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Data management spans through how data is collected, analyzed, reported and preserved for future use. Data flow map makes data management easy since it creates a visual plan
Management of data must be a very carefull process, the data must be storered propaly in the data base.
Data collection
Data entry and collation
Data analysis
Data management is a very complex process in projects, utmost attention is needed when choosing roles and responsibilities to avoid conflict of roles.
Module 5 is the summary of the entire process in a nutshell.
Data Management is the heart and soul of any project.
Assigning roles and responsibilities make for easy flow of data. It eases the process of Monitoring and evaluation
This module helped me on how to manage collected data
Different questions are asked on each stage. These include :
Step 1: Data collection
Who will be responsible for data collection?
Who will be responsible for data quality?
Step 2: Data entry and collation
Who will enter data?
Who will collate data?
Where will data be entered?
Step 3: Data analysis, verification and storage
Who will analyze data?
Who will verify data and how often?
Who will decide what data gets archived and who will archive them?
Step 4: Use
Who will prepare the reports?
Who will send reports?
Who will use data to make project decisions?
These are really important questions to consider
How is app based data collection changing these roles and processes?
Data management questions aids in development of a good Data management process of our programs
This data management remains the pillar in the project management because its major determinant of the journey for the project. It gives the best direction to avoid being off target but on point.
Data management is the practice of collecting, organizing, protecting, and storing an organization's data so it can be analyzed for business decisions. As organizations create and consume data at unprecedented rates, data management solutions become essential for making sense of the vast quantities of data.
Common data types include:
Integer.
Floating-point number.
Character.
String.
Boolean.
The work of data management has a wide scope, covering factors such as how to:
Create, access, and update data across a diverse data tier
Store data across multiple clouds and on premises
Provide high availability and disaster recovery
Use data in a growing variety of apps, analytics, and algorithms
Ensure data privacy and security
Archive and destroy data in accordance with retention schedules and compliance requirements
I would like to learn more about this topic
Accuracy and undertanding of the real meanning of each data use
Right and also to be ready for the final evaluation
Produce a good data feedback circuit
Manuscrit reviews
Very usefull about data management
how do we consider data biases from field officers
I think we can use some data for long period of time as reference and to know the trends. However, as situation changes everything gets changed and old data can not be used as to forecast current situation. Just my opinion.
How can i create a team to collect the data? I want to talk about the academic background of the people
Data Management is important because it leads to the final product of data collected and analyzed, and ensures that data collected serves it intended purpose of improving/enhancing the organization's work and activities.
Is it recommended to have a special team handle data management? Is it good enough for the Project Manager, M&E Team of the organization to manage data?
Data management is the process of collecting,storing,organizing,accessing analyzing and using data.
Data management is the process of collecting,storing,organizing,accessing analyzing and using data.
Questions to put into considerable.
1.What exactly do you want to find out.
2.Where will data come from.
3.How can you ensure data quality and security.
4.what analysis techniques will be used.
Data management questions must specify the tools, and roles and responsibilities of team members in the data management process from data collection, to collation and entry, use, analysis, and reporting.
I think that this is a very relevant point to the success of projects.
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.
Hi, this is right!
Hello kaymee, your response was helpful
Hello! Great insight !
Data Management Process is of six steps and has to result extraordinarily while in use.
Data flow mapping seems to Be an exciting task. Having it well done and in place can support in quality data management.
Is it possible for one team member to occupy more than one role position in the data management chart? If it is possible, would this affect data quality?
What if at the end of a programme cycle, results of the data management process does not achieve the desired impact, does it mean that indicators were not well chosen or data were not rightly collected, collated, analyzed and managed?
A database management system (DBMS) is a software package designed to define, manipulate, retrieve and manage data in a database. A DBMS generally manipulates the data itself, the data format, field names, record structure and file structure. It also defines rules to validate and manipulate this data.
The DBMS manages incoming data, organizes it, and provides ways for the data to be modified or extracted by users or other programs. Some DBMS examples include MySQL, PostgreSQL, Microsoft Access, SQL Server, FileMaker, Oracle, RDBMS, dBase, Clipper, and FoxPro.
What are the types of data management?
Image result for data management system
4 types of data management systems
Customer Relationship Management System or CRM. ...
Marketing technology systems. ...
Data Warehouse systems. ...
Analytics tools.
Some of the important data management questions has to do with who will
data management is a complex necessity of data process. It is a process that must be undertaken to help make decisions
The data management is the process of collecting data through survay, interview, Primary and Secondary data collection.
Data Management is the backbone of the project and monitoring and evolution process. By the help of data management the Director will be able to report to the donors and Government offices about the project process and success.
What are the best ways to write report after reviewing the data?
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.