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Pre testing of selected collection tool and training of data collectors are very important.

During the planning process of the M&E study that you are going to conduct you will need to decide what data and information to collect to support you in measuring and assessing the progress. Also devise way of how you will collect the data using these methods. Data collection methods will depend on the kind of indicators and the key questions that you have identified and other required information.

Why it is important creating Data Collection Tools?
Creating Data Collection Tools is crucial because it is a key that lead us to a needed direction. Creating Data Collection Tools helps to think about and to choose correct tools that satisfy the established objective.

The data collection tool requires details such as the name of the participant, Town, age, and amount of the loan. What else have I left?

data collected

Identify Goals and Performers.
Create Investigative Questions.
Develop a Data Collection Plan.
Create Data Collection Instruments.
Collect Data.
Analyze Data and Identify Gaps.
Summarize Findings

the following design tip should to be useful regardless of the type of data collection tools that you are creating.

1. identify who will use the tool .

Data is the major components of any M&E exercise because, data provides the researcher to decide how to move forward. Therefore, collecting good data always decides the success of M&E exercise. If the researcher can not collect data properly, the data may give different result. While collecting data, it should be focus on proper tools of data collection. These tools may be-interview, survey, observation, workshop etc.

Creating data collection tools is a key step since they directly and heavily impact the quality of data that is collected which informs the organization on its progress.

In creating data collection tools you must follow the below steps
Identify Goals and Perform
Create Investigative Questions.
Develop a Data Collection Plan.
Create Data Collection Instruments.
Collect Data.
Analyze Data and Identify Gaps.
Summarize Findings & Prioritize Actions.

Je viens de maitriser dans ce module 4 après avoir créer le formulaire il faut le tester.
Aussi il y a six étapes pour créer un formulaire des participant et sans oublier les différents consignes de remplissage du formulaire.
J'ai aussi compris que dans une récolte des je donne laisse une place pour les types de métadonnées.

To design or create a data collection toon, there is need to keep the objectives of a project at the back of the mind, that alone gives one the green light to choose what is the easy method or tool to use to assess the indicators listed in M&E plan.

And be in a language that's easily understood by at least 75% of the study or project participants.

To design or create a data collection toon, there is need to keep the objectives of a project at the back of the mind, that alone gives one the green light to choose what is the easy method or tool to use to assess the indicators listed in M&E plan.

And be in a language that's easily understood by at least 75% of the study or project participants.

It is very important to create Data collection tools which suitable to someone's project indicator but also if I understand it well a project may have different indicators which can be measured using only one data collection tool or some indicator might be unique that can lead to the use of different data collection tools to measure it.

exactly but also we have to check if our data collection tool can be used to measure more than one indicator so that it can be easier for us and in case we find that there are some indicators that are unique we can decide to change it or if it worthy it to create their own data collection tools

Tools are very important and they should be tailored to the project

The module has been so helpful. Now, I understand the rudiments of data collection and storage.

Surname: First Name:__
Date: Zone:_____

S/N NAME OF PATIENTS NAME OF MEDICAL OFFICERS DISEASE CLASIF. LAB. TEST DRUG PRESCRIP.

Many different methodologies can be used for data collection and analysis. For people new to the world of monitoring and evaluation (M&E).
Interviews: Interviews are probably the most common tool used in planning, monitoring and evaluation. They can be carried out with one person at a time (individual interviews) or groups of people.
Focus group discussions: Focus group discussions (FGDs) are facilitated discussions, held with a small group of people who have specialist knowledge or interest in a particular topic. They are used to find out the perceptions and attitudes of a defined group of people. FGDs are typically carried out with around 6-12 people, and are based around a short list of guiding questions, designed to probe for in-depth information.
Observation: At its most simple, observation involves ‘seeing’ things – such as objects, processes, relationships, events – and formally recording the information. There are different types of observation. Structured or direct observation is a
process in which observations are recorded against an agreed checklist. Expert observation is usually carried out by someone with specific expertise in an area of work, and involves the expert observing and recording information on a
subject. Observation may also be carried out as a participatory exercise. Where this is the case the intended beneficiaries of a project or programme are involved in planning an observation exercise, observing, and discussing findings.
Surveys and questionnaires: These are designed to collect and record information from many people, groups or organisations in a consistent way. A questionnaire is a form containing questions. It may be a printed form or one designed to be filled in online. Questionnaires may be administered in many different ways. A survey, by contrast, is normally a large, formal exercise. It typically consists of three different aspects: an approved sampling method designed to ensure the survey is representative of a wider population; a standard questionnaire that ensures information is collected and recorded consistently; and a set of analysis methods that allow results and findings to be generated.

Many different methodologies can be used for data collection and analysis. For people new to the world of monitoring and evaluation (M&E).
Interviews: Interviews are probably the most common tool used in planning, monitoring and evaluation. They can be carried out with one person at a time (individual interviews) or groups of people.
Focus group discussions: Focus group discussions (FGDs) are facilitated discussions, held with a small group of people who have specialist knowledge or interest in a particular topic. They are used to find out the perceptions and attitudes of a defined group of people. FGDs are typically carried out with around 6-12 people, and are based around a short list of guiding questions, designed to probe for in-depth information.
Observation: At its most simple, observation involves ‘seeing’ things – such as objects, processes, relationships, events – and formally recording the information. There are different types of observation. Structured or direct observation is a
process in which observations are recorded against an agreed checklist. Expert observation is usually carried out by someone with specific expertise in an area of work, and involves the expert observing and recording information on a
subject. Observation may also be carried out as a participatory exercise. Where this is the case the intended beneficiaries of a project or programme are involved in planning an observation exercise, observing, and discussing findings.
Surveys and questionnaires: These are designed to collect and record information from many people, groups or organisations in a consistent way. A questionnaire is a form containing questions. It may be a printed form or one designed to be filled in online. Questionnaires may be administered in many different ways. A survey, by contrast, is normally a large, formal exercise. It typically consists of three different aspects: an approved sampling method designed to ensure the survey is representative of a wider population; a standard questionnaire that ensures information is collected and recorded consistently; and a set of analysis methods that allow results and findings to be generated.

The module has been so helpful. Now, I understand the rudiments of data collection and storage.

When creating data collection tools, it is important to; identify who will use this tool like their experience and education. Focis on collecting essential information so as not to complicate the tool.

Using pre-existing data collection tools is easier and convenient

Data collection is important so but analyze the data require skills!

Data collection tool can be designed by first determining the purpose of the tool and the data type to collect. then secondly, we will need to choose the platform to be build the data collection tool on. then we can design the data collection form or questionnaire or even peer educator session diary and come up with appropriate answer format. Once it is done, test the tool to ensure it works well then deploy for data collection

Metadata is very important to provide a wide range of information. This is key to evaluate later the success of the project.
If possible, try to collect as much as metadata possible to enable a good and accurate evaluation.
It's also important during data collection to protect the privacy of the data provider or the interviewer, especially if sensitive information are asked.

Metadata is very important to provide a wide range of information. This is key to evaluate later the success of the project.
If possible, try to collect as much as metadata possible to enable a good and accurate evaluation.
It's also important during data collection to protect the privacy of the data provider or the interviewer, especially if sensitive information are asked.

Metadata is very important to provide a wide range of information. This is key to evaluate later the success of the project.
If possible, try to collect as much as metadata possible to enable a good and accurate evaluation.
It's also important during data collection to protect the privacy of the data provider or the interviewer, especially if sensitive information are asked.

Metadata is very important to provide a wide range of information. This is key to evaluate later the success of the project.
If possible, try to collect as much as metadata possible to enable a good and accurate evaluation.
It's also important during data collection to protect the privacy of the data provider or the interviewer, especially if sensitive information are asked.

You are right indeed. It's compulsory to test your Form and correct it before going to the field

Generally once you practice regularly it becomes easy to acquire skills.
However, analyzing collected require skills

Generally once you practice regularly it becomes easy to acquire skills.
However, analyzing collected require skills

Generally once you practice regularly it becomes easy to acquire skills.
However, analyzing collected require skills

Creating data collection tools involves designing instruments such as surveys, questionnaires, or forms, that gather information efficiently and accurately. It involves determining the purpose of data collection, defining the target audience, choosing the right questions, and testing the tool for validity and reliability. Effective data collection tools are user-friendly, straightforward, and precise. Careful planning and consideration of the collection process is crucial to ensure accurate data and valuable insights.

For very large projects working in different area with a very large target, it can be very useful to tigitize participants tracking form.

For very large projects working in different area with a very large target, it can be very useful to tigitize participants tracking form.

For very large projects working in different area with a very large target, it can be very useful to tigitize participants tracking form.

Every project should have a well structured

Role play for pretesting a tool could be misguiding because of the difference in the knowledge level of the real respondents and the person who is participating in the role play. It is better to pre-test the tool in a real situation.

Many different methodologies can be used for data collection and analysis. Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies.

I have gained a lot in this course of data collection tools.

Creating data collection tools looks very simple, but when you go series into creating participant trucking tool you will find the communication gaps between the data collectors and your management in the past. I have been giving some trucking tool to my subordinate to collect data's but they didn't address all the data's due to lack in instruction and clarity. know i know what was the problem.

Creating data collection tools looks very simple, but when you go series into creating participant trucking tool you will find the communication gaps between the data collectors and your management in the past. I have been giving some trucking tool to my subordinate to collect datas but they didnt address all the datas due to lack in instruction and clarity. know i know what was the problem.

creating data collection tools necessitates a clear and expert understanding of the objectives and outcomes.

• It also needs a clear understanding of the environment
• The collection tool needs to be clear and direct

Many different methodologies can be used for data collection and analysis. Most are based around a core set of basic tools. These include interviews, focus group discussions, observation, photography, video, surveys, questionnaires and case studies

-Surveys.

-Interviews.

-Focus Group.

-Observation.

Humanitarian Data eXchange (HDX) is an online portal. It stores humanitarian data in various formats.

You can use it to find, share and use humanitarian data, all in one place.

Satellites can track the earth 24 hours per day. They produce digital images covering a wide area. They can show, for example, how an area looked like before a natural hazard took place, and after. Satellite images are important for developing maps.
Missing Maps is an open, collaborative project. Everyone can help to map areas where humanitarian organisations are active, as follows:
Remote volunteers trace satellite imagery into OpenStreetMap (OSM).
Community volunteers add local detail such as neighborhoods, street names, and evacuation centers.
Humanitarian organizations use the mapped information to plan risk reduction and disaster response activities that save lives.

Sometimes websites publish data in the form of tables. The data in the tables may be difficult to access, or there may be many tables with data.

Web scraping tools can collect or ‘scrape’ these published data in an automatic way. They can do this for many websites and in a very short amount of time.

News articles published on news websites can contain important facts and details about disasters:
The time of occurrence.
The location.
The number of people injured.
Images of affected areas.
News article scraping is a method to collect or ‘scrape’ relevant data from many published news articles. Special tools can do this in an automated way.

Data collection is an essential part of the ME plan but choosing Data collection tools is the most important part as it dictates effectiveness of your project based on information collected.
Data collection methods include surveys, focus groups, interviews, observation, document review, laboratory measurements, community workshops/meeting but are not limited.
your project could adapt more data collection tools depending on the type of project and how big it is or the intended data the project aspires to gather
Data collection tools need to answer the what ( kind of dats will you need to collect), who ( people who can provide data), How often(ie weekly or annually depending on how big the project is or the amount of time that the project has to be accomplished), By whom (who will be collecting the data)

-Surveys.

-Interviews.

-Focus Group.

-Observation.

Humanitarian Data eXchange (HDX) is an online portal. It stores humanitarian data in various formats.

You can use it to find, share and use humanitarian data, all in one place.

Satellites can track the earth 24 hours per day. They produce digital images covering a wide area. They can show, for example, how an area looked like before a natural hazard took place, and after. Satellite images are important for developing maps.
Missing Maps is an open, collaborative project. Everyone can help to map areas where humanitarian organisations are active, as follows:
Remote volunteers trace satellite imagery into OpenStreetMap (OSM).
Community volunteers add local detail such as neighbourhoods, street names, and evacuation centers.
Humanitarian organizations use the mapped information to plan risk reduction and disaster response activities that save lives.

Sometimes websites publish data in the form of tables. The data in the tables may be difficult to access, or there may be many tables with data.

Web scraping tools can collect or ‘scrape’ these published data in an automatic way. They can do this for many websites and in a very short amount of time.

News articles published on news websites can contain important facts and details about disasters:
The time of occurrence.
The location.
The number of people injured.
Images of affected areas.
News article scraping is a method to collect or ‘scrape’ relevant data from many published news articles. Special tools can do this in an automated way.

From my experience, not training users and providing instructions on how to use data collection tools might be detrimental to the entire process as it might end up getting in the way of all information you hoped to collect while creating the data collection tool.

I believe unless you absolutely have no way of doing it, you are in a much better position if you pretest tools in a real environment in which the tool shall be used .

Data collection is an essential part of the ME plan but choosing Data collection tools is the most important part as it dictates effectiveness of your project based on information collected.
Data collection methods include surveys, focus groups, interviews, observation, document review, laboratory measurements, community workshops/meeting but are not limited.
your project could adapt more data collection tools depending on the type of project and how big it is or the intended data the project aspires to gather
Data collection tools need to answer the what ( kind of dats will you need to collect), who ( people who can provide data), How often(ie weekly or annually depending on how big the project is or the amount of time that the project has to be accomplished), By whom (who will be collecting the data)

Creating the data collection tool is most importance for any M&E plans
Among those tool is Participants tracking form with the following steps.

1. Understand your indicator
2. Decide which types of information to record
3. Decide how your form will be filled in
4. Create your form
5. Test your form
6. Revise your form

Almost all monitoring and evaluation work involves data collection. There are many ways of collecting data. Data can be collected through basic tools, such as interviews, observation and surveys. This data can be analysed in a variety of different ways. More complex approaches combine different processes of data selection, collection and analysis within a defined tool or methodology.

Data collection tools are really important in order to monitor progress during the course of the project. The participant tracking form is an interesting tool that captures all the necessary information for all participants.

Data collection tools are really important in order to monitor progress during the course of the project. The participant tracking form is an interesting tool that captures all the necessary information for all participants.

Data collection tools are really important in order to monitor progress during the course of the project. The participant tracking form is an interesting tool that captures all the necessary information for all participants.

I've seen many program data collection tools that are imprecise--they don't actually measure what the facilitators wish to measure. Training in how to design data collection tools is incredibly important if we want to be able to show real results.

Je trouve que la création d'un outil de collecte de donné est essentiel pour la réussite de nos projets.

Chaque organisation doit créer un formulaire de suivi évaluation pour bien gérer les indicateurs.

I personally think this is one of the most critical aspects of M&E and therefore requires sufficient time and keen review to ensure that the tools developed are capable of capturing the requires data. If the tools developed are of low quality, it not only makes the analysis process hard but also compromises the quality of the findings. And findings that cant be relied on by management are basically useless. This therefore means that as we work through the process of developing these tool, we ensure that they are of quality and are capable of capturing sufficient data.

cretaing data collection tools alowed you to be ensure that data you will be collect manage with efficiency

Data collection and analysis can be done using a wide range of approaches. Most are built on a foundation of fundamental tools. These include interviews, surveys, focus group discussions, observations, case studies, and questionnaires.

tips:
-identify who will use the tool
-focus on essential information
-collecting metadata
-pretest your tool
-train staff to use tool

Creating data collection tools is key for data collection to be successful. The process can be time consuming and hence one needs to find out the most appropriate data tool to use in collecting more data, to avoid having to create many data collection tools. If by any chance one is collecting a type of data that was collected before in a previous project, they can use the data collection tools used then to safe time, energy and finances. A person has to consider who is using the tool, how long it will be in use and how frequent, how expensive the tool is to create, use and maintain among other factors before creating a data collection tool.
The most versatile data collection toll in the Participant Tracking Form.

Selecting the right type of data colleciong tool will help the data collector to get the required or needed data to arrive at the right forcasting of the fate of the project under study.

When creating data tools one should always consider the data that is being collected, where it is being collected, how it is going to be collected, who is going to collect the data and how often the data will be collected.
It is essential to know the amount of data being collected to avoid straining and ensure accuracy

When creating the data collection tool you must know the goals of your project

Creating data collection tool by kobo or other electronic tools is good rather than physical

Data management questions are , what is your data? Is it qualitative or quantitative, what tools are needed to collect it.,how will you document and describe the data?, Does the data need to be protected?, Will you share the data with others?, How will you store and access the data over short- and long- term?

When creating data tools one should always consider the data that is being collected, where it is being collected, how it is going to be collected, who is going to collect the data and how often the data will be collected.
It is essential to know the amount of data being collected to avoid straining and ensure accuracy.

Tips for creating data collection tools, very helpful and useful information

Well Understood

As important as data collection tools are in collecting accurate data I think it is important for the creation of the tools to be iterative

A very interesting and clear to understand topic. Creating data collection tools is very key in the success of Monitoring and Evaluation processes and contribute to the successfulness of our projects

@Ugermaine said in Module 4 Discussion: Creating Data Collection Tools:

I have gained a lot in this course of data collection tools.

You are right. This also applies to me

Learning about these data collection methods and designing a participant tracking form is something new to me but very vital to the success of my M&E project.

That's right. I really gained a lot in this module 4. There is need to pay more attention to what was taught in this module in order to become better at designing tools for measuring indicators.

To create a form, open up a word processor such as Microsoft Word.

Spaces for recording metadata should go at the top of the form, where they will be easy to see. Remember, this information includes the title of the form, the version of the form, the date the form was completed, where the form was recorded, and the name and title of the person who completed the form.

The rest of the data that will be recorded - the data that measures the indicator or indicators - should go into a table with several columns and rows. Most Participant Tracking Forms record one participant in each row of the table. Each column records a different type of data about that participant, such as name, age or location. MEH will need to record this data in their table:

Having a tool for data collection that a project can use to gather data is crucial. Data analysis is made more effective and error-free with the aid of data collection tools.

Creating a Participant Tracking Form is one of the important activities for project M&E staffs and officer to systematically record participants data and information. As discussed in the lecture, the six steps for creating a participant tracking form is very practical and helpful.

Creating a Participant Tracking Form is one of the important activities for project M&E staffs and officer to systematically record participants data and information. As discussed in the lecture, the six steps for creating a participant tracking form is very practical and helpful.

Data collection tools are very important in every Project. Each data collection tool has its advantages and disadvantages. It is important to use the appropriate tool so as to maximize getting accurate results.

Creating data collection forms is a critical and wonderful exercise. In my case, I created an activity tracking form to track the number of activities completed.

Creating data collection tools is an essential task for researchers and organizations to gather accurate and reliable data. It involves designing a questionnaire, survey, or other data collection instrument that captures the information needed to answer research questions or achieve organizational objectives. In this discussion, we will cover some key aspects of creating effective data collection tools.

Define the research question or objective: Before creating a data collection tool, it is important to clearly define the research question or objective. This will help in identifying the type of data that needs to be collected, the population to be studied, and the appropriate method of data collection.

Choose the appropriate data collection method: There are various methods of data collection, such as surveys, interviews, focus groups, and observation. Each method has its own advantages and disadvantages, so it is important to choose the appropriate method that fits the research question or objective.

Develop clear and concise questions: The questions asked in a data collection tool should be clear, concise, and easily understood by the respondents. Avoid using technical jargon or ambiguous language that may lead to confusion.

Use a mix of question types: Using a mix of question types such as multiple-choice, open-ended, and Likert scale questions can help to capture a wide range of information and provide a more nuanced understanding of the topic.

Pilot test the data collection tool: It is important to pilot test the data collection tool to identify any errors, ambiguities, or other issues that may arise during data collection. This will help to refine the tool and ensure that it is effective in collecting the required data.

Ensure confidentiality and anonymity: Data collection tools should be designed to ensure respondent confidentiality and anonymity. This can be achieved by avoiding questions that may reveal the identity of the respondent, and by using codes or other identifiers to ensure that responses are kept confidential.

Consider ethical issues: It is important to consider ethical issues such as informed consent, privacy, and confidentiality when designing a data collection tool. Ensure that respondents are fully informed about the purpose of the study and that their rights are protected.

In conclusion, creating effective data collection tools requires careful consideration of the research question or objective, the appropriate data collection method, clear and concise questions, a mix of question types, pilot testing, confidentiality and anonymity, and ethical considerations. By following these guidelines, researchers and organizations can collect accurate and reliable data that can inform decision-making and improve outcomes.

Step 1: Identify Goals and Performers.
Step 2: Create Investigative Questions.
Step 3: Develop a Data Collection Plan.
Step 4: Create Data Collection Instruments.
Step 5: Collect Data.
Step 6: Analyze Data and Identify Gaps.
Step 7: Summarize Findings & Prioritize Actions.
Magpi.
Jotform.
FastField.
Zonka Feedback.
Forms on Fire.
GoSpotCheck.
Zoho.
Paperform.

for creating data collection tool we should always focus on how we create most versatile tool like enhancing : a Participant Tracking Form for recording observation data.

i got also lot information for data collection tool of MeH

In development data collection tools, it is important to master the key indicators to collect and report on.

Yo pienso que, con los procedimientos a la hora de elegir el método de recolección de datos para nuestro proyecto nos permite saber de ante mano cómo elaborar nuestra herramientas pasando todos los procedimientos antes de lanzarlo oficialmente para la colecta de información para la medición de nuestros indicadores

I will like to add that the Data Collection Methods learnt will be helpful during collection of baseline data and also when carrying out formative research.

I will like to add that the Data Collection Methods learnt will be helpful during collection of baseline data and also when carrying out formative research.

I agree with you. Having learnt how clear understanding of the indicator is germane to development of Data collection tools, I also can do better going forward.

Real environment with similar population I will like to add

Creating your tools is very important in M&E especially when you want to go into project implementation. The idea about the tool is to collect data in simple form form what the m&e office have designed in the log frame. About creating the tool and its significance, the deep knowledge on the indictors is very important before other significant element follows namely;
1.Know which information you want to collect

3. Decide on how you want to collect your indicators
4. create the Form.
5. Test the Form
   6 Revise the Form
   These six elements will simplify the work to be done during implementation and will help to identify which information is missing out when field officers are on the field.

This module is highly specific in job responsibility and essential information needed for the progress of the project are being generated by the data collection tool.

Data collection tools are at the heart of M&E activities

Yo pienso que, con los procedimientos a la hora de elegir el método de recolección de datos para nuestro proyecto nos permite saber de ante mano cómo elaborar nuestras herramientas de colecta de información pasando por todos los procedimientos antes de lanzarlo oficialmente para la colecta de información para la medición de nuestros indicadores

pretesting every tool before it is used is a very important step in creating data collection tool, as in my experience i have found feedback from then end user to be very useful in making the tools more comprehensive and easy to use.

Creating data collection tools is a critical part of any project. The success of any data collection project depends largely on the quality and reliability of the data collection tool

To create data collection. Consider the following questions:
What? Who? How Often? By who? can we do it?