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What should be kept in mind when drafting report?
What happens if there is no Data Management Processes?
In this module, I have discovered that Data flow mapping should usually be the first step that an organization must take before they start the process.
In this module, I have discovered that Data flow mapping should usually be the first step that an organization must take before they start the process.
@SammyPT said in Module 5 Discussion: Data Management Questions:
Data management proves effective when each and every member of the project team understand what they need to do,when they need to do it and how they will do it at all times
This is very true..
Precisely.. And it acts as a road map.. You exactly where you are going and what you are doing
The project will be distorted. Because we rely on the same data to see if there is an impact
The recipients. Make sure the report should mean something to a lay man.
You can use jargons if the report is going to be used by the same organization or field. :)
Data management is the best to have clear picture of roles and responsibility of the project.
Data management processes include data entry, analysis, storage, verification, and use. Data flaw map will help to have a clear picture of the role and responsibility in data management process.
In order to have a clear roles and responsibilities in data management following questions at different stages need to be asked.
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?
Who will enter data?
Who will collate data?
Where will data be entered?
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?
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?
the study help us to create our own plan in a better way
the data management may involve many people depending on your plan
all can be answered if you prepare a well M & E plan
Data management its a process of collecting acquiring validating and archiving protecting and processing that required data to ensure the accessibility, reliability, and timeliness of the data for its users.
Data management and processing helps in preparing reports to be send to donors
this is very informative. Thank you
Data flow Map is necessary in M&E
Data flow maps are very useful tools for M&E planning. They show how data is collected, managed and used. A real data flow map is complex. However, we can create a quick version of a data flow map using just a few pieces of paper.
It has been an educative modules lifting some of the ambiguity I experienced in the past.
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.
the role and responsibilities on data collection should be clear in order to manage all information in possession.
Data management is a set of practices for handling data collected or created by a company so that it can be used to make informed business decisions.
I have understood that in data use, data are reviewed to inform a recommendation for action in strategic planning, policymaking, program planning and management, advocacy, or delivering services.
I would like to inquire about something important. What happens when there are conflicting roles and responsibilities in a project? What can be done in such instances?
I would like to inquire about something important. What happens when there are conflicting roles and responsibilities in a project? What can be done in such instances?
I would like to inquire about something important. What happens when there are conflicting roles and responsibilities in a project? What can be done in such instances?
For data management, I need to ask, how I am going to collect data, who will collect the data, who will provide the data,
How many people can be part of the M&E team?
Data flow It really helps to reduce the responsibilities of the individual only at the institutional level, something I have learned helps to bring professionalism and provide better work especially for information that has a long chain eg those that need to reach external stakeholders
this is so helpful
this is so helpful
The Data management process, I have learnt, is a team work process a tree that once a data is miscommunicated at the grass root we end up with wrong information and report hence we need alot of keenness
Data management is very interesting and easy to learn, I believe this platform is detailed
Data management is very interesting and easy to learn, I believe this platform is detailed
Data management is very interesting and easy to learn, I believe this platform is detailed
@Abbyo87 said in Module 5 Discussion: Data Management Questions:
Data management questions may include data management processes: data collection, data entry and collation, data analysis, verification and storage and data uses and creating a data flow map.
These questions may include ?
What data collection tools are you using ?
What are your data uses ?
What are the responsibilities involved?
Who are those that will carry on this responsibilities and what are the roles?These are critical questions that are pertinent to a successful data management process.
This is right
Planning for Monitoring and Evaluation data tourism from year and year
Planning for Monitoring and Evaluation data tourism from year and year
Data management starts from participant identification to report production. It is a process of collecting, screening, analyzing, and presenting tasks.
It would be interesting to learn more on the data analysis aspect of this moudule
I am very happy to learn more about how to implement the "Data management process" and it is for me very important for my career
While their could be many ways of data management. The following 4 steps could be very useful to consider
STEP 1: DATA COLLECTION
STEP 2: DATA ENTRY AND COLLATION
STEP 3: DATA ANALYSIS, VERIFICATION, AND STORAGE
OSTEP 4: DATA USE
**** key data management questions to ask****
I learnt a lot of knowledge on this module and so very thanks to you.
Thanks for this Module, it is very helpful and provides more insights on data Managements, which allow projects staffs to shared specific roles and responsibilities in data collection, analysis and reporting
Thanks for this Module, it is very helpful and provides more insights on data Managements, which allow projects staffs to shared specific roles and responsibilities in data collection, analysis and reporting
The data management is the process of collecting data through survay, interview, Primary and Secondary data collection. It is further about storing the data
Data management happens to be way more comprehensive than I previously thought it to be. As well as way more structured in its approach. I feel this will make me more responsible with data planning and its management as well. No longer giving it a cusory look and assuming analysis is all there is and writing the report.
You have summed it up well Habib, "Data Management is the backbone of the project and monitoring and evaluation process" indeed. I appreciate why just having an M&E process is not enough if the data management is not thoughtfully planned and executed to boot.
The module is indeed insightful. Never expected to pick up much here considering am familiar with data and its management. Or so I thought. I have been humbled and equally schooled that there is a lot more out there than what I imagined.
Yea, it all starts from the very begining, its a whole process. I never considered the participants list to be part of data management. It was a whole suprise that things we gave cusory attention actually do count the most. Poorly managed from the start, data gathered or collated later would give unrealistic results. I have a new respect for the whole process.
Amazingly simple things to do adding professionalism to our work and hightening the credibility of the outcomes as well. Tops it up with accountability that comes from the responsibility chain of data flow. Every one knows where they stand and makes for better communication down and up the chain. It is amzing indeed what this module has unveiled and there is more to come when all's put together.
Thanks you PHILANTHROPY UNIVERSITY ...
Most data management questions are answered in the management process .Data entry ,data analysis ,data storage ,verification and use .
What are the challenges an organization is likely to face while managing data?
Could the data management process have less than four steps?
This is a particularly helpful section since it forces the project manager to think ahead and plan the work for M&E. In my experience, most effort is aimed at implementing the project, leaving the data collection and analysis to a later reporting stage. By that time, a number of problems in the design of the indicators may become apparent but cannot be changed if the donors do not agree. A further problem, not discussed in this course, is that donors and implementing organizations may have differing definitions of outputs, outcomes and impacts, which can lead to serious arguments over the actual results. The frequency of data collection is also important to agree upon at the outset. I have seen projects where the project staff spend so much time collecting, analyzing and reporting data to donors, that they are unable to properly manage the implementation of a project. A data collection flow chart as suggested here can facilitate agreement on project responsibilities at the outset, avoiding problems further down the road.
This sounds like poor management. Complaints over management need to reach the top leadership, or at least staff representatives. Many managers, particularly those appointed for political reasons, cannot manage. Courses on management and certification should be required, especially for external hires of people who have never done the job before.
data management requires a set structure to approach
Defining roles and responsibilities is very important to implement a good data management process.
Yes, that's right!
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.
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.
Data flow map helps to visualize your project data management processes. From data collection tools to data use, many roles and responsibilities may occur. Therefore, a well created data flow map clearly describes how data will be collected, who is responsible and their use.
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.
Data management its a process of collecting acquiring validating and archiving protecting and processing that required data to ensure the accessibility, reliability, and timeliness of the data for its users.
why is data management so important
Data management is also important for reporting
Great to learn data flow
Data is a set of or collection of names, numbers, figures, that convey some information. It can be about anything. A data is made based on observations, research or analysis. We can record and organize data in different forms such as tables, charts, pictures, graphs,
la gestion des données est une etape importante sur le système de suivi evaluation
la gestion des données est une etape importante sur le système de suivi evaluation
Data management Questions:
Data management refers to all processes for collecting, storing, organizing, accessing, analyzing and using data.
Hence data management questions are derived from the above definition.
Data collection:
Data management questions are important to ask because it helps n organization come up with a structure on how data will be collected and managed at every level. It also indicates the roles and responsibilities that parties will play in the data management process. Makes it efficient.
Can one person do all the roles?
I think it depends on an organization.
I guess there are data flow map templates out there for quick download and use, but it's such a fulfilling feeling to be able to draft the map by oneself! The challenge still lies in adequately identifying and completely capturing thevarious roles and duties of those involved in a project though.
I think it's the job of the project manager, vested with interpersonal skills, to resolve conflicts in teams. It's his/her role to clearly define the roles and responsibilities, and assign them appropriately to the team members, being guided by each member's skills and competency.
which are the best data storage softwares?
which are the best data storage softwares?
Without proper data management and tools used to monitor collect and evaluate data will be not respected enough.
A database management system is a software package designed to define, manipulate, retrieve and manage data in a database. and some examples include MySQL, microsoft SQL sever FileMaker pro, oracle database and dBASE
Data increasingly is seen as a corporate asset that can be used to make more-informed business decisions, improve marketing campaigns, optimize business operations and reduce costs, all with the goal of increasing revenue and profits. But a lack of proper data management can saddle organizations with incompatible data silos, inconsistent data sets and data quality problems that limit their ability to run business intelligence (BI) and analytics applications -- or, worse, lead to faulty findings.
Data management has also grown in importance as businesses are subjected to an increasing number of regulatory compliance requirements, including data privacy and protection laws such as GDPR and the California Consumer Privacy Act. In addition, companies are capturing ever-larger volumes of data and a wider variety of data types, both hallmarks of the big data systems many have deployed. Without good data management, such environments can become unwieldy and hard to navigate.
What is the relationship between data management processes and an M&E plan?
La gestion des données est important pour la prise de décision ,d'évaluation et le suivi de l'atteinte des indicateurs du projet.
Data management questions tend to answer the questions of how data are collected, what data are collected , who collect them and how they are used as well as the processes they undergo moving from one stage to the other in the data flow map and as well as the roles and responsibilities assigned to individuals handling them at every stage to ensure that relevant information desired are what are obtained in the life cycle of a project to ensure adequate and effective M&E that will lead to effective project execution.
Beyond reporting to donors, at what point is the data used?
How different is data flow plan of dissemination plan?
I would like to have answers to your questions too.
what are the systems that are used to code data?
its immportant to capture data well and carefully to avoid being biased
Data management question ? Who and who will be able to do a great job
we collect all data from community and school and if we not store and manage it probably it was vanish. manage the data is a process to store it for the future plan use for any other project by do some changes.use right tool to manage data safly.
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?
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?
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?
This has been a nice module too. Data flow map saves way a lot because you know how data will be collected and by whom. Who will be involved in the entire process of data management.
This maybe a little tricky. Unless when your project is working on data which is already collected and want to make decision on that existing data. I believe to some projects the steps may even exceed the four we have herein.
Data Management processes are the heartbeat of a project and often times this department is underrated by Senior Management and the Board.
The processes have detailed components like Data security and Data Analysis that could be related to IT or particular staff with the skills sets to execute those responsibilities ( Statisticians).
The module explained more and very help in data management which the greatest challenges I have face in my working field, in most cases everybody require information from you but this module help a lot to gain knowledge on how to best manage data that can be effective for the safety of the program and the beneficiaries.
May you add more coverage of modules in near future.
To help in evaluating prospective data management, we can also include four (4) more questions;
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?
Creating data flow map is not an easy task. Right? Particularly identifying who will do each task. I have come to learn that it is significantly important to understand each step of data management processes.
This is quite right. politician will always find a way to interfere with good projects.
Data management process is a rigorous process yet so important. This process should be given the attention it deserves.