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Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

Just entered module 4 today. looking forward to enjoy it. I'll be reaching out to you, i mean you, yes you if there are areas i don't fully understand. looking forward to connect with you.

data collection tool referred to as devices or instruments used to collect data. it is covered by different types of data collection instruments this includes interviews, surveys, focus groups, observation, documentary reviews etc....

As we have seen, there are many ways to collect data. For each of your indicators, you need to choose an appropriate data collection method. So, how do you decide which methods to use? Well, there are a few questions to consider when you are choosing a data collection method:
• What?
• Who?
• How often?
• By whom?
• Can we do it?
WHAT?
What kind of data will you need to collect to measure your indicator? Detailed qualitative data will be collected very differently than quantitative data. For example, surveys, laboratory measurements, and document reviews work well for collecting large amounts of quantitative data, while interviews and focus groups are often the best choices for collecting detailed qualitative data.

It is also worth considering whether the data you are collecting is personal or sensitive. A group setting, such as a focus group, might be too public if you are interested in collecting personally sensitive information.
WHO?
Who are the people who can provide the data for your indicator? To accurately measure your indicator, do you need to collect data from a large group of people spread across lots of different locations? Or, can you collect enough data by reaching a few key people?

What is the best method for reaching these people? Will they be able to fill out complex, written tools? Or would they prefer in-person conversation?

Additionally, consider the amount of work that you are asking your participants to do. For example, would it be reasonable to ask your participants to spend two hours in an interview?
HOW OFTEN?
How often do you need to collect these data? Some methods, such as very large surveys, require a lot of time to do well. These methods might be worth using once a year, or only when reports are about to be written. Other methods, such as observations, are inexpensive and quick to deploy. These can be used daily or weekly.

A simple rule is that the lower an indicator is on your logframe, the more often it should be measured. Output indicators should be measured often: daily or weekly, for example. Outcome indicators do not need to be measured as often. These might be measured quarterly or annually. In fact, since outcomes often take a long time to appear, it might be necessary to measure your outcomes several months or years after the activities are over. Note that this is general guidance, not a rule that will apply to all situations.

Additionally, when you are deciding how often to collect data for an indicator, you will want to consider the schedule of your team as well as other events like school schedules, agricultural seasons and holidays.
BY WHOM?
Who will be collecting the data? Do you have access to skilled observers, interviewers or moderators? What is the educational level of those who will be collecting the data? Do they speak the same languages as the people that they will be communicating with, or will you need to translate tools and guides into different languages? Do they understand how to use any required technology?

Additionally, who will analyze the data? Some data collection methods like surveys and focus groups generate huge amounts of data. If your project does not have the expertise to analyze this data, the data may be wasted.
CAN WE DO IT?
Do you have enough time, money, and expertise? Some data collection methods are fairly cheap and simple, while other methods are expensive and complex. For example, while laboratory measurement creates fantastic, reliable data, very few teams have the expertise, time, or money to collect data this way.

Data collection tools. very important in M&E. First get indicators that can be measured; choose the method for data collection and then the most suitable tool considering the many factors that defines it.
learnt a lot about metadata and its importance and also the Participant Tracking Form (PTF). It's really beautiful. Beginning to make a lot of sense now.

This module has been very insightful. It further exposes me to the process of monitoring through the use of the participant tracking form. There wouldn't be any data to analyse if such a tool is not designed for data collection on a regular basis. In our reading club for children (ages 5 to 12), we only use an attendance sheet during our weekly activities, but having undergone this module, going forward, we shall create our participants tracking form where we shall begin to collect data according to information from our input and output indicators, such as name of child, age of child, storybook or information material read, storybooks taken home by the children, school of child, new words learnt, amongst others.
I have also learnt to code the information on the tool, to do a pre-test of the tool, have a metadata, revise the tool by modifying with the information obtained via the pre-test tool and have a separate sheet for instructions which will also serve as a guideline for the field officers or volunteers or the staff that shall administer the tool.

creating one data tool to collect all or most indicator data is the most efficient way to implement this stage of M&E. the participant tracking form is a life saver, so simple yet very versatile and effective in its purpose.

It is very essential to create data collection tools that are will help in getting the information that you need to answer your indicators.There are things that one need to consider when creating data collecting tools,these may include:

• Identify who will use the tool: this is a very important aspect to consider when creating data collection tools as some tools are complicated hence need M&E staff with higher education and experience to use them.

• focus on the on essential information:Be focused on the type of data you need to measure your indicators such as gender,location and education.

• Collect metadata:It is important to collect metadata,this is the type of data that explain on how your data was collected.This data will help M&E staff to track information collected back to the source.

• Pre test your tool: always make sure to test your data collection tool within a similar environment that will be used in order to observe if the tool is serving the intended use and also identify misinterpretations or errors that might need to be corrected prio to the actual excises.
  staff training and instruction on how to use the data collection tool.everyone who is to use the tool need to undergo proper train in order to understand how to use the tool in order to get consistent and accurate results.Furthermore it is important to come up with an instruction sheet that states the purpose of the tool and the step by step guide lines on how to effectively use it.The instruction need to be clear and well understood.

This very great, the way these steps are explain throughout this part, it is clear

Data collection is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes.

This module has been very insightful. It further exposes me to the process of monitoring through the use of the participant tracking form. There wouldn't be any data to analyse if such a tool is not designed for data collection on a regular basis. In our reading club for children (ages 5 to 12), we only use an attendance sheet during our weekly activities, but having undergone this module, going forward, we shall create our participants tracking form where we shall begin to collect data according to information from our input and output indicators, such as name of child, age of child, storybook or information material read, storybooks taken home by the children, school of child, new words learnt, amongst others.

I have also learnt to code the information on the tool, to do a pre-test of the tool, have a metadata, revise the tool by modifying with the information obtained via the pre-test tool and have a separate sheet for instructions which will also serve as a guideline for the field officers or volunteers or the staff that shall administer the tool.

he objective from the first year will be to sell at least 100 management software to insurance companies and pharmacies.
Extend the E pharma service in all sub-regions over 02 years.

he objective from the first year will be to sell at least 100 management software to insurance companies and pharmacies.
Extend the E pharma service in all sub-regions over 02 years.

1. IDENTIFY WHO WILL USE THIS TOOL
   Consider who the user of the tool will be. The user is the person who will collect data with the tool. Depending on your project, the user may be a staff member, a volunteer, or a partner. Before you design your tool, consider these questions:

What education does the user have?

What experience has the user had in using data collection tools?

How comfortable are they using this type of tool?

If you are able to answer these questions, you will have a much clearer idea of how to design your tool. Perhaps your tool will be used by a volunteer with very little training and an incomplete knowledge of the language. In that case, you will want to include detailed instructions in simple language. On the other hand, if your user is an M&E specialist who is fluent in the language, you can include more sophisticated instructions.

2. FOCUS ON ESSENTIAL INFORMATION
   It can be tempting to keep adding parts to a tool: more questions! More information fields! However, your tool can quickly become complicated, confusing and time-consuming to use. Keep your tool simple by focusing on collecting essential information: the data that you need to measure your indicators. Remember: to measure a single indicator you might need to collect several types of information, such as the participants’ gender, location, education level, and age. Focusing on this essential information will keep your tool from getting too complicated.

3. COLLECT METADATA
   In addition to collecting essential data related to your indicators, you need to collect some metadata. Metadata is the information that explains how your data was collected. Data collection tools should have a space to record the following types of metadata:

The title of the tool

The version of the tool

Who used the tool

Where they used the tool

When they used the tool

Your team may be interested in recording additional types of metadata, too. This metadata will help your M&E team trace information back to its source. This will be important later for ensuring data quality.

4. PRE-TEST YOUR TOOL
   Before you send out your tool, it is best to ask a few different people to try using the tool. If possible, have them test the tool in the same environment that it will eventually be used in. Observe them using the tool and ask: is the tool used in the way that you expected it to be used? Are there common mistakes that users make? Are certain words or questions misinterpreted? Are there any questions that do not help you measure your indicator? You can use this valuable information to revise your tool before it is distributed.

If it is not possible to pre-test your tool in the field, you may need to imagine what it would be like to use your tool. Imagine that you are collecting data in the field and fill in the tool with false data. You may want to ask a colleague to pretend to be a participant while you test the tool. Is the tool simple to use? Is there enough room to record all the information that you would like?

5. TRAIN STAFF TO USE THE TOOL AND INCLUDE INSTRUCTIONS
   Never assume that your tool is self-explanatory. Different people might interpret your form differently. If that happens, the data that they collect will be inconsistent and inaccurate. That is why it is so important to properly train everyone who uses the tool. Role-play exercises can prepare staff for tricky situations that they might encounter. To run a role-play exercise, ask one person to pretend to use the tool, and ask another person to pretend to be a participant. The two people should act out how the tools are used.

It is equally important to include an instruction sheet that states the purpose of the tool and describes step-by-step how to use it. Use simple, clear language for all instructions

There must be careful in creating appropriate data collection tools. Sometimes wrong or incorrect data can be collected if creating of data is not careful and as a result wrong decisions can be made on the project

It is important to know what indicator you need to measure before designing a data collection tool. In addition, it should be clear what data, by whom, from who and if it is possible to collect the data. After that, one then asks the kind of iinformation they need to collect including metadata. In addition, the design should be easy to use and follow. After designing the tool, it needs to be testted before being used in the field

In creating your data collection tool you need to decide what information about which indicators you will be collecting .This allows you to take a logical approach and ensure everything else runs smoothly.

In creating data collection tools, there is usually a need to test the produced tool either in the field or imaginatively to ensure completeness and ability of the new tool to measure all that it was planned to measure. The insights got from the testing is used to revise the tool before deployment to general use in the field.

Data collection is a methodical process of gathering and analyzing specific information to proffer solutions to relevant questions and evaluate the results. it focuses on finding out all there is to a particular subject matter.

In creating data collection tools, the following should be carefully considered:

1. Identify who will use this tool
2. Focus on essential information
3. Collect metadata
4. Pre-test your tool
5. Train staff to use the tool and include instructions

It depends on how the person in charge want to use the data collection tools. It can be vary in each projects as long as it can obtain the data we want.

7 ways to collect data
survey. Surveys are a way you can directly ask customers to provide information. ...
Online tracking. ...
Transaction data tracking. ...
Online marketing analysis. ...
Social media monitoring. ...
Collect subscription and registration data. ...
In-store traffic monitoring.

• Write clear instructions on who should fill the data collection tool and how it should be filled
  *Keep it short and clear
  *Use simple and direct language that is easy to comprehend
  *Make sure that it is measuring the wright indicators

First identify who will use this data collection tools and includes all crucial information needed. After that, collect the data and pre test your tools. When it is done, train the staff how to use the tool.

In creating data collection tools you need to first identify the person to be using the tools, consider the experience and knowledge of the person. get the main information in to be in the tool .it should measure main indicators understood and reliable.

Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

Good
to get accurate data you need the right means of collection of the data.

Data tools are important because they allow the collection of critical information about a project for M&E purposes. It is very important that these tools are designed to capture the key necessary information while remaining simple enough. All assumptions about their users and and the information they capture should be be clearly made. They should be tested first before being rolled out on the the actual field.

Creating a data creating tool is involving. It requires due deligince. One has to be more cautious when developing it so that the tool achieves its intended purpose. A recklessly created tool can provide skewed and incomplete data .

When creating data collection tools it is important to note the type, quantity and quality of data to be collected. Also it is important to know who will collect the data with respect to the educational qualification and the scope of data to be collected

tough but doable...a lot of thinking is required here

Creating data collection Tools, This is a form that collects data from the peer educators as they conduct their session.

Creating Data Collection Tools is they can collect information about their details of the facilitator.
They can collect details of those they helped share information with.

Pre testing tools is the coolest idea I've come across because we've all heard moments where giving feedback was inconvenient. This ensures a better experience

What data collection tools would you deem as the most flexible?

Steps to Data Management

1. Entry
2. Analysis
3. Storage
4. Verification
5. Use

Data entry is a crucial component

Truth...100%

When creating data tools, it is important to consider the qunatity and quality of information require in a given project, the knowedge base of the individual that will collect the information and the different sources that the data would be generated. Also what are the indicators that are required as well as the disaggregations. What is the periodicity or frequency that the data will be collected.

It is also pertinent to consider data analysis and use when creating the tools or designing the tools. who collects the data in terms of educational qualification, the type of information required in terms of qualitative and quantitative information and the data sources

It is important to make sure that a tracking participation form has information which help the organization in future like who will use the information, when and how. The Tracking form should give all the information concerning the participant.

After creating a data collection tool, it essential to test it before applying it.

After creating a data collection tool, it essential to test it before applying it.

After creating a data collection tool, it essential to test it before applying it.

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After creating a data collection tool, it essential to test it before applying it.

We can even better define methods and techniques for obtaining data, regardless of whether you use these methods. I would like to know how careful we should be with inquirers (who can falsify data in the matrix)?

Is there any website where to check data collection tools that others people/ogn used?

In my works as Anthropologist I have used differents tools for collecting datas as surveys, personal interview or in a small group of people. And always I have collect information using a Participant traking form, plus writing down the most important things of the interview himself. Plus i always record the interview so after i can ear it again and check all information I couldnt write. It is the best way to use Quantitative and qualitative tools for record information.

Hello, I appreciate so much for I have learnt a lot i didn't know about creating forms and how use them.

Thanks

Participant tracking form may be a great data collection to collect reliable as well as valid data.

Discussion on the 6 steps to create the Participants Tracking Form:

• Understand your indicator
• Decide which types of information to record
• Decide how the form will be filled in
• Create the form
• Test the form
• Revise the form

For creating data collection tools we have to:

1. Identify who will use this tool
2. Focus on essential information
3. Collect metadata - metadata is the information that explains how your data was collected.
4. Pre-test your tool
5. Train staff to use the tool and include instructions

Although I am I am an information scientist but this course has help me to dig my knowledge of data collection and the appropriate tools to use

For me I think tracking tool is focusing more on collecting specific data or do they may be simple

For me in Peyton data collection tools there is need to employ an expert who understand how to come up with the methodology and instruments

Yes that's very very important

I think this is one of the most exciting parts of this course, as it is where we generate the bulk of data for analysis and presentation to donors and officials. So it it imperative that care is taken to include all valuable information that would be needed to present a complete picture of the activity.

Date collection tools are survey focus groups interview observations document review

The following tips will always help us when creating any type of data collection tools.

• Firstly; we identify who will use this tool,secondly;we focus on essential information,thirdly;we collect metadata,fourthly; we pre-test our tool to see if it will be effective in collecting data.Lastly;we train our data collectors on how they can use the tool and instructions.

if data has been collected using the tools that are not matching the type of data that we are looking for,it may result in collecting insufficient or wrong information

I need a certificate from this certification to pass my course

I need a certificate from this certification to pass my course

It’s very important to create data collection tools

création d'outils de collecte de données

création d'outils de collecte de données

The methods and tools used are determined by the indicators chosen. It is good to test the tools if the situation allows for it. Tools should be simple enough with clear instructions.

The methods and tools used are determined by the indicators chosen. It is good to test the tools if the situation allows for it. Tools should be simple enough with clear instructions.

You need to have a deep understanding of the indicators in order to develop a good data collection tool

when choosing a data collection tool,we must make sure that the tool is suitable for the type of data that we want

very interesting how the forms are created

Data collection tools are forms, documents or guides that help individuals or organizations collect information or data.
It is important for every organization or individual collecting data to have a collection tool that guides them to provide adequate and accurate data.
Also, it is important because it helps us collect essential and useful information required for the project.

Data Collection Tools have to be prepared based on the needs of indicators. Where we have to consider what data we want to collect, how the data will be collected, and how the indicator can be measure using those data. We have to prepare forms, questionnaire, checklist and guideline based on the data collection method and demand of the indicators. After that we have to train our data collector on the designed tools and principles and to conduct field test. After getting feedback from field test, we have to update our tools to finalize these.

Data Collection Tools have to be prepared based on the needs of indicators. Where we have to consider what data we want to collect, how the data will be collected, and how the indicator can be measure using those data. We have to prepare forms, questionnaire, checklist and guideline based on the data collection method and demand of the indicators. After that we have to train our data collector on the designed tools and principles and to conduct field test. After getting feedback from field test, we have to update our tools to finalize these.

Data Collection Tools have to be prepared based on the needs of indicators. Where we have to consider what data we want to collect, how the data will be collected, and how the indicator can be measure using those data. We have to prepare forms, questionnaire, checklist and guideline based on the data collection method and demand of the indicators. After that we have to train our data collector on the designed tools and principles and to conduct field test. After getting feedback from field test, we have to update our tools to finalize these.

To creat data collection tools, that needs some knowledge but I can be easy if we ask between us

Data collection tools are tools that are necessary for data collection.
this is the process of creating the required tools for you data collection process.

If the tool is not well prepared how can it be structured and sent to the field

tracking your data

Creating the Data collection Tools, there should be maintain participants individual information and language would be easy to understand the participants.

Data collection tools are pertinent methods for data gathering and possibly storage as primary source and there needs to be as efficient as possible.

Creating a data collection tool must consider the relevant component of information required in project implementation and its success.

This tool is very useful to collect data to track beneficiaries to his we move towards success of the project. Instructions MUST be to vlear and simple for the person who will fill it.

Must build many Participant tracking form if we want to collect other informations about a specific target of the project?

Team, how best you put your tools to a test other than imagination and or stage-managing. Wouldn't a pilot study be ideal?

There are various data collection tools that can be used for your project. Your indicators determine which data collection tool you will use.

creating data collection tools allows keeping and analyzing data about the project

The fact of monitoring and evaluation is not availablity in the society of development and the other hand defines this message is not to access.

data collection helps and enables one to better evaluate and access the project.

creating data is necessary as after that only one can proceed further in the process and this also give more ideas.
collection tools act as a support to the data collection process.

What is data collection.docx

What is data collection?
Data collection is a systematic method of collecting and measuring data gathered from different sources of information in order to provide answers to relevant questions. An accurate evaluation of collected data can help researchers predict future phenomenon and trends.
Data collection can be classified into two, namely: primary and secondary data. Primary data are raw data i.e. fresh and are collected for the first time. Secondary data, on the other hand, are data that were previously collected and tested.
Methods of data collection
The system of data collection is depends on the type of study being conducted or types of indictors that we are going to measure. Depending on data collection plan and design, there are several ways data can be collected.
The most commonly used methods are:
• Published literature sources,
• Surveys (email and mail),
• Interviews (telephone,
• Face-to-face or focus group),
• Observations, documents and
• Records, and experiments.

1. Literature sources
   This involves the collection of data from already published text available in the public domain. Literature sources can include: textbooks, government or private companies’ reports, newspapers, magazines, online published papers and articles.
   This method of data collection is referred to as secondary data collection. In comparison to primary data collection, it is inexpensive and not time consuming.
2. Surveys
   Survey is another method of gathering information for research purposes. Information are gathered through questionnaire, mostly based on individual or group experiences regarding a particular phenomenon.
   There are several ways by which this information can be collected. Most notable ways are: web-based questionnaire and paper-based questionnaire (printed form). The results of this method of data collection are generally easy to analyse.

3. Interviews
   Interview is a qualitative method of data collection whose results are based on intensive engagement with respondents about a particular study. Usually, interviews are used in order to collect in-depth responses from the professionals being interviewed.
   Interview can be structured (formal), semi-structured or unstructured (informal). In essence, an interview method of data collection can be conducted through face-to-face meeting with the interviewee(s) or through telephone.
4. Observations
   Observation method of information gathering is used by monitoring participants in a specific situation or environment at a given time and day. Basically, researchers observe the behaviour of the surrounding environments or people that are being studied. This type of study can be controlled, natural or participant.
   Controlled observation is when the researcher uses a standardized procedure of observing participants or the environment. Natural observation is when participants are being observed in their natural conditions. Participant observation is where the researcher becomes part of the group being studied.
5. Documents and records
   This is the process of examining existing documents and records of an organization for tracking changes over a period of time. Records can be tracked by examining call logs, email logs, databases, minutes of meetings, staff reports, information logs, etc.
   For instance, an organization may want to understand why there are lots of negative reviews and complains from customer about its products or services. In this case, the organization will look into records of their products or services and recorded interaction of employees with customers.
6. Experiments
   Experimental research is a research method where the causal relationship between two variables are being examined. One of the variables can be manipulated, and the other is measured. These two variables are classified as dependent and independent variables.

In addition to the information I have posted about data collection tools or methods, we have to think about the data type we are going to collect and the expected information. In general Key questions to ask yourself prior to data collection:

1. What information are you going to collect?
2. How are you going to collect your data?
   a) Interviews/focus groups
   b) Phone records
   c) Surveys/questionnaires
   d) Medical records (or clinic and office charts)
   e) Recorded data different Organization
3. How will data be analyzed?

It is very important to be smart when creating data collection tools.

Firstly you need to understand your indicators, get avoid consuming time. To avoid consuming time, one can group the indicators and measures them using same tool. This can be done by using same method(surveys, interviews, observation) to collect data and use same source to collect get the information e.g., same people, areas etc.. Collect the information on the same schedule is also very important.

Great Module!

Data collection is the process of gathering and measuring information on variables of interest. There are different types of data collection for example Quantitative information collection. Different data collection strategies which includes case studies, observation ect. Collecting data allows one to store and analyze important information about existing projects, and collecting data digitally allows for a much larger sample size and improves the reliability of the data.

The tips for creating data collection tools include:-
-Identifying who will use this tool.
-Focus on essential information
-Collect metadata
-Pre-test your tool
-Train staff to use the tool and include instructions.