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Data management is the way you handle and treat your data. In an elaborated form, Data management is the effective practice of collecting, storing, protecting, delivering, and processing data.

Data management is the way you handle and treat your data. In an elaborated form, Data management is the effective practice of collecting, storing, protecting, delivering, and processing data.

DATA MANAGEMENT QUESTIONS.

Data management is how you extract answers and insights from raw data to meet your information needs. The proliferation of electronic data-collection methods in recent years has created the impression data management is all about technology, but its roots are firmly in accounting, statistics, and planning.
Data management includes storage, data security, data sharing, data governance, data architecture, database management, and records management. Once your data management strategy is in place, you’ll glean important insights by using your data to its full potential.

Are you involved in the provision of data management support to social science researchers? Do you regularly get questions about the implementation of day-to-day data management practices? Do you sometimes struggle to answer researchers’ questions?  Do you wish to learn more about key data management ?

1. What is your data?

Quantitative, qualitative, spatial, text, video, physical object, ???

Will the dataset(s) grow over time?

What tools or software are needed to create & use the data?

2. How will you document and describe the data?

Methodology

Field names, data identifiers, metadata

Naming conventions

3. Does the data need to be protected?

Participant/human subject privacy

Intellectual property

Anonymization

4. Will you share your data with others?

Expectation of funding agency

Open access

Journal citation

5. How will you store and access the data over short - and long-term loan?.

How long?

What file formats?

Hosting site?

At the heart of knowledge and information, data has gradually taken on an importance that is beyond us. But what exactly do we mean by data? What are the issues surrounding their management or analysis? What impact on society?
Data is the basic description of a reality or fact, such as a temperature reading, a student's mark on an exam, the status of an account, a message, a photo, a transaction , etc. A piece of data can therefore be very simple and, taken in isolation, not very useful. But cross-checking with other data becomes very interesting. For example, a list of temperatures for a given region over a long period can tell us about global warming. Or the average mark of a student in a subject over a year informs us of the level of acquisition of knowledge of the student in this subject. There is therefore a subtle relationship between data and information, terms that are often confused in everyday language. But obtaining information requires the work of analyzing and interpreting the data (eg a list of grades) to give them meaning in a certain context (eg a subject over a year). Thus, data is the raw material that makes it possible to produce information, which can be used for various daily activities: evaluation, recommendation, decision-making, forecasting, research, etc. Conversely, to understand where information comes from, it is necessary to be able to find the initial data, hence the need to record this data in a memory.
The digital world that is emerging before our eyes has been made possible by developments in research in many fields, and especially in computer science, the science that deals with data and algorithms. Digital and IT feed off each other in a virtuous way, with the digital world generating many new research problems related to data or the automation of increasingly complex tasks. And because digital technology leads to a profound questioning of our modes of organization, it also gives rise to research at the crossroads of disciplines, to think about the many legal, economic, environmental, political questions, etc. which he raises.

Data management process is an important role in M&E plan to ensure each step tasks are assigned to some one to do it, because each one's efforts is what makes a project a success

Data management is based on collection of data, data usage,data flow maps data collection tool and data Analysis data management process is not quite simple data's are collected and recorded at different test and days.

A very important thematic unit. It is necessary to develop such tools.

I think data management is key in design. A clear picture of how data will be collected, collated, analyzed, used and the responsibilities of all those involved in the process paints a picture of success.

Data management is vital to M&E as duties can not be well executed if the data management is poor.

why should data be arranged
what should the hierarchy of data use
who should use archived data

Before discussing Data Management question let's take a look at Data Management and Data Management process.
The main aim of Date Management is to help people, organizations etc. make good decisions while Data Management process are necessary steps taken in order to convert raw data into useful information. these whole processes cannot be effective if some Data Management Questions aren't answered, questions of
1- What are the responsibilities, the tasks, that will need to be completed
2- Who are the people who will take on these responsibilities and what are their roles.
Data Management questions help individuals, organizations etc. share responsibilities effectively and gives works or participant clear roles.

The data management question are: who collect the data, who collate the data, who manage the data, who use the data, and who the data benefit?

I believe it is never too early to begin thinking about the answers to these questions and incorporating them into the design of a research project.
What information do you have?
How are you going to document and describe the data?
Is it necessary to protect the data?
Will you make your data available to others?

Data management is the process of collecting, collating, compiling, analyzing, report writing and archiving.

why should data be arranged
what should the hierachy of data use
who should use archived data

The section is useful and clear.

data management informs decision making hence its one of the important components of a good M&E

that is very true and when fully build brings accurate results

for easy data analysis process

can the same framework apply for complex technology projects?

1. In the data management process, can one person be saddled with two roles?

2. Is it really necessary to send reports to donors and sponsors after a project?

I concur.

The data should be collected preside and transparent method treated in secure because it contains peoples personal information we have to train our staff how to use track forum so we can show to our donors the donors will be convinced when they see consisten data

Data management questions include:
Data collection
who will be responsible for collecting the data?
who will be responsible for ensuring data quality?
Data entry
• Who will enter data?
• Who will collate data?
• Where will data be entered?
Data Analysis
• Who will analyze data?
• How often will data be verified, and who will verify them?
• Who will decide what data gets archived after the project finishes? Who will archive them?
Data Use
• Who will prepare reports?
• Who will send reports?
• Who will prepare other data products, such as monthly data summaries?
• Who will use data to make project decisions?

data management is the process of managing data entry,data collection, and data analysis process, including the role and responsibility of persons who assign at .

data management is the process of managing data entry,data collection, and data analysis process, including the role and responsibility of persons who assign at .

There are different types of Data Management Questions raised during data flow mapping. To mention some of them as follows:
Data Collections:- • For each of our tools, who will be responsible for data collection?
• For each of our tools, who will be responsible for ensuring data quality?
Data Entry and Collation:- • Who will enter data?
• Who will collate data?
• Where will data be entered?
Data Analysis, Verification, and Storage:- • Who will analyze data?
• How often will data be verified, and who will verify them?
Use:- • Who will prepare reports?
• Who will send reports?
• Who will use data to make project decisions?

Data management is the way you handle and treat your data. In an elaborated form, Data management is the effective practice of collecting, storing, protecting, delivering, and processing data.

resposibilities of data mamangement processes

Dear instructors,
Please provide guidance on how to analyze the data collected from the field.

Where should the data be stored during the project?

Interesting to see the many roles and responsibilities that might evolve in a larger organisation. I wonder how we manage biases and data errors in smaller organisations where a lot of the data work is conducted by the same person.

grateful for the wonderful experience of interacting with data management tools.

Data Management is a key activity in monitoring and evaluation. Best practices in data management improves data quality for the organization and make informed data driven decision on project improvement and programming. Perfect assigned roles and responsibilities to the project staff gives each member in a team to know where and when to transfer data to the management for analysis and reporting.

Therefore data management is crucial for the programming, and continuation of the the project.

It should be in details

Nice one but should be in detail

Clarifying and assigning roles and responsibilities in the data management process can make the entire project fruitful and easy for everyone involved.

The issue of data management questions concerns the process of data collection for M&E of the project. The collected data are organized, stored, analyzed and finally transformed into useful products, such as reports and decisions

A complex journey that data take from start to finish, it visually shows important about the data management process

Data Management means all the processes for collecting, storing, organizing, accessing, analyzing and using data. The data management process starts from dat entry, analysis, storage, verification and use.
Monitoring and Evaluation staffing depends on the organization's preferences. Data verification help in ensuring data quality through routine checks and security.
Data can be used for creating reports, communicating outcomes to the community, making project management decisions and helping to design future projects.

What i've learnt during this module is that the data management process is the skeleton of a project. It helps to know how, why, who , when, the data will be used or need. With that document you can practically have the complete technical team of the project, so it can help also for the human ressources management, and can be connected to other part like logistics etc.

Dans ce module, il était question d'expliquer comment les données doivent êtres utilisées sur le projet depuis la collecte jusqu'au reporting. pour cela, il faut développer une carte des flux des données pour les données du projet; développer également un tableau des rôles et responsabilités pour notre système de suivi-évaluation et enfin développer et réviser notre plan de S&E assemblé. Certains mots-clés ont attirés notre attention tels:
Rôle, responsabilité, gestion, classement et archivage.

I would like to say that 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.

10 key data management questions will be addressed, namely:

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?
How much anonymization is enough?
How much documentation is needed?
How to select which data to archive and share?
What are the advantages of sharing data through a data infrastructure?
How can we improve data management support for researchers?

DATA COLLECTION
-Who will be responsible for data collection?
-who will be ensuring data quality?

DATA ENTRY AND COLLATION
-who will enter data?
-who will collate data?

DATA ANALYSIS,VERIFICATION AND STOARAGE
-who will analyze data?
-how often will data be verified?
-who verify data?
-where will data be entered?

Data managment process in crucial for approriate collection, analysis,and use of data

Data flow starts from the bottom and goes to the top decision makers. So we have different roles and responsibilities as the data collector collects quality data and hander over the managers and M&E teams to be analyzed and, these bodies will bring the analyzed data for decision makers (government, donors and also to community leaders).

La gestion des données est un ensemble de processus allant de la collecte des données à l'utilisation de ces données en passant par la saisie, la collation et l'analyse, la vérification et le stockage de ces données.

Data measurement management are very useful for my knowledge

Data management system help us to manage our data step by step and to realise the roles and responsibilities of every member of the organisation

Data management system help us to manage our data step by step and to realise the roles and responsibilities of every member of the organisation

Data management shows to be a part of Monitoring and Evaluation that most teams overlook and as a result there is always confusion in the workplace.

Firstly, make sure that our stackholders have an understanding of the monitoring and evaluation plan and they understand the guidance on how to use data.
secondly, make sure that they understand that this data represents human beings and therefore data needs to be treated with respect.
Thirdly motivate our staff to go through regular training within the life of the project on data use and how to
handle it.

I LIKE THE ASPECT THAT THE VIDEO POINTS OUT THAT THIS DATA REPRESENTS PEOPLE AND SHOULD BE TREATED WITH RESPECT

The data management process involved data collection, entry, analysis, verification, storage and usage. Part of the data management is also to have a data flow map which will help to assign roles and responsibilities and this involve us to be clear when drawing out our data flow map on how we will use our data and how often we will use the data,

Without organization who will be collecting, analyzing, and using data, and what it's eventual purpose is, m&e becomes impossible and without an aim. To keep things efficient and promote a successful program, it is necessary to go through these steps, such as creating a data flow map, to measure program indicators.

I agree!

Absolutely, that's a point that I think can get lost when we focus in on data

Data management also known as data factory encompasses all the processes involved in the collection and use of data. These processes include;
Collection of data; this involves gathering raw data either from a research, survey, questionnaire or thruogh several means.
Data entry and collation: these involve the entry or the inputing of the raw gathered data to digital system for safe keeping while collation on the on the other hand refers to inputing or entering data of same similarities or same type.
Data analysis, verification and storage: these involve analyzing the entered data by using the data to ask questions and getting conclusions, verifying the entered data to be sure that the data are being collected in an accurate manner then storing the data for future purposes and referencing.
Data use: this involve the use of the stored data for various purposes such as report writing, project writing, design and management decision making.

The frequency of data collection and data collection template should be predefined (while designing the project). Uniform data collection, analysis(management)helps to track(monitor) project implementation and It is very essential to evaluate a project based on key indicators. Key indicators can only be measured through robust data management.

Monitoring and Evaluations are the key elements of the project management cycle, inappropriate or lack or monitoring and evaluation plan will have the following negative consequence on the project.
There would not be baseline
There would not be project indicators
The project outcome and impacts can not be measured
In refer to the above two cases, in the first project the project manager has M&E plan and teams knows what is the project goals. what to open 1200 saving account for girls in 34 Kenyan village in next 6 months. therefore everyone knows what to do to have successful project.
in the case of second project the project manager and project team know the donor demand, they that donor want to have accurate information from the field, the project progress, from the project goals, project outcome and project baseline, therefore now the project manager realized they need for project Monitoring and evaluation plan. therefore the project Monitoring and evaluation plan is the key for the successful implementation of the project and every project should have accurate M&E plan.

Risk and Assumption
there are number of risk and assumptions

if there is not enough data or baseline, it would be difficult to measure the progress of the project and to measure the impact of the project
of reach specific project the project manager need to have specific data and baseline
the other risk for project outcome or impact measurement is the intervention of multi-organization, if there is number of organization working in the same field with the same community it would be difficult to understand the impact of your own work.

Monitoring and Evaluations are the key elements of the project management cycle, inappropriate or lack or monitoring and evaluation plan will have the following negative consequence on the project.

There would not be baseline
There would not be project indicators
The project outcome and impacts can not be measured
In refer to the above two cases, in the first project the project manager has M&E plan and teams knows what is the project goals. what to open 1200 saving account for girls in 34 Kenyan village in next 6 months. therefore everyone knows what to do to have successful project.
in the case of second project the project manager and project team know the donor demand, they that donor want to have accurate information from the field, the project progress, from the project goals, project outcome and project baseline, therefore now the project manager realized they need for project Monitoring and evaluation plan. therefore the project Monitoring and evaluation plan is the key for the successful implementation of the project and every project should have accurate M&E plan.

Risk and Assumption
there are number of risk and assumptions

if there is not enough data or baseline, it would be difficult to measure the progress of the project and to measure the impact of the project
of reach specific project the project manager need to have specific data and baseline
the other risk for project outcome or impact measurement is the intervention of multi-organization, if there is number of organization working in the same field with the same community it would be difficult to understand the impact of your own work.

believe it is never too early to begin thinking about the answers to these questions and incorporating them into the design of a research project.
What information do you have?
How are you going to document and describe the data?
Is it necessary to protect the data?
Will you make your data available to others?

Data measurement management are very useful for my knowledge

Data management involves all the processes of collecting, storing, organizing, accessing, analyzing and using data. Within involves collation which is the grouping of all responses to similar questions.

1. Yes, if they're capable of handling the tasks. Plus it also aids in budgetary efficiencies.

Data Management entails the entire process from the technique or methods to the collection tools.
The steps in Data Management includes:

Data Collection
Data entry
Data Analysis
Data Storage or Archiving
Create Reports or send Reports
Make decisions based on the data

Roles and Responsibilities at every step of M&E plan is very essential for the success of the project

Does the data need to be protected?

Need help on the responsibility of the monitoring and evaluation officer

What is your data? ...
How will you document and describe the data? ...
Does the data need to be protected? ...
Will you share your data with others? ...
How will you store and access the data over the short- and long-term?

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?
How much anonymization is enough?
How much documentation is needed?
How to select which data to archive and share?
What are the advantages of sharing data through a data infrastructure?
How can we improve data management support for researchers?

Is there any established platform for data management?

What is data?

Before assigning roles and responsibilities, consider then data management processes.

Data flow map is most important aspect of the Data management system which if not well dealt with will lead to the unsuccessfulness of a very promising project

Hello team, anyone, has master this part of data management ?

Data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or artistic activity, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. All other digital and non-digital content have the potential of becoming research data. Research data may be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data, or repurposed data.

What Do We Mean By "Data Management"?
It's never too early to start to think about the answers to these questions and incorporate them into the development of a research project. The answers may change over the course of your research.

1. What is your data?

Quantitative, qualitative, spatial, text, video, physical object
Will the dataset(s) grow over time?
What tools or software are needed to create & use the data?

2. How will you document and describe the data?
   Methodology
   Field names, data identifiers, metadata
   Naming conventions

3. Does the data need to be protected?
   Participant/human subject privacy
   Intellectual property
   Anonymization

4. Will you share your data with others?
   Expectation of funding agency
   Open access
   Journal citation

5. How will you store and access the data over the short- and long-term?
   How long?
   What file formats?
   Hosting site?

These are questions help to identify the roles and the responsibilities of data manamanagement. These questions include:
What are the responsibilities and the tasks that will need to be completed?

Who are the people who will take on these responsibilities, and what are their roles?

Effective Data management requires assigning specific roles and responsibilities to team members who are well equipped

Data is the key indicator of a project's progress and success.

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?

Why should I care about data management?
What normative framework applies to the data?
Is personal data being processed?
Is consent mandatory?
Where should the data be stored during the project?

Does the data need to be protected? ...
Will you share your data with others? ...
How will you store and access the data over the short- and long-term?

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

The outstanding can be the Data management draw the guide of the process of M&E with all the involved parts, their distribuited responsabilities and the bound between them to ensure the yhe plan is clear for all involved parts.

Data management includes collecting data, collation, verification, analysis, using, and storing data. To go ahead with data management, it is important to create a data flow map, it provides guidance on responsibilities and roles, how data is collected, sources, and where data is meant to go.

some questions to ask during the data management stage are;
what data tools are we using
who is responsible for using them, analyzing them, and verifying them
where does it go and what timeline

These questions will provide a guide on creating a data flow map, which provides the whole picture.

Data management questions are essential, as it ask the question who which allows for roles description and responsibilities

I think data collection and data entry work can be done by HRIOs

Data management is about Collect data, Enter and collate data, Check data quality, Analyze the data, Store data, create reports, send reports and Make decisions based on the data.

I think that a very important aspect is that we include the beneficiaries as recipients of the data products.
This helps to share information with all the skateholders and to ensure that the beneficiaries take the project and the actions as own.

I think that a very important aspect is that we include the beneficiaries as recipients of the data products.
This helps to share information with all the skateholders and to ensure that the beneficiaries take the project and the actions as own.

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors

Yemen suffered mainly from scarcity of natural resources, especially in water and unemployment among young people, especially in the rural areas, which is reflected in the livelihoods, especially in the agricultural sector, which employs more than half of the population and exacerbated the worst outbreak of conflict in March 2015, As a result of displacement, the United Nations estimates the number of displaced people at 3 million, in addition to the glut of production inputs, mainly oil derivatives, with low production and cheaper product prices, where agriculture has become ineffective, which has been reflected in the food security of the society, Based on grains, vegetables, and meat crops where the United Nations estimates the number of people suffering from food insecurity with 8.4 million. And the interruption of salaries of state employees for nearly two years to stop many services of government offices, including services of agriculture, both plant and animal, which contributed to the decline in productivity significantly and affected the private sector represented by traders of agricultural inputs and livestock from the other side The project aims to mitigate the impact of the crisis And to help them continue their work and restore their means of livelihood. The project will achieve tangible results in: 1. restoring the livelihoods of the target families. 2. Creating jobs 3. Reviving the private and local sectors