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It is important to ensure that in all your data collection processes, the safety, security and well being of your subjects is put under consideration and respected. it is important to always seek informed consent and ensure anonymity by not using certain variables like names.

It is important to ensure that in all your data collection processes, the safety, security and well being of your subjects is put under consideration and respected. it is important to always seek informed consent and ensure anonymity by not using certain variables like names.

It is important to ensure that in all your data collection processes, the safety, security and well being of your subjects is put under consideration and respected. it is important to always seek informed consent and ensure anonymity by not using certain variables like names.

To make sure the data collected or managed has or does no harm to any individual, or organisation or any ethical/culture or language of other people.
To make sure the data doesn't damage other people's reputation or status privately or publicly.

To make sure the data collected or managed has or does no harm to any individual, or organisation or any ethical/culture or language of other people.
To make sure the data doesn't damage other people's reputation or status privately or publicly.

Data isn't harmful to individual or organisation or society.
Data that has no bias.
Data that isn't disrespectful or make or have negative impact about religion Ire culture or ethics or language

Data isn't harmful to individual or organisation or society.
Data that has no bias.
Data that isn't disrespectful or make or have negative impact about religion Ire culture or ethics or language

Data isn't harmful to individual or organisation or society.
Data that has no bias.
Data that isn't disrespectful or make or have negative impact about religion Ire culture or ethics or language

Harmless, Unbiased , No damage to any one, organisation or society

also have to be careful when we assess ethical risks that we do not self-reference - for example, if we think about an issue and conclude "i don't see any harm in this. I would not mind to be involved in this activity or release this information" then we are looking at it from our own point of view not our stakeholders. This could be dangerous because we might not experience the same types of vulnerabilities or risks as our stakeholders. We might have more resources, different networks ,or simply be able to leave the location at the end of the project whereas the project/program beneficiaries may have to stay there and face situations that we do not have to.

Data safety is very important and should be taken seriously

Data collection is very sensitive. If this operation is not done in respect of the privacy of the interviewee can create considerable damage.

Generally, the data collected requires the consent of the respondent. For a serious organization, this sensitive data should be protected, ie encoded and inaccessible to everyone. In certain cases, the signing of the confidentiality charter is imposed on the data collector.

what could be done incases where the questions involves asking about preferences and respondent feels like you are actually going to provide for the preference they give

this topic or ethical issue is one of the most important and helps give confidence to respondents

it also determines the quality of the data obtained

As stated above 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.
From the example sited above Yes my data i release could be used by political opponents to further damage this group of people and can be of harm to the persons in this group because i should be able to Identify and avoid potential areas where your data may exacerbate existing inequities and as such treat my data as confidential or anonymous to protect the persons involved.

The data collected should solve the problem at hand not coursing more harm. Therefore, attention, focus and careful selection of words, phrases and meaning should be considered right from design of the tool, to collection of data.

Except when necessary or within an organization setting, anonymousity is very important in dealing with vital information gotten from people during data collection, these information when shared should be editted to avoid tracking from any source of danger

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

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

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

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

according to my understanding do no harm Obligation not to inflict harm intentionally; In medical ethics, the physician's guiding maxim is “First, do no harm.” Beneficence (do good) Provide benefits to persons and contribute to their welfare. Refers to an action done for the benefit of others.

privacy of information should be guaranteed to people to allow free expression of the people responding to questions being asked. the information collected should be stored in a safe way to avoid it reaching the wrong hands.
the use of names should be avoided in certain situations to safe guard the life of the respondents. if possible, codes should be used to mean certain things to avoid leakage of information.

Of course, if the information collected revealthe name and location it will definitely trace the group and harm those people . This breach of principle of do no harm.

Do not is crtitical in data collection and managment

It really very important to collect data in a such a way that it does not do harm. This message should particularly be addressed to the enumerators. This are the ones who go on the ground collecting information. At times they my not be concerned with ethical issues due to fatigue or trying to meet the target of the data to be collected.

Those supervising data collection process they should put strict measures to ensure that the data being collected is not compromised.

This topic is really nice and very exciting.
So it's not just about collecting data from people but to ensure that your data does not harm the people who you are collecting it from, whether directly or indirectly.
One should be extremely careful and not just against the direct harm, as in the area of confidentiality, emotional stress or difficulty in providing the information, but against third party's wrong intentions on the data provided
Interesting.

Do No Harm : this means that security, safety, integrity and well being of participants.
Ethical approval: seek advance ethical approval for studies which involve primary data collection.
Right of respondent: Participation as a respondent data collection is voluntary and free from external pressure.
Confidentiality: all personal information and privacy and anonymity of respondents, records of names and contact information will be stored separately and securely from survey responses.

You just summarize everything, thump up

The Do no Harm principle is important as it may affect data quality if not considered. Participants need to give their informed consent to avoid "damage or harm". however, sometimes "harm"or "pain"is unavoidable; and in this case is "exposure to minimal harm or pain"justifiable?

While we are collecting data, we must respect the dignity, well-being and safety of the participants. If we are not careful or considerate, we may cause psychological damage or because of our careless ways, we may cause physical damage or damage to their properties by other parties who are against the group of for example minorities, LGBT Community, etc. We need to be considerate about not causing stress or confuse them and we need to make sure that they willingly sign the consent forms; we need to explain clearly that the information given by them is confidential and will be kept anonymous and won't be shared with others, and we should not share the information as we promised. We should also be careful about how much of the data will be used, if we share too much information with the authorities, will they use it against them? , that should be considered very carefully as well.

Data collection may do harm to the enumerator, key informant, community, or humanitarian access.
The complexity or sensitivity of questions versus the ability to do quality control in the field. Enumerators are given a brief introductory training on CP, GBV and Protection, and are not trained to collect sensitive data usually collected in specialist assessments. Often, enumerators work in areas that expatriate,managers do not have access to visit, thus limiting their capacity to ensure that the enumerators are asking complex questions as requested.
The humanitarian imperative. data collection often has a much wider geographic coverage within a country than partners, which means that suggested questions will be asked in locations with response capacity and also in locations without response capacity. It is therefore important to assess the balance between the benefits/risks of asking your question in an area without response capacity vs the need for data from those non-covered areas to advocate for programmatic expansion.

Do not harm is essential ethics principles for M& E activities as from the stage of Data collection, collate, analysis and dissemination it avoid bias and Enable the project practitioners to develop effective and efficient M & E system that will enable the organization to attain the results and objectives of intervention.

I think its unfair to judge a whole group based on the actions of a few. To make a broad statement indicating that you are blaming the group for problems without suporting data is quite unfair.

I HAVE LEARNED THAT BEFORE I DO DATA COLLECTION ,I MUST CONSIDER ALL ETHICAL PRINCIPLES BY INFORMING THE COMMUNITY,GIVING INDIVIDUAL EQUAL CHANCE OF PARTCIPATION AND EQUAL BENEFIT DISTRIBUTION TO AVOID BIAS.

All data can be used to cause harm to others, that's why is extremelly important to know who takes part of our team. However, there is no guarantee that data we collect won't be used by others to ear personal interests. In this case, a good way is to avoid showing data that suggest involvement in crimes and to try other data collection, that is, gathering data in another way, in a new perspective without harming other lifes.

Selon moi, le principe éthique " Ne fais pas de mal" nous demande de tenir compte du bien être d'autrui ( des parties prenantes) dans nos pratiques de S&E. Autrement dit tenir compte de : l'expérience des participants, de leur consentement, de leur désir de voir les données rester anonyme et confidentiel, et s'assurer que les données ne soient pas utilisées à des mauvaises fins.

do no harm is approach that cover so many epacts of ethical responsibilities of working organizations.

Do no harm means that be considerate of others whilst collecting data

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

It is important to ensure that the data collection process is free of any form of bias and that it is not too stressful for the participants. However, how do you strike a balance when your assessment requires that you ask a lot of questions which might actually stress the participants.

it is important to do no harm to all participants who are involved in data collection. Sometimes harm does not only come from the only people that have been interviewed, but even from the people that were left out of the sample space. Alot of people could be left out due the large amount of population and sometimes this doesnt go well with the left out population who then start talking negative things about how the sampling was done. This can not only harm those left out but also those selected as they will think that their imput will not be taken seriously due to the claimed mis-sampling procedures.

According to Bryman & Bell (2007) considered ethics as important when conducting research. Therefore, the following are critical to consider when conducting research:
• The participants should not be subjected to harm in any way.
• All research communication concerning the research should be done with decency and transparency.
• Any false information and misrepresentation of the primary data in a biased way must be avoided.
• The protection of the privacy of the research participants must be assured.

It is important for the researcher to comply with the above ethical measures throughout.

What can be done about assessments with long questionnaires that will stress the participants or take a good chunk of their time?

The "DO NO HARM " principle instructs you to actively avoid causing damage with every one involved in your project. it helps you to ensure that your M&E practices causes no harm to participants, stake holders, your team and partner/donors. To do this, the following considerations has to be put in place

1. Consider the experience of your participants.
2. Ensure that all participants give informed consent to collect and use data
3. Ensure that appropriate participants data is stored and kept anonymous and confidential.

An example of goodness of following ethical principles in a M & E, a certain NGO published that 80% of the people in a certain district have mental problems or are psychic, this did not go well with the people of that district.

The principle of do no harm holds that there is an obligation not to inflict harm on others intentionally or unintentionally. To live according to this principle it is ethical the experience of your participants, Identify and avoid potential areas where your data may exacerbate existing inequities, Ensure that, when appropriate, participant data is kept anonymous and confidential and ensure that all participants give informed consent to collect and use their data.

In my statistics classes in College, ethics and moral standards that go around data collection have always beenabeen controversial subject between my fellow students. However being as harmless as possible in data collection process has been our common ground

This is very critical topic that needs every M&E to consider and be careful.

It is very important to be ethical while doing the process of data analysis and even collection since the last results will ne used in the decision taking.
I can use excel with tables
I can use excel analysis
I can use the rapid miner to extract data from forms
I can present it using powerpoint slides

We should be more accurate when we do an analysis like this mainly with using the tools

As i mentioned before, managing the collected data most be done using some how advanced tool to decrease the mistakes

A very good read. But how does someone collect enough data say when they have limited time keeping in mind the experience of respondents?

Data collection can be done using several tools, like forma that can be sent private emails or sometimes online http forms.
In my opinion, the data collector should take into consideration thag some data are private as medicins and maybe the deseases or health status...

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