Some data are private and they can not be given : diseases
Medicin
Mariage status
All these most be very private not only while gathering them , but only in their storage, cloud storage mabe the best.

Data collection
Data storage
data analysis
Conclusion
All these processes take time, if they will not end with a good beneficial presentation, then there is no need fo the whole process taking into consideration some data sources can not be included in any presentation since they are anonymous.

Being clear and very transparent with the members taht you are working with is the most important part , with honesty thebmembers will no their assests, limitations and will know well how much resources they have.
This will facilitate the process and seek it to success.

From my experience, I cared about the respondents whom I asked for my interview. Firstly I introduced them what is the purpose of my surveys, why for asking and after even knowing the topic, if the respondent did not want to answer, I skip them. If they they don't want to tell their name or age, I do not force them.

Do not Harm: We (as an organization) need to care about the venerable. We must have the responsibility for our data which do not harm the respondents and stakeholders.

• Consider the experience of your participants. think about the people you're collecting data from, What is the experience of providing data like? Is it stressful and confusing or simple and intuitive? Is it time-consuming or efficient?
  Ensure that all participants give informed consent to collect and use their data. 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.
  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?

Do no Harm. Very important especially in areas with deep peculiarities

Do no harm a very important and vital aspect in ethical principles in M and E

i'am verry happy

on point 4 , which states that one should Identify and avoid potential areas where your data may exacerbate existing inequities to what existence is one supposed to hide this information if the research is in line with the same or the issue to be tackled is inline with the inequity.

If that data isn't going to benefit the subject or if it will harm them directly/indirectly, then it is not worth collecting.

The participants should be given informed consent to collect and use their data.
Promises to keep the data anonymous and confidential are made to receive information from the participants, these promises should be kept, as the information received if released not to a body without permission can spoil the reputation of the participants.

In some areas respondants are promised or guven rewards so that they participate in a survey or interview. As much as this is one way of encouraging them to participate I find it as harming as it may comprise their real intent to whether to participate or not.Further it may have an effect on the overall conclusions drawn from the research

This is one very crucial topic when it comes to data collection. A very heavy emphasis needs to be put on the issue of potential areas to extend existing inequities. I opine that it is so critical to scrutinize all the potential end users of the information to ensure that our sources are safe no matter on whose hands the data end up in

Do No Harm (DNH) is a framework which was devised to help development personnel apply conflict sensitivity to their programming, developed in the 1990s by a collective of international and local NGOs working in conflict and post-conflict settings.

To actively avoid damage

Principle of honesty which is an important aspect of M and E

Sometimes such information it will be not to be spread , it will harm to others, also from political aspects.
So, not to harm.

It is every body right to be respected and should not be harm from any aspects. They should be given social, emotional, psychological, moral and ethical safety and confidentiality during data collection phase. Their prior consent should be taken, and they should not be forced or pressurized, if they can't participate in the data provision and collection phase due to any reason. Their personal, social and private integrity should be taken on board.

The topic of do no harm has been quite educative. It has covered issued I already knew and much more of I what I didn't. It is clear that one needs to be cognizant of the the outcome of a data collection exercise to avoid doing more harm to participants or likely affected group by the data collected.

This is a need to ensure that no harm is done directly or indirectly to the participants in our research that help in M and E

The data should not be used by a political opponent with an intention to harm the target group and also a guideline should be provided for releasing personal confidential information.

It very important to keep data anonymous and confidential. As per the example above the the data that are released could be be used by political opponents to further damage this group of people. since the political opponents may have a basis for accusing the group, they can cause them the individuals to be may be jailed or suffer from any other harm from the political opponents and in this case, the disclose of information for this group may also lead to the failure of the intervention since targeted group suffer from the damage caused of the release of data or information in unethical way.

Do No Harm
Data collection should be carried out in confidentially manner. This should be made known to the participants to build their confident to give out accurate responses. When this is done we are actually going by the Do No Harm Ethic of M&E.

It is very important to seek participants consent before collecting or gathering data from them.

Do no harm

Make sure that the people whom you are collecting data from understand what you are doing.

Make sure that the people whom you are collecting data from understand what you are doing.

I personally agree that the respondents personal information should be protected and kept confidential to build the trust between the respondent and the person collecting the data. Incase next time one might need to collect data from the same respondent he/she wont hesitate.Also through this the respondent will be sure of safety and wont give the wrong information.

Obviously any data suggesting that some of the people belonging to this group have committed crimes would be used against them if the information gets to the wrong hands. A good data should do no harm and confidentiality is key.

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Personally I would avoid to expose people who have been asked questions during data collection. I will step by all means to step from an intervention to look at the broader context and mitigate potential negative effects of social fabric , the economy and environment

If the percentage of low status group committing crime is way above the average, then political opponents re most likely to use this data to damage this group of people.

Do no harm is a principle the calls for a balanced data management process from collection to dessimination

Yes, releasing the data of the group will definitely be used to harm them. It is essential to stick to the ethical principle there is no need for me to release the data. However, their data must be confidential and anonymous.

I think the concept of Do No Harm is one of the topmost criteria of ethical standards of data collection activities.

The data should should be used to bring some positive changes so, it should not point out weakness at a personal level

For an individual that is paid by an organizing before collecting his/her data do we to ensure that, when appropriate, participant data is kept anonymous and confidential ?

To ensure that the ethical principle of ' Do no harm ' is adhered to one has to ensure that:
1.participants give consent.
2.The data is kept confidential.
3.Identify and avoid biases.
4.The staff to be well trained.

The Consent seeking is very Important also brings the buy-in for the participant, with proper time allocation and ensuring there is a minimal or no Opportunity cost attached by the participant, You need also to having your timing right in regards to other Community events or activities to ensure data ownership

Do not harm is about bringing respect, happiness and personal self-esteem. Voluntarily or involuntarily, it does not cause damage to the property, emotional or reputation of people affected by their work. Unless you do not care, your M & E process may have significant damage. Safe principles are transmitted only to actively avoid causing damage.
So, how do you want your M & E practices to avoid the prejudice of participants, interested parties and other people? Concerning this, you should;
1).Consider the participants' experience-Think about the people from whom you are collecting data.
2).Make sure all participants respect and use their data and use them-it is so important to ensure that the people you are collecting data from understand exactly what they are agreeing to participate in.
3).If necessary, the participating data are enabled anonymously-Data is anonymous if it cannot be linked back to the individual who provided it. Data is confidential if it is accessed by those who have permission only.
4).Identify and avoid potential areas that data can degrade existing inequalities-there is no guarantee that the people who read about your data will be so careful as you yourself you may be.

"Do not harm" is one of the principles of the ethical behaviour in an organization which tries to collect data and later presents it before the ones outside as adhered by the accepted given measures or protocols which has to lower and stop actions with problems and massive causes at the end.

Harm can be found or not found in the M&E projects or programs related to whatever done during the such considered event at a given time even in data collection.

I agree that despite the efforts to ensure that data collected will be appropriately used, there might be factors beyond the researchers' control on its usage outside its purpose especially for publicly published studies. However, inclusion of the clear results contexts would help limit this danger.

With the data privacy act being implemented in all countries, confidentiality of respondents' profile is one of the utmost concerns in researches. This is one example of the "do no harm" application too.

Considering the experience of your participants ensures that your M&E practices cause no harm to participants.

True to that..

A very good question. Most enumerators they rush to finish the questionnaire so that they have more benefits.. This really affects the data

Good insight :)

يخاف الكثير من الناس من المنظمات او الجهات التي تقوم بجمع بياناتهم لذلك تجدهم يتسائلون قبل الاجابه على اي اسئله عن الجهة التي تجمع بياناتهم والسبب وراء ذلك ويمكن تعدي هذا الامر بطمائنتهم وتقديم الاجابات السريعه والغير معقده لهم وكسب ثقتهم في التعامل معهم بكل احترام وسلاسه

This section attempts to outline the ethical principles necessary to ensure that the collection of data and the rest of the data management process is done with respect for the people involved in the data collection. These principles promote human rights and protect the freedom of individuals.

De ce module je comprends que l'éthique est l'un des piliers essentiel au bon déroulement de la collecte de données

As my experience in the past, confidentiality and respect for others is very crucial during data collection.
The damage caused by not respecting do no harm is really serious and it reduces the trust and credibility of the data and we have also seen that anonymity is an important part except people agree to mention his name following his consent

Do-no-harm as ethical principle ensures that the respondent's welfare is protected and the best interest of the society is preserved. This ethical principle if properly executed could result to the attainment of a highly inclusive community where all sentiments are accommodated and the general welfare is prioritized.

Where does one draw the line between advocating for change and "doing harm (reputation harm)" to defaulting leaders?

Do No harm principle helps the group or the organisation to become more effective and accountable and icreases the confidentialty of the data collected.
This is encourages the group or the organisation to tailor their data more accurate to the specific context in which they are implemented

genial course

genial course

Yes off course. first off all the data we gather or collect from the community should be representative, the discussion point says "some" which implies the community are not well represented.
the second issue is that the sensitivity of the problem, the finding reflect the negative implication and may damage the community at large.
the third is that the data is biased.

Interesting topic to explore in the M&E setting as I had not really thought about the implications.

As there are not topics for these discussion exercises, it is not very clear what I am suppose to write about.

Data can be used in all sorts of ways, even in ways we didnt expect or anticipate!
so i think that people who provided data can be harmed by other political parties.
So to prevent this from happening; we should insure that our data is kept anonymous and confidential. And we need to make sure that our data management is proof from leaking or accessing from unauthorized parties.

1. All types of participants should be represented in a study from all walks of life. Say for an example the organization is doing TB treatment, thorough zoning of the area where TB is prevalent should be marked thereafter those particular areas should be targeted as priority.

2. Participants should be told fully as to why are they participating on a particular program. Participants should not be misused and be tricked into undertaking a part in a program. For an example if an organization has a mandate or a task to give loans to people they must be told all the implications that goes with getting a loan. Participants should understand that a loan is not a grant but borrowed money, meaning that after the project they should return it.

3. The organization should keep the data of the people confidential. For example if the organization if testing HIV and diagnosing people on HIV, patients might be discriminated against if their statuses are known at work or at home. Keeping the data concealed and protected is critical since some people hold high profile positions and would want to protect their reputation at all times.

4.The data collected should not target a specific group of people and put them in jeopardy of being prejudiced. E.g. conducting a study within the South African Army about HIV and AIDS. Releasing such data to the news media could dent the image of the soldiers and the country as a whole.

The "Do No Harm" principle in M&E is extremely important because it instructs those who collect data to completely understand the population they are collecting data from, stresses participant's consent, ensures those people's data aren't being used to harm them, and should guarantee participant's anonymity and confidentiality. It was extremely pertinent for me to read how people like politicians can cherry pick data and skew it to blame historically marginalized people; while I know this can happen, it has not been stressed to me when learning about M&E through experience and not in a classroom setting. So that was important to highlight and really stuck with me.

"Do not harm" is about making sure to not cause prejudices to people by avoiding troubling their daily activities (time consumed and stress), by asking for consent, keeping the information collected anonymous and confidential, by avoiding any kind of bias,

I learnt that our M&E practices can cause harm to participants and stakeholders while we collect data. Considering experience of our participants, ensuring that we have consent to collect and use data from our participants and ensuring that data collected is kept safe and promises are kept in terms of confidentiality and anonymity.

Data Security is essential in M & E. As related to the last question asked, these kind of data can't easily be used or released because it might cause serious harm farm for the participants. However, if it is to be released, it should be released anonymously with the specific agreement.

Data Security is essential in M & E. As related to the last question asked, these kind of data can't easily be used or released because it might cause serious harm farm for the participants. However, if it is to be released, it should be released anonymously with the participants in full agreement.

Yes the data release to the political opponent about a particular group could be used against them

I'm certain the initial goal of academic testing was to and still is to access students understanding of a course. its not without doubt that some staffs abuse the priviledge of administering academic testing. One of which is posing questions to students to help gather facts for your personal dissertation, a cae common to the West Africa region i must say.

The data release to some person might further cause damage to some group of person . before data should be released proper agreement should be made to ensure safety from d people d data was collected from .

when it comes to the principle one: Do no Harm, it is good to prevent any effect that are intentional or unintentional to the people we are collecting data. it may affect physically, emotional and their prestige they have in the society they live in. besides, in order to have or ensure the quality of data we must have reliable and accurate data that have not cause any damage.

The topic of do no harm has been dealt with majorly topics I dint have knowledge on . It has covered some topics I already knew and much more of I what I didn't. It is clear that one needs to be cognizant of the the outcome of a data collection exercise to avoid doing more harm to participants or likely affected group by the data collected.

Ethics are principles that guide morally good behavior
Do no harm as an ethical principle instructs us to avoid causing harm to those whom we collect data from.
It instructs us to honor the dignity and self worth of individuals.
It also instructs us to ensure that data collected should not be linked back to the individual who provided it and be accessed by only those who have permission.
You should only collect and use data from your participants,if they give you an informed consent to do so

Informed consent is an integral part of data collection, participants should know what it is that they are agreeing upon. And language used must be precise and it must be the language they understand if needs be there must always be an interpreter.

It's vital to be ethical when collecting, analyzing and managing data.

My main observation lays in data confidentiality and data anonymous. I strongly agree with our course instructor that confidentiality is a very important aspect especially if instance you're collecting health data such as ART confidentiality is very critical and and it will you you community health workers to collect accurate data.

The main principle is "do not harm". We are not allowed to give the data to the political opponents to further damage this group of people. We signed that letter on consent that we had promised that we keep their data confidentiality.

No , I am not happy to use my data into political and related issues, because it damages the reputation of the agency

No , I am not happy to use my data into policical and related issues, because it damages the reputation of the agency

No , I am not happy to use my data into policical and related issues, because it damages the reputation of the agency

For example, imagine that your organization is working with a low-status group of individuals. People belonging to this group are often blamed by politicians for local problems. Your data suggests that some of the people belonging to this group have committed crimes. Could the data that you release be used by political opponents to further damage this group of people?
My answer is "No".

For example, imagine that your organization is working with a low-status group of individuals. People belonging to this group are often blamed by politicians for local problems. Your data suggests that some of the people belonging to this group have committed crimes. Could the data that you release be used by political opponents to further damage this group of people?
My answer is "No".

when you want to collect data from people do not cheat them ( make clear your purpose )...

stop lying because lie make them harm and although is not good for your honor

Do No Harm (DNH) is now used widely by many aid organizations, including governments and multilateral organizations. World Vision is one of the most active organizations globally using the "Do No Harm" tool. DNH field assessments help understand conflict at a project or community level. When local leaders understand which activities divide or connect people, World Vision partners with them to design projects or programs to minimize harm and support local capacities to build peace. To see an example of Local Capacities for Peace, watch these young leaders in the Philippines explain how they lead other children in assessing local capacities for peace.

this module; do not harm teaches us to be careful while presenting our findings from any data collection exercise taking into account the aspect confidentiality of the beneficiaries information in order to avoid conflicts of interests from other users of the information

Do no harm can really be a challenge. Even when we mean the best to other people we somehow end up hurting them and can be a challenge to assure them otherwise. That said, It is always best to look out for the well eing of other people as it keeps you i good graces one way or the other.

A clean concious leave you able to be of better service and able to learn from whatever shorcoming may have happened. Do no harm is indeed the way to go.

Seeking consent is also a signal of respect as it allows the other party to retain control and not feel manipulated. People are more comfortable and likely to share better quality responses if they do not feel coerced or cornered.

Tha is interesting indeed, I had no idea there is a DNH tool! Am going to look it up and interact with it. Thanks for sharing that insight.

And by the way FUADFARAH99, you do not share how we can access the example you mention of the "of Local Capacities for Peace... young leaders in the Philippines." Care to share that at some point?

Hey ASIKIRAYMOND,
I believe the Do No Harm works it way back to the collection of data, seeking consent, ensuring informed decision making, being sensitive with the questions asked, etc. Basically, from the designing all the way through to the reporting.

No, this data should not be used so as to avoid causing more harm to that group of people.

In M$E, do no harm is one of the most important principles to be considered. It's through this principle where participants also feel confident about the information they must give

From the experience of the participants, those who would collect data will also know exactly how they must treat them.

Do not harm is an ethical principle which instructs the user to avoid causing damage to people he/she is collecting data from. Its important to consider the experience of providing data for participants to avoid causing stress. There is also a need to given informed consent before data collection so that the participants can understand the risk involved in the data collection process. Confidentially and keeping data anonymous is a key aspect in ensuring that information doesn't leak.

Do not harm is an ethical principle which instructs the user to avoid causing damage to people he/she is collecting data from. Its important to consider the experience of providing data for participants to avoid causing stress. There is also a need to given informed consent before data collection so that the participants can understand the risk involved in the data collection process. Confidentially and keeping data anonymous is a key aspect in ensuring that information doesn't leak.

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