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Data Management should be completed prior the start of the implementation of the project

Bonjour
J'ai juste une question concernant le 5e module d'analyse des données le cours penche beaucoup sur les théories qu'au niveau des logiciels au moment ou ont ne peut pas dire analyse des données sans logiciel.
Je voulais savoir s'il y a un autre cours qui va nous enseigner comment analyser les données avec les logiciels (SPSS, ATLAS, STATA, EXCEL...)

Oui, ont doit protéger les données

Je crois vous êtes toujours obliger de le gérer comme vous le faisiez avant mais il faut éviter de modifier des données enregistrer, Il faut aussi sécuriser l'outil qui vous a aidé a récolter les données. Vous pouvez aussi informez vos chefs la situation et leurs proposer si tu peux les envoyer si toutes les conditions sont réuni (connexion, et si tu es capable de le faire toi même )

Selon moi non, je crois la partie importante c'est le Cadre Logique car c'est un outil que nous utilisons du début a la fin du projet nous pouvons même dire que c'est le tableau de bord du projet.
La gestion de données c'est important mais pas tres important.

Quelles sont vos données ? ...
R/ Les données ce sont les informations récoltées avant, pendant et après le projet
Comment allez-vous documenter et décrire les données ? ...
R/ Nous pouvons décrire ou documenter le projet dans plusieurs façons : 1. Manuelles, 2. Sur l’ordinateur, Téléphone Android et enregistreurs ou vidéo
Les données doivent-elles être protégées ? ...
R/ Oui
Partagerez-vous vos données avec d'autres ? ...
R/ Oui, selon notre procédure ou la carte de plux
Comment allez-vous stocker et accéder aux données à court et à long terme ?
R/ Je peux les stocker dans différentes manière :

• Dans une base des données dans l’ordinateur.
• Dans une base des données dans le téléphone
• Dans une base des données dans le disque dur externe.
• Dans une base des données dans OneDrive
• Dans une base des données dans un serveur que je peux créer protéger (ONA.IO)

Quand vous gérer les données il faut respecter tres bien le diagramme de flux de données comment les données doivent circuler de la collecte a l'approbation :

• Agent de terrain
• Officier terrain
• Chargé de Suivi et Evaluation
• Chef de projet
• Directeur
• Gouvernement
• Bailleur
• Bureau international de l'organisation
• ....

Les données ce sont des informations récoltées soit au terrain, dans des archives, dont nous pouvons dire données primaires ou secondaires. En utilisant les différents outils (Papiers et stylos, téléphones androïdes, Ordinateurs....)

A data management plan is a structured system detailing how data will be collected, managed, preserved and shared in a research project. It addresses data management throughout the research lifecycle and should include information on the following:
 What data will be collected or created (including both primary and secondary data);
 The instruments and methods that will be used to collect and process data (including any software that may be created);
 The quality control processes that will be applied to maintain consistency and accuracy of data and reduce the incidence and impact of error;
 How data will be stored and kept secure during the active phase of the project;
 How data will be organised, so that they can used efficiently;
 What information will be recorded about the data, so that they can be validated, interpreted and used by yourself and others;
 How any ethical and data protection issues relating to any research participants will be handled, where this is relevant;
 How intellectual property rights in the data will be handled;
 How and when data and supporting materials (such as software code) will be preserved and shared at the end of the project;
 Who will be responsible for doing what, and what resources will be required.

Data management comprises of the following steps; collecting, storing, organizing, analyzing and using data.
In data management, the following questions come in mind; How is data collected? How is it stored? How is data organized? How is data analyzed and used?

The data management process is a step by step procedure that should be handled well to ensure data quality.

Data management involves organizing, storing, and maintaining data to ensure its accuracy, completeness, and usefulness. Key questions in data management include: how data is collected, stored, and processed; how to ensure data security and privacy; how to handle large amounts of data; and how to ensure data integrity and reliability. Effective data management strategies help organizations make informed decisions and achieve their goals.

data management questions will setail how data will be collected,managednpreserved and share .

the quality control should be applied to maintain consistency and accuracy of data to reduce errors impact

Data flow map is a very useful tool that can help to design how communication (about data and reporting) will be managed throughout the project

Every project needs to have a well structured data flow map which clearly explains the roles and how the data gets to the donors.

Every project needs to have a well structured data flow map which clearly explains the roles and how the data gets to the donors.

Data management is the key in an M&E process. The data flow map needs to be well designed to effectively use data in q right and efficient way. Another thing to consider is the skills of data collector, data processors which need to be at a very good level.

Indeed yes. Data need to be protected as said in the video. There are human being behind data collected. Due to confidentiality and some time the sensitivity of collected data, the need to be protect. By doing so, you are protection the safety of your data/information provider.
It's not advise to share data with others outside the project. Sharing data is coming back to share relevant and sensitive information. You risk losing the confidence that participants have placed in you and losing the credibility of your service/project vis-à-vis the public. However, I think that result can be shared if there is no disclosure conditions binding them.
According to the need, it's possible to store the data and use it back in a short-term if needed. In a long -term, data can become useless because things may evolve.

The data management process is very important for every project and organization. We do invest a lot of energy in the field to collect vital information. Once the information is collected the data processing phase starts means entering the data, analysing the data and most importantly deriving meaningful conclusions to support the implementation and measuring the impacts of the interventions. This all depends on the right people for the job.

Data management has different steps, they include data collection, data entry, data collation, data analysis, archiving or storage lastly data use.

Data Management; is that mostly related to data collection, entering, verification and use? is there any way we can understand data analysis and hoping a very crucial topic in data management.

This module explains how data are used on the project from collecting, through reporting.

Data management is the processes for collecting, storing organizing and using the Data.

This module explains how data are used on the project from collecting, through reporting.

Data management is the processes for collecting, storing organizing and using the Data.

In data management , it is important that the information collected be accurate and communicated on time to facilitate informative decisions.

Data Management helps ensure businesses don't use multiple, potentially inconsistent versions of data in different parts of business, including processes, operations, and analytics and reporting. The three key pillars to effective data management include: data consolidation, data governance, and data quality management.

Est-il possible d'avoir des mauvaises données, si le responsable, chargé de collecter les données n'est pas estimé par les chargés de communiquer les données ?

En plus des ces processus énumérés, la collation des données est un processus important pour organiser les données.

Where does the data that we need currently live?
Can we get our data to where it actually needs to go?
Do we have data quality issues that undermine user trust?

Where does the data that we need currently live?
Can we get our data to where it actually needs to go?
Do we have data quality issues that undermine user trust?

What is Data management processes?
Name methods of Data collection?
what is the right definition of collation and archiving of data?
how can data be used?
What is a data fllow map?

1. Which tool shall be used to collect which data?
2. Who will be collecting the data?
3. Who will be analyzing and using the data?
4. Who will share the data and who will be recieving it?

I think the management part is equally as important as other parts because the data is what we are after all going to need inorder to get the jobs done. It is important to learn some data analysis to be able to enhance understanding

Data management in monitoring and evaluation is a widely-used practice within a number of industries and sectors, including humanitarian assistance. This data management can involve a wide variety of activities, including data collection on relevant indicators, analysis of the collected data, and a reporting system to ensure that the properly analyzed data is seen by key people at every level. For many programs, these activities make up a repeating cycle that enable reliable data to inform continuously improving programmatic activities.

Creating a data flow map seems daunting at first but when you understand the data you want, who needs it and where to use it, it becomes easier to create.

La gestion des donnés est une phase cruciale pour la réussite d'un projet .

La bonne gestion des donnée peut aider une équipe à atteindre son objectif

La stratégie appliquée pour la gestion des donnée doit être bien illustrer

Effective data management requires that all loops are covered and that starts with answering all the necessary questions. Having a well thought through map makes data management easier as there is a clear data management path. In the process of monitoring and evaluation, I think this is one of the most important parts and therefore needs to be given sufficient thought. For small projects and small organisations, this chat may be as simple as having one person collect the data, process and make sense of it... however, quite often, our projects require more than the basics. More technical people may actually be needed to effectively collect, analyse, interpret and store the data. Under such, the company should be willing to invest in the technology and personnel necessary. Also, its important to talk about security when it comes to data given the increasing risk of data phishing and piracy.

management data is very important in order to achieve your project goals , so a good management data
can lead you to succes of you project/programm.

management data is very important in order to achieve your project/programm goals, so a good management data can lead you to sucess of your project/programm.

thanks you for your advices

Data management process is so important in any organization as one its make the process of implementation smooth as everyone knows what to do . secondly help organization manage data collect for it to reach to final products which is reporting and decision making.

The data managements is process of handling data from the initial points and functioning points.
From Which the initial points refer to Data collection Phrase and Functioning points refer to Data usage.
its made up of four steps such as
-Data collection
Data entry
-Data Analysis
Data usage.

Data management is the process of gathering, storing, and utilizing data in a cost-effective, efficient, and secure manner. Customer relationship management systems, marketing technology systems, data warehouse systems, and analytics tools are the four categories of data management.

Data management questions are key in data processing. they include who is in charge of the stage of data collection? How the collected data is used? How the data is stored? who collates the data and when?

The data has to be collected using the right data collection tools as per the scheduled time and alloted budget. Secondly, the collected data has to be correctly analyzed and interpreted.

The data has to be collected using the right data collection tools as per the scheduled time and alloted budget. Secondly, the collected data has to be correctly analyzed and interpreted.

Data management questions are ,what is your data?, How will you document and describe the data?, Does the data need to be protected?, Will you share your data?, How will you store and access the data over short -term and long-term?

-For each of the tool, you know who will be resipoble of data collection and data quality.
-Data entry: Know who will enter data, who will collate the data and where will the data be entered.
-Data analysis, verification and storage: Know who will analyze the data, how often will the data be verified and who will be resiponsible of verifying the data.
-Know who will prepare and send the reports

the module was good

What are the responsibilities - the tasks - that will need to be completed?
Who are the people who will take on these responsibilities, and what are their roles?

Data management has four phase
1 planing
2 data collection
3 database creation
4 reporting

Data Management play a crucial role in smooth project implementation. The best part of it is role identification.

Proper data management structures are necessary for good quality data would be achieved

Data flow map is new to me and is really a relevant topic since it shows the journey data go through from collection to use. This topic is very important when planning for Monitoring and Evaluation

Tu dis vrai!

Comment doit se faire l'archivage des différentes données collectées?

As you may have noticed, many of the steps that we have just described are, such as data analysis or data verification, are complex, challenging subjects that probably deserve their own courses. Additionally, ensuring data security throughout the process is an enormously important issue, and is difficult to do well. It is beyond the scope of this course to give helpful advice on all of these topics. However, we hope that this overview gives you an idea of the types of tasks that your team will be responsible for completing.

As we continue through this module, you will begin making some decisions related to these subjects. However, as you do this, keep in mind that these are complex subjects that we have not had the time to fully explore.

When managing data, it is crucial to pose a thoughtful question. The management of data will be informed by this.

Data management is one of the important steps in monitoring and evaluation progress. The validity and creditability of the data based on on the data collection and data management. All stakeholders need to understand their role and responsibility for each process of data management such as data collection, data entry and Collate, checking data quality, analysis data, store data, create report and send a report, and making decision based on data.

Using information from M&E system is important for government and stakeholders for formulating effective policy and implementing successful policy and project. However, the information provided by M&E system should have credibility and validity. In this regard, the data management is relatively important to increase the accuracy, credibility, and validity. Starting from systematic data collection to data use, all process should be carefully implement.

Data Management and Use is a very important aspect of M&E.

Data Map really helps to visualize the data collection process. It helps to see the end of all the work that is being done.

Data Map really helps to visualize the data collection process. It helps to see the end of all the work that is being done.

There are several data management questions that can arise in the context of M&E. Here are some examples:

What types of data should be collected, and how should they be collected, managed, and analyzed?
How should data quality be ensured throughout the data management process?
How should data be stored and secured to ensure confidentiality and prevent unauthorized access?
How should data be cleaned, coded, and transformed to make it usable for analysis?
How should missing data be handled, and how should outliers and inconsistencies be identified and addressed?
How should data be reported, visualized, and disseminated to stakeholders, and what are the most effective ways to communicate data findings?
How should data be archived and made accessible for future use?
How should data management protocols be documented and updated over time?

Is questionnaire method not part of data collection?

Very interesting and highly relevant

Very interesting and highly relevant

data management questions is very important for your project you have to know what is your dat? how you will collect? who will collect etc....

you should also maintain data management steps like
1: data collection
2: data entry
3: data analyze and
4: data use

You can compare a well-functioning data management process to a conveyer belt in a factory. The first part of the conveyer belt brings raw materials into the factory: wood or metal, for example. As the conveyer belt continues through the factory, the raw wood and metal parts are sorted, shaped, assembled and eventually transformed into useful products: chairs, cars or bottles, for example.

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.

In this course, we have talked a lot about the first step: collecting data. But what about all of the other steps in the data management process? Let’s explore the entire data management process

The questions need to be clear to understand

The modules is much on raising possible questions to feed on project indicator

The reliability of data in key , but this come from reliable questions

this was really helpful. as an rganization in a consortium working on a project, i was wondering how the m&e data flow map will look like. this answered my question

thanks for sharing this

As it has been pointed out in the video data represent human beings, and as such it needs to be handled well for better result in the future which also affect key decision making that affect lives and community at large. i believe data science is a very broad aspect but i am glad for the knowledge i got in the module 5.

Data management is the practice of ingesting, processing, securing and storing an organization’s data, where it is then utilized for strategic decision-making.

well understood

who is responsible for field survey data collection.

Survey data can be collected by a variety of individuals or organizations, depending on the purpose and scope of the survey.
e.g, Government agencies: Government agencies at the local, state, and federal levels often conduct surveys to collect data on a variety of topics, such as health, education, and employment.

Data management is the process of collecting, organizing, storing, and maintaining data in a secure and efficient way in order to make it available for various applications and users. It involves the use of database systems, data mining techniques, data warehousing, and other methods to store, access, and analyze data.

with the knowledge on data collection from module 4, module 5 turns out very easy to understand.

more like Data is like the blood of M&E.

Data management steps are all important and they symbolize the need to have a good beginning which is data collection in order to have a fruitful end which is data use.

The data management questions help the project implementer be informed of the tools that needs to be accomplished in order to collect sufficient data. It provides the roles and responsibilities of each f the actors in the project as well as the uses of the data to be collected

4 ANALYSE DE SITUATION DE LA GESTION DES DONNEES DU PEV
Au sein de la coordination nationale du PEV, il y a une section chargée du Suivi-Evaluation et recherches. Son rôle est d’appuyer le SSIS dans la collecte, l’analyse et le traitement des données de la vaccination. Les récentes évaluations ont montré que le système de gestion des données de vaccination en Guinée est confronté à d’énormes difficultés.Le dispositif de gestion des données fonctionne avec des ressources matérielles et financières limitées au niveau central pour répondre à la demande d’informations de qualité à temps opportun pour orienter les décideurs. En plus de la faible promptitude, on note des insuffisances de la qualité des rapports, comme par exemple les incohérences entre les données rapportées et les intrants utilisés, mais aussi entre les données rapportées et celles recomptées lors des évaluations. L’évaluation de la gestion et de la qualité des données réalisée en 2014 par l’AMP a ressorti la non-satisfaction des partenaires techniques et financiers en termes de disponibilité et de qualité des informations de la vaccination. Au niveau déconcentré, le dispositif de gestion des données de vaccination s’appuie sur les ressources humaines disponibles et les bases de données existantes. A ce niveau, la collecte et la transmission des données se déroulent plus ou moins bien avec une vérification de la qualité quasi systématique durant les supervisons. Néanmoins, des faiblesses existent dans le traitement, l’analyse et l’utilisation des données. Rappelons également que même si elles existent au niveau décentralisé, les ressources humaines en charge de la gestion des données restent insuffisantes et peu qualifiées. D’autres aspects non moins importants dans la gestion des données sont la rétroinformation et le partage de connaissances. Cesderniers restent peu performants par le fait que les bulletins périodiques sont peu produits et les plateformes d’échanges de meilleures pratiques en matière de gestion de données inexistantes. La mise en œuvre d’unensemble de stratégies et d’activités visant à renforcer le dispositif global de gestiondes données au niveau central et l’utilisation de l’information et aussi d’unrenforcement des capacités des différents acteurs s’avère nécessaire.

Am really learning a lot of new ideas.

The process is very useful. It helps you see the process and visualize how you will achieve your objectives.

its the process of collecting, analyzing, storing data

i agree with that

M&E is all about data management they you have managed your data it towards the success.

it is essential to give roles to our staff. without giving roles and responsibilities, we should not get data for our monitoring. meanwhile, a data flow map is a crucial aspect of data management.

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?

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?

Lesson lent is that data factory has several steps and this step are necessary on data management from data collection, data entry and collation,data analysis, verification and storage and final step being data use. this step will may have other minor additions however this curries the huge part.

What is a reliable Data Management System that can be recommended for work in the field of Human Services?

Data Management Officer Interview Questions & Answers
Can you explain what data management is and why it is important?
Data management is the overall process of collecting, storing, organizing, maintaining, and using data effectively. It is important because it helps ensure that data is accurate, consistent, and secure, and is used in a way that aligns with the organization’s goals and objectives.

How do you ensure data quality in a data management program?
To ensure data quality in a data management program, I implement data validation and reconciliation processes, as well as data standardization and harmonization processes. I also implement proper monitoring and reporting mechanisms, and perform regular data quality assessments to identify and remediate potential issues. I also engage
Can you explain how you would develop and implement a data management strategy?
To develop and implement a data management strategy, I would start by understanding the organization’s goals and objectives, as well as its data requirements. I would then conduct a thorough assessment of the organization’s current data management processes and systems, and identify areas for improvement. Based on this assessment, I would develop a data management strategy that aligns with the organization’s goals and objectives, and includes a roadmap for implementation. I would then work with stakeholders to implement the strategy, including the necessary processes and systems, and regularly review and update the strategy to ensure it remains effective.

How do you handle data breaches in a data management program?
To handle data breaches in a data management program, I have a well-defined data breach response plan in place. This plan includes steps for identifying and containing the breach, as well as notifying affected parties and conducting a thorough investigation to determine the root cause of the breach. I also implement remediation steps to prevent similar breaches from happening in the future, and regularly review and update the data breach response plan to ensure it remains effective.

Can you explain how you would manage data privacy and security in a data management program?
To manage data privacy and security in a data management program, I implement data protection policies and processes that comply with relevant privacy laws and regulations. I also ensure that sensitive data is properly secured, both in storage and in transit, and that proper access controls are in place. I also implement proper monitoring and reporting mechanisms to ensure that data privacy and security risks are identified and addressed in a timely manner. I engage with stakeholders to understand their data privacy and security requirements, and work with them to ensure that these requirements are met.

In data Management plam.there is
the team lead-project lead
project staff
peer educators