.

“Do No Harm” means that be it treatment or intervention, the implementer will not, intentionally or otherwise, harm the subject. In “Ethics in HIV- Related Research ,” the types of harm are identified as emotional or psychological, social, physical, financial, legal or moral harm.

As low status groups already have pre-perceived notions about them, the unfortunate thing is that the political opponents might target the interrelated identities and capitalize on that. In addition, voting behaviors/ trends are also attributed to this.

For example, here in Kenya, it is believed that tribes will always vote for their political leader/ tribesmen despite having the information about his/ her non- ambitions/ performance while in power. With this, there is always a bias when it comes to the people's choice while voting.

The political opponents will then campaign in vernacular language thereby barring those from other tribes who might be interested in that particular leader. In addition, campaign mostly in their strongholds- where their language is spoken. When the political opponents know this, they act on a divide and rule tactic. Case in point, Kenya will be having it's election in August 2022. The environment is rife with political campaigns where the voters group has been sub-divided against the "hustlers" and the haves. In this case, due to the poverty and unemployment percentage being on the rise, the former has the highest number of people and the political opponents are using this to gain traction in their campaigns. Kenya's election has been marred with tribes and social status where the low status people vote along these divided lines.

The data collected on the unemployment rates is meant to assess how to create employment and sustainable solutions of income generation for the youth- men and women alike. However, this is not the case. The data, however, is being used to leverage on the political campaigns currently happening in Kenya.

While collecting data we must be careful about personal privacy. A person is at the center of data so if he/or she does not open to share his opinion, thought and feedback.

Engaging our human minds must correspond to helping the existence of fellow humans. Following the 'Golden rule' of do unto other what you....' M& E gives us room through the learning of ethical principles despite the variation of its nature in the uniqueness of every organization.

I would like to summarize it in a manner that; 1) Life without cautiousness in rendering support, can backfire. 2) As data collection, we must ensure we do our very best (using the tools and processes recommended by the M&E principles) to reduce the danger of harming one another, unconditionally, unconsciously or unintentionally. And Last not least, putting in place any if not all, possible measures of ensuring confidentiality is realized, rational to the context or uniqueness of the organization and the available resources; tools and skills. Thus making effort to do no harm to others as an M&E person.

Thank you.

The greatest gift in life are not purchased but acquired through hard work and determination.
I believed that working with you will develop me spiritually

It is important to ensure confidentiality of data picked from participants to build trust but as well as set precedency for future projects involved in Data collection.

information collected from our participants or beneficiaries should not be disclosed, as this information could be harmful to them

Having gone through module one on DO NO HARM; my key take away points are on the importance of obtaining consent as well as ensuring confidentiality for the safety and protection of those we work with. it is important that the communities we work with are protected at all times and ensure that our data collection processes do not bring any harm even after we present the information.

We must keep participants data anonymouse and confidential. And before releasing their data make sure to recieve their consent and if the participants are children must receive their family members consent. Also, check their data for accuracy and correcttness. Share the information that you will be releasing to ensure for any bias, inacuracy and incinsistancies. We must introduce the activity to the participants well to undertand the concept of the program and to receive their agreement to participate and gain the requiered and useful data.

Do no harm principle is very crucial to ensure openness and willingness to respond to your questions by your respondents.it boosts the confidence of your target population to participatae in your survey.

No this could not be used to harm those people by any politicien.

This is something important to consider and the data collection procedures need to be clear enough so no ambiguity is left. The informed consent form is also a great addition.

When you’re collecting data make sure you look at the principles of ethical behavior

My principle for understanding the ethical issues potentially embedded in my work is to work in a team and to have an ethical issue presentation to the organization. As I work in a team, I will be able to draw in the diverse experience of my team members and their perspectives on the surveyed questions, group discussions allow for more considerations and angles from which the data can be viewed. They further help me to cross check on my own bias. As the survey design is drafted, I will present in a session to the organization about the potential risks, ranking of the risks and seek for further advice to address any high ethical risks.

How to ensure M&E cause no harm

Ensure you don't have a lengthy questioniare that are too large, time-consuming or stressful.

The consent of the participants, (to collect and use the data collected)

Ensuring that the data are kept anonymous or confidential

You should also be careful when you have collected the data, you need to consider the people that will use the data

Do No Harm is a principle of ethical behavior in monitoring and evaluation that protects the dignity and lives of the population while carrying out the monitoring and evaluation processes. for example M&E processes like data collection should not cause physical, emotional or reputation damage among the respondents.

the population can be protected from through the following;
keeping their data confidential
considering their experience while designing data collection tools
consider their consent to data exercise by making them understand the reason as to why you want data from them

My principle for understanding the ethical issues potentially embedded in my work is to work in a team and to have an ethical issue presentation to the organization. As I work in a team, I will be able to draw in the diverse experience of my team members and their perspectives on the surveyed questions, group discussions allow for more considerations and angles from which the data can be viewed. They further help me to cross check on my own bias. As the survey design is drafted, I will present in a session to the organization about the potential risks, ranking of the risks and seek for further advice to address any high ethical risks.

The objectives or participants in a data are crucial component and maintaining their privacy and doing no harm to them is more crucial. It is better where relevant to avoid including personal identical information of the participants/objects in the dataset. For instance, where names and phone numbers serve no purpose especially for monitoring and evaluation activities, there is no need recording such information of the objects. Even where such information are obtained, it is better to keep them in hiding from the main dataset and recall them only when needed.

Do no harm" is to avoid exposing people to additional risks through our action. "Do no harm" means taking a step back from an intervention to look at the broader context and mitigate potential negative effects on the social fabric, the economy and the environment.

Its really great that the first M&E ethic is do no harm policy, this point is very importance since it keep the correspondent safe and secure and it also make data collection easier since. this is because it is easier for respondent to interact when knowing their information will be kept confidential.

It means in the work respect the ethic of the data collection

Base on this first principles Do no harm, I lean that anything that will cause problem to the person that you are colleting that data from you should not do it. don't use it political harmful work or take the time of the person if they are getting riding for exams or other work that will take their time.

it is actually very important to consider the do no harm
make sure that data collected remains completely anonymous and cannot be traced back to an individual person.
this is a very sensitive aspect the staff handling this data have to be very careful about how the handle it. it is just like a secret that the beneficiary is sharing with you and that means the person has total confidence that you are going to keep their information safe and private.

some staffs might not understand the concepts
they think because they have access to that information it is their place to give it out in cases when it Favours them.

How does the term do no harm applies to the implementation of M&E activities.?

In my own opinion, collection data for M&E purpose should be made anonymous and confidential. Revealing the details of respondents during an M&E could make the public to be more reluctant in event of participant in another survey.

Hello
Do No Harm or so called non-maleficence is very important, because every project is aimed at producing results

In this principle, you consider more of your participants if:

1. It is time consuming or stressful to them
   I this principle ,the participant maybe busy with other important activities , therefore it is advised to ensure that it doesn't take the participant's time
2. The participants data is kept confidential and anonymous
   In this regard , you do think of participant's security in terms of his/her reputation , whether the people who are going to use or read the data will keep it without causing any harm to the participant
   3.Participants give informed consent to collect and use their data
   The owner must accept that his/her data can be collected and also must know what going to happen with the data collected
   4.Identify and avoid areas where your data can increase the inequalities
   This is to try to avoid causing and increasing the problem to the already existing ones

In that case you need to find ways to control the spreading of the data or information
Sometimes we need to study those that we are sharing data if they are in the same boat with you

Not using data for purposes that might harm other/participants. Confidentiality should be key when working with data at all times.

I wil comeback alowing for me to see back a real problem befor to start back.

I completely agree with the sensitivity of sharing data with 3rd party. It is not safe & its unethical to share the data of the beneficiary without their knowledge.

Sometimes donor tries to use the beneficiary data for marketing purpose which is completely not acceptable, as a social organization we need to be careful & sometimes firm while communicating this to the donor. Any organization need to have data protection policy in place.

These are really great points that resonate with me when it comes to how we collect and use data. I believe most of these things can be developed or put in place before the data collection. For instance, making sure that you have outlined or have a safe location to store data collected.

One of essential principles of the ethical behavior within monitoring and evaluating is do not harm.
Based on data obtained from gender equity awareness in the area.
After we get the data, we have to make sure the participants in this case the women in the expensive grocery store have been informed about this data collection and will use it. the women will ask about the statement "women have worse job opportunities than men". The participants should also be aware of the risks because their opinion on gender equity will be used. in addition, they must express their opinion according to their experiences. The data that has been collected must be easy to understand, simple, and intuitive. The data should also be kept anonymous and confidential to protect their privacy and protect them from any harm. The finished data is stored in a file that is not known to anyone except the owner and processor of the data.

more light is been thrown to the impact of wrong data collection and the extend to which it can affect the entire project, stakeholders, and participants.

This is a very important part in data collection. People's reputation must be guided at all times; hence, most times, it is advisable to keep reports on anonymous and confidentiality.

Everything is fine! The course is positive

Data in most cases represents human being. The way we collect data and how it is used have a huge effect on the people we collect this informations from positively or negatively.

Confidentiality: the privacy of the individuals supplying this information must be handled with care. In my project in planning for monitoring and evaluation, It was screening for hepatitis B virus on young women at the age 17 to 20 . Imagine if a man sent his wife to participate and it appears that his wife has lied about her age.
What if after testing the wife for hepatitis B and she turns out positive.
The question is, what happens next. Should the husband be told his wife true age and hepatitis B status??

It calls for proper education for those collecting, collating , storing and analysing data on the need to handle data as a classified and sensitive material

The Do No Harm principle instructs us to actively avoid causing damage.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.

So, how can you ensure that your M&E practices cause no harm to participants, stakeholders or other people?

1.Consider the experience of your participants.

Think about the people from whom you are collecting data. What is the experience of providing data like? Is it stressful and confusing or simple and intuitive? Is it time-consuming or efficient?

2.Ensure that all participants give informed consent to collect and use their data.

In the past, many people have participated in studies without understanding the risks involved. As a result, these people have suffered.This is why it is so important to ensure that the people you are collecting data from understand exactly what they are agreeing to participate in.

3.Ensure that, when appropriate, participant data is kept anonymous and confidential.

Data is anonymous if it cannot be linked back to the individual who provided it. Data is confidential if it can only be accessed by those who have permission.
Often, when we collect information from individuals, we promise that the data will be kept anonymous and confidential. This helps us collect information about topics that people might otherwise not want to discuss.
It is extremely important that we keep these promise.

4.Identify and avoid potential areas where your data may exacerbate existing inequities.

Even if you are extremely careful about collecting and presenting accurate data without any prejudice, there is no guarantee that the people who read about your data will be so careful. This is why you should always consider how others might use your data. Could it be used to cause harm to others?

The Do No Harm principle instructs us to actively avoid causing damage.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.

So, how can you ensure that your M&E practices cause no harm to participants, stakeholders or other people?

1.Consider the experience of your participants.

Think about the people from whom you are collecting data. What is the experience of providing data like? Is it stressful and confusing or simple and intuitive? Is it time-consuming or efficient?

2.Ensure that all participants give informed consent to collect and use their data.

In the past, many people have participated in studies without understanding the risks involved. As a result, these people have suffered.This is why it is so important to ensure that the people you are collecting data from understand exactly what they are agreeing to participate in.

3.Ensure that, when appropriate, participant data is kept anonymous and confidential.

Data is anonymous if it cannot be linked back to the individual who provided it. Data is confidential if it can only be accessed by those who have permission.
Often, when we collect information from individuals, we promise that the data will be kept anonymous and confidential. This helps us collect information about topics that people might otherwise not want to discuss.
It is extremely important that we keep these promise.

4.Identify and avoid potential areas where your data may exacerbate existing inequities.

Even if you are extremely careful about collecting and presenting accurate data without any prejudice, there is no guarantee that the people who read about your data will be so careful. This is why you should always consider how others might use your data. Could it be used to cause harm to others?

It is very important to treat people well.Do not cause any harm that might affect their reputation.
Make people feel important no matter who they are.

perfectlty weel natarated on the data collection

It will have a negative impact on the group also affecting there self esteem. The government will direct all crimes committed in the community to this group because of the report.

For collecting data or using data, we need to be more aware that we should not harm others from whom we are collecting data for our professional need.

Do No Harm should focus on the well being of an individual and not to cause harm whether intentionally or unintentionally to the people affected by your work

Do not do any type of harm to an individual whether it is intentional or unintentional

How will you know that the data collected will be safe .

r communities where we helps people leaving with HIV and AIDS so information collected should be confidential .

Being professional in the trade, from data collection to processing and analysis, and in work ethics, no identified person is identified in a study report.

Do No Harm is crucial principal especially in the world of today where people tend to use other people's information to benefit themselves. Less privilege people in the society are the one who are mostly affected.

Well in such situation someone has to admit that releasing such information directly affect the group of people being represented because key information release about the situational relationship about the political groups are release and can be trace back to identify the group of people provide such information easily. so such information should be provided and shred with such kind of cautious.

The study has really broaden my knowldge on M&E Ethics. Thanks for putting the together

I do understand respecting the dignity and safety of human being is a key ethical issue in any research and evaluation activities.

Yes, it is very important to keep the anonymity of study participants.

I am also of the opinion that release of sensitive data such as political affiliations of sections and regions could lead to harm by unsuspecting individuals most especially politicians.

Do no harm - Its every import to place yourself in the place of your respondents or community you are collecting your data from. we should learn to see issues from the perspectives of those we in tend to help improve their lives.

Very Very important seek consent before collecting data, ensure anonymity clause protects the respondent.

Do No Harm is very vital in monitoring and Evaluation simply because it protects the reputation of the members of the society and that of the organisation operating in that particular society

Basically, the principle of honesty in M&E can be ensured by

• presenting accurate data

• accurately representing data

• being honest about possible limitations in collecting data

• reporting any conflict of interest.

This is really interesting. I have learnt something that i had never considered before.

I think it is most and mandatory thing to consider while collecting data.

DO NO HARM
This is one of the ethical principle which must be adhered to when collecting data.
It is very important that the data you are collecting should not infringe on the rights of the people in terms of their sexual, age, education and political alignments.

Do no harm to me means as an M&E expert you have to understand the data collected can be harmful to the person’s character

Do not, intentionally or unintentionally, cause physical, emotional or reputational damage to the people affected by your work.
Unless you are careful, your M&E processes have the potential to cause enormous harm. The Do No Harm principle instructs us to actively avoid causing damage. Even if you are extremely careful about collecting and presenting accurate data without any prejudice, there is no guarantee that the people who read about your data will be so careful. This is why you should always consider how others might use your data. Could it be used to cause harm to others? Often, when we collect information from individuals, we promise that the data will be kept anonymous and confidential. This helps us collect information about topics that people might otherwise not want to discuss.

It is extremely important that we keep these promises.

Releasing highly sensitive information, such as health, sexual or political information, can damage an individual’s reputation or safety. Even information that may not seem sensitive, such as addresses or ages, can cause harm if it is released. Imagine, for example, that you release the names and addresses of your beneficiaries. Individuals who might want to harm your beneficiaries could use your data to locate them.

Often, when we collect information from individuals, we promise that the data will be kept anonymous and confidential. This helps us collect information about topics that people might otherwise not want to discuss.

When collecting data you have to ensure that the stakeholders and personal information is stored safely and remains personal

To do no harm to my participants and stakeholders in the process of data collection

This principle is the most fundamental principle. It has a legal foundation in the international legal frameworks of humanitarian action and development aid .

Ensuring a win win situation can best explain do no harm

I think that the data or the theme of the information to be collected relates to the perception of wages and the prices of basic necessities in the market. it is a question of seeing the cost of living, and the shopping basket for an average household

Confidential

Ethics in data collection is particularly important when collecting data in rural areas where most of the people are often not well educated. Data collectors should find ways to clearly explain why they are collecting data and how it will be use. The people should be convinced to provide information after fully understanding the purpose of the data collection and how it will be use.

Data needs to be protected by all means. Make sure even if your data do goes out it does not harm the next person who are less priviledged. Data needs to be accurate and manageable, easily accessible.

this topic has been helpful and I really now understand that when collecting data we have to look at all possible angles of possible harm meaning everything should be put into consideration

i also think that the do no harm principles mainly focuses on the participants from whom your collecting data