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when we are managing a data there might be many question arise in mind like-
1)What level of data security do I need?
2)What kind of data do I need to analyze?
3)What exactly I want to find out?
4)Where will data come from?
5)How can I ensure data quality?

i like this topic. i have learnt a lot

i like this topic. i have learnt a lot

when we are managing the data there are many question can popup in our mind like-
1)What exactly do I want to find out?
2)Where will my data come from?
3)How can I you ensure data quality
4)What kind of data do I need to analyze?

Clarifying role and responsibility in a in an M&E project is key to the success of the system

Data Management is key in an organization and these questions should be considered at the point of data management decision;
Who will do data collection
Who will enter and collate data and where the data will be entered
Who is responsible for data verification, analysis and storage
And who will prepare report and user of the data product.

Data flow map-quite and interesting flow diagram

Who assigns roles and responsibilities

Pendant combien de temps doit on conserver les données collectées?

data management stipulates how data shall be collected until it is used for decision making.
the process may differ from person to person or organization to organization depending on the roles and responsibilities designed in these organizations.

data management stipulates how data shall be collected until it is used for decision making.
the process may differ from person to person or organisation to organisatuion depending on the roles and responsibilities designed in these organisations.

a data flow map helps visualize tasks, roles and responsibilities together with the responsible parties thorough out the data management process.

data management is key to monitoring and evaluation processes.

data management is key to monitoring and evaluation processes.

good quality data improves precision in decision making

Data questions should be properly defined while taking into account the industry you're in and the rivals your company is attempting to surpass. Poor identification can lead to inaccurate interpretation, which can have a direct impact on business efficiency, overall performance, and generate issues. Some of the data questions that you need to find out are:

• what do you want to find out?
• what KPI will you use?
• where will you get the data from?
• which scale you will apply to your datasets?
• what steps can you take to assure data quality?, and many more.

Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. ... Managing digital data in an organization involves a broad range of tasks, policies, procedures, and practices.
That includes the following available options for different aspects of managing data.
Database management systems. The most prevalent type of DBMS is the relational database management system. ...
Big data management. ...
Data warehouses and data lakes. ...
Data integration. ...
Data governance, data quality and MDM. ...
Data modeling.

Data management as it sounds, consists of handling with care the data from collection to the usage. Depending on the type of organization, the data flow map can differ, as it can be for the roles and responsibilities. To appropriately manage the data it is crucial to answer some questions, among others:
What types of indicators be digital or manual? this will indicate whether we use android devices or paper?
this also informs whether separate data entry will happen or not
Who should be involved in the data management process ? to know roles and responsibilities within the flow
Etc.

Data is important to have good project

I am in need to know more about the means of verification

Data Management is the most important phase. It starts from dada collection, data entry and collacation, data analysis ,verification and storage and finally data usage. The data flow diagram helps us to know the flow of tools, actions, roles until we achieve products.

Data Management is the most important phase. It starts from dada collection, data entry and collacation, data analysis ,verification and storage and finally data usage. The data flow diagram helps us to know the flow of tools, actions, roles until we achieve products.

Data Management Questions they have helped me more to understand data management process properly that I can easily apply in the field. I am now an expert in the field.

Having a clearly defined data flow map makes it easier to know who is doing what and at what time. If roles and responsibilities are clearly defined, then data to be collected will be clearly refined

5 Data Management Questions to Ask During Software Selection
What level of data security do I need?
What kind of data do I need to analyze?
Cloud, on-prem, or both?
Which use cases do I need to focus on? What will the impact look like?
Will data management help me maintain compliance?

Before any decision to data management is taken, you should ask yourself these questions: the kind of data that we are Collecting, data collections tools, data roles, and data use.

A data flow map will help us visualize all the complex aspects of data management.

Questions to bear in mind as data management questions may include:

1. What are my tools for collecting data
2. Who will eventually benefit of use this data
3. Who is responsible for collecting, collating, analyzing, storing the data
4. Who is to ensure data quality. And so many other questions you may want to ask that are relevant to achieving the goal of your project

This is a detailed process, to map all the aspects of data management from collection to reporting, but a data mapping process and artefact will very useful to keep track of the process, and to look for improvements. This would be even more important and more useful in larger programs.

Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively, data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.

data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value. data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.

Surely I know that RDBMS is the most standard way to manage data but I believe that sometimes NoSQL database system can also be relevant to data management

The roles and responsibilities are very interesting

What is the best data management system?

Who in the project is responsible for data collection?

How can Big Data be managed in the libraries?

How to handle a dataset larger than Excel sheet size limit?

VERY INTERESTING AND SIMPLIFIED

In the same way, a data management process starts by bringing in raw materials: data collected from the project. As the data travels through the rest of the process it is organized, stored, analyzed and, finally, transformed into useful products, such as reports and decisions.

Data management is one of the most important steps in monitoring and evaluation processes. It is through this step that we understand all the processes of collecting data, storing, organizing, accessing, analyzing and using the data.
First step in data management is always data collection and the last step is the usage of the data by either donors, government bodies or other stakeholders.

Data security is dependant on organization policy, culture and the basic requirements giving to them by their donors. I understand there isn't a standard data security requirements standards.
There are many softwares for data analysis like;
SPSS
Epi Data
Excel spreadsheet sheet and others but the software to use always depend on the ease to use, the kind of data to analyze and other reasons as well.

That's true yes. It always start with the raw materials. After which the raw materials are collated to give some data which can then be entered into any system for storing, and other stuff.

If data is too bulb, it's advisable to always clean it and which some of the biasness can be removed.
Then choosing the right means for analyzing will also help handle such scenario.
Thanks, that's my idea.

Assigning that roles and responsibilities is solely done by M$E Advisor perhaps the organization is having such persons in their system.
After that, data collection can be a responsibility for each one when people are trained how to use the tools for data collection.

All data system are the best depending on the data they are handling.
Imagine a small data to be handled by an Excel spreadsheet and other bigger ones by digital system.
Bring it out in such a way. Thanks!

What do people did does people manage a data

I love this module so much . It really opens your eyes on how to easily manage data in any organization.
I'm very grateful for learning how to create a data flow map

Very much in agreement with this

Data management includes data collection,entry, analysis and verification and data use.Data management also involves the roles and responsibilities of every project member.In data collection is what is need to be done after collection of data thus through usei different data collection methods.Data entry involves collation or grouping of data in same categories.data analysis and verification is done at the end of the project to see if the intented results.data use is done to creat reports, come up with future decision and communication with community and doners

The objective of this study is to examine the implementation of a new information technology data-management plan at a residential care facility for individuals with mental illness/mental retardation. This facility also provides day treatment and respite care. This will include a two-person practice for a Nurse Practitioner and a Psychiatrist. The institute at focus in this study is a residential care facility for individuals with mental illness and mental retardation.

Good data management includes developing effective processes for consistently collecting and recording data, storing data securely, backing up data, cleaning data, and modifying data so it can be transferred between different types of software for analysis.

Good data management is inextricably linked to data quality assurance –the processes and procedures that are used to ensure data quality. Using data of unknown or low quality may result in making the wrong decisions about policies and programmes. Data quality assurance (DQA) should be built into each step in the data cycle − data collection, aggregation and reporting, analysis and use, and dissemination and feedback.

Even when data have been collected using well-defined procedures and standardised tools, they need to be checked for any inaccurate or missing data. This “data cleaning” involves finding and dealing with any errors that occur during writing, reading, storage, transmission, or processing of computerised data.

Ensuring data quality also extends to presenting the data appropriately in the evaluation report so that the findings are clear and conclusions can be substantiated. Often, this involves making the data accessible so that they can be verified by others and/or used for additional purposes such as for synthesising results across different evaluations.

Data management includes data collection,entry, analysis and verification and data use.Data management also involves the roles and responsibilities of every project member.In data collection is what is need to be done after collection of data thus through usei different data collection methods.Data entry involves collation or grouping of data in same categories.data analysis and verification is done at the end of the project to see if the intented results.data use is done to creat reports, come up with future decision and communication with community and doners

Ask questions about your data to help yourself think how to make your data flow

The more data you collect the best discussion you make

The more data you collect the best discussion you make

I learned that it's important to go step by step.

DATA MANAGEMENT QUESTIONS IN M&E
It is very imperative that we understand the actions that will happen as data travels from collection. Using what we know about the project, the data management process can you help us to formulate data flow map. Simple because it will indicate both who will use the data and send it on to others.
Data Flow Maps are very helpful tools for M&E planning. They show how data is collected, managed and used. Most M&E plans will include a professional-looking data flow map that has been created digitally. However, you can create a quick version of a data flow map using only a few pieces of paper.
Creating a data flow map can be a very helpful exercise to help clarify your data management process, as it helps you to think about how roles, processes, and tools might interact. Always remember to follow these steps:
• Use the Means of Verification column on the log frame to identify and arrange each data collection tool.
• Ask yourself how the data will be eventually used and arrange each accordingly.
• You must take into consideration all the roles that will help to manage this data.
• Hence these data collection questions become very important.
Who will:
a. Collect data
b. Enter and collate data
c. Check data quality
d. Analyze the data
e. Store data
f. Create reports
g. Send reports
h. Make decisions based on the data
Evidently, there are many roles and responsibilities that comes between the data collection and the use of data, it shows how data move through the system and transforms into useful products if the data management questions are factored and use sequentially.

I'm a visual person so it is helpful to see Data Flow Maps.

What total quantity management process can you apply in the data flow process?
I can use the Fishbone diagram by Ishikawa to I dentify the route cause of the problem,and it's other probable causes that make an institution to underperform interns of quality.For instant check on resources,working environment, availability of tools and the manpower.Therefore I would use Ishikawa diagram as a means of total Quality management

data managment is all about managing data from data collection, data entry, analysis, storage and make use of it

data management process starts by bringing in raw
materials: data collected from the project. As the data travels through the rest of
the process it is organized, stored, analyzed and, finally, transformed into useful
products, such as reports and decisions.

Data managers are charged with creating and enforcing policies for effective data management .As a data management manager, your work will be supervising the creation and enforcement of these policies. One of the questions asked is what are the roles of a data manager it is simply asking for the roles of a data manager which is to create and enforce policies. Also to create techniques to ensure quality data management. Lastly to ensure security procedures are implemented.
Secondly what qualities must a data manager possess? He must be problem solver, management is all about coming up with solutions. He must be a team leader he must mentor and supervise his subordinate, he must formulate a disaster recovery plan to prevent data loss, helping a firm protect its data from internal and external attacks that may cause dat corruption and potential identity theft. backing up data is very important, is our data backed up in an off shore station?These are some of the questions that help us in data management.

Yes its the core of a successful project

Is the field monitor can analyze data?

Data Management Questions
What are the common mistakes in designing data flow mapping?

The data question should also ask, who is the right person to collect data? why this person is identified?
What results we are expected at the end of the data collection?
How can we use the data efficiently?

Data management questions: This are basic questions the organization will ask its top board of director to achieve data management process. Questions such as
a) What level of data security do I need? Some vendors offer expansive
b) data protection capabilities. ...
c) What kind of data do I need to analyze? ...
Cloud, on-prem, or both? ...
d) Which use cases do I need to focus on? ...
e) Will data management help me maintain compliance?

Discussion on modules 5 was very interesting and it made me understand a lot on Data management

Good data management helps organizations make sure their data is accurate

Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.

What are data management skills?
Data management skills are the abilities you use to effectively manage and use information. Data management skills involve looking for patterns, understanding database design concepts and being able to participate in short and long-term planning about database projects.

Data management skills are the abilities you use to effectively manage and use information. Data management skills involve looking for patterns, understanding database design concepts and being able to participate in short and long-term planning about database projects.

1. For each data tools, who will be responsible for collecting the data?
2. For each data tools, who will be responsible for ensuring data quality?
3. Who will enter data?
4. Who will collate data?
5. Where will data be entered?
6. Who will analyze data?
   7)How often will data be verified?
   8)Who will verify the data?
7. Who will decide what data gets stored, archived safely when / after the project ends.
8. Who will archive them?
9. Who will prepare reports?
10. Who will send reports?
11. Who will prepare other data products, such as monthly summaries?
12. Who will use data to make decisions?

Assigning specific responsibilities to the team ensures smooth flow of data from the field to the donors desk

Data management involves collating and analyzing data, storing anv making reports that can be used for decision-making and future projects.

A data flow diagram can be a good reminder of people responsibilities and also show how data flows on the project

how to deve dada collection tool. such a questionaire etcs

What impressed me a lot in this part of data management and card design. It makes it possible to define the roles and responsibilities of the various stakeholders in the project. Because most often, the non-definition of the roles and responsibilities of the monitoring-evaluation plan leads the actors to disengage from the implementation of the monitoring-evaluation plan.

Je suis tout à fait d'accord avec cette assertion. Merci

Data Management involves designing of data collection tools?

What level of data security do I need?
What kind of data do I need to analyze?
Which use cases do I need to focus on? What will the impact look like?
Will data management help me maintain compliance?

Data management question are question ask for the purpose attaining or achieving a particular goal, set by an organization or company. it involves the data management processes such Data collection, Data entry and collation, Data analysis, verification and storage and finally Data.

Why is data management important

It depends on the nature of the project... How big the project is

What can help you to identify all that are supposed to analyze and use your data.

Besides database and spread sheets, what else can be used to collate data.

What is the most important aspect of data use?

What is the best way of providing security for data?

It is very key to the ultimate outcome, which are the findings. There is need to manage data in a professional manner so that the findings are reliable and accurate

No:

Data Collection
Data Entry n Collation
Data Analysis n Verification
Report Writing

This is the Data Management Process, more like it I should say

Can data be used for a long period of time?

Data management is a process that must be planned.

Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization.

The data management process includes a combination of different functions that collectively aim to make sure that the data in corporate systems is accurate, available and accessible.

Forgetting to include a data flow or pointing an arrow in the wrong direction.

You cannot manage what you do not measure.

The data management questions to be asked are:

What level of data security do I need?
What kind of data do I need to analyze?
Which use cases do I need to focus on? What will the impact look like?
Will data management help me maintain compliance?
What exactly do you want to find out?
What standard KPIs will you use that can help?
Where will your data come from?
How can you ensure data quality?
Which statistical analysis techniques do you want to apply?

The data management questions to be asked are:

What level of data security do I need?
What kind of data do I need to analyze?
Which use cases do I need to focus on? What will the impact look like?
Will data management help me maintain compliance?
What exactly do you want to find out?
What standard KPIs will you use that can help?
Where will your data come from?
How can you ensure data quality?
Which statistical analysis techniques do you want to apply?

The data management questions to be asked are:

What level of data security do I need?
What kind of data do I need to analyze?
Which use cases do I need to focus on? What will the impact look like?
Will data management help me maintain compliance?
What exactly do you want to find out?
What standard KPIs will you use that can help?
Where will your data come from?
How can you ensure data quality?
Which statistical analysis techniques do you want to apply?

Data management questions help us to ensure that the data we are collecting is used for its pre-intended purposes. We need make sure that who is going to collect data, what type of data collection tool we are using, who is going to enter the data, sort out data based on their nature and type, who analyze the data, who should store the data in the system, who manage the database, and who verify the collected data whether they are accurate and determining who will use the data.

After establishing what you want to measure, deciding what data collection tools to use is equally important.
Determining who will collect, collate and store data, that is, the capabilities of the data collectors and their familiarity with the data collection tools needs to be taken into consideration.
Who will analyze and use the data to make decisions and whole are the final receipts of the data. These are the necessary questions in data management process.