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The following are some of the questions one need to ask whenever she or she is managing data;
what type of data to be collected?
who is going to collect data?
who is going to do data entry and collation?
who is going to do data analysis and verification?
What is the the use of the data?
having a goog understand of the roles and responsabilities that every member participants on the project will play, this understanding helps to improve the progress properly. as every one knows its role to play in order to reach the achievements or to get the findings
This is a very engaging and interesting topic! Data flow makes it easy for me, the team and all relevant stakeholders visualize the complex process and journey of the project.
Data management refers to the process from data collection to data use. It includes data collection, entry and verification, cleaning and use. It also specifies the roles and responsibilities of all the players in the data process. The need to keep the donors and the benefiting communities abreast of happenings in the project is performed by the data management process.
I don't get this clearly.
If it means if I have any questions with respect to data management, the answer is no.
If otherwise, kindly let me know what is expected of me at this point.
People with the powers to effect change either in budget or extend the timeline of a project are known as the project governance. There are many forms of project governance. A large organization with many stakeholders may create a project governance board: a group of leaders and stakeholders who make big decisions together. Smaller organizations may assign a single person to govern a project—often a director or other leader.
Data management is very important because it can help us use the right data for our projects. Data management includes data collection, data entry and collation, data analysis and data use. This process are quite complex therefore it needs tight control and supervision.
Data management is all about the security of data inclusive of data collection, data entry and collation, data analysis and verification and data use
I don't really have any questions or discussion points!
Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users
good information very helpful
Data management is a fundamental part of the M&E planning process. It shows how roles, tools, and processes interact to provide quality data for decision-making at nany levels.
Is data management enough for decision making ?
The data flow map that you have created should have helped you to visualize your project’s data management process.
data management involves assigning roles and responsibilities to the M&E team members for effective data management
Also the use of data for decision making
Data management process involves 4 stages which start with collection, then entry, analysis, archiving and usage. It requires good planning in order to allocate roles and responsibility properly. Within this process some stages requires expert individuals like the one of analysis. Good data management will likely lead to good decision making.
Data management is cool
Note the steps
Entry
Analysis
Storage
Verification
And use
Couldn't agree more
Data flow charts are a creative way to map it out
A "data question" is something you ask for smart data and that it is expected to be answered by a table of data. In practice a data question is described by a plain English sentence and a set of expected answer fields: "Zip codes for all Italian administrative areas" (municipality, zip, areacode")
Data management is important because the data your organization creates is a very valuable resource. The last thing you want to do is spend time and resources collecting data and business intelligence, only to lose or misplace that information.
A "data question" is something you ask for smart data and that it is expected to be answered by a table of data. In practice a data question is described by a plain English sentence and a set of expected answer fields: "Zip codes for all Italian administrative areas" (municipality, zip, areacode")
Data management is important because the data your organization creates is a very valuable resource. The last thing you want to do is spend time and resources collecting data and business intelligence, only to lose or misplace that information.
Data Flow Maps are very helpful tools for M&E planning.:
@nancy_marangu said in ICTs and projects:
How best can ICTs be used to monitor progress in projects?
its the best so far in terms of project planning, monitoring and evaluation. if you have ICT knowledge, just know that you will effectively accomplish your project goals
What are the roles of a data management manager?
The manager creates and enforces policies for effective data management.
Formulates management techniques for quality data collection to make sure that there is adequacy, accuracy and legitimacy of data collected.
OK I WILL DO IT
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What are the roles of a data management manager?
The manager creates and enforces policies for effective data management.
Formulates management techniques for quality data collection to make sure that there is adequacy, accuracy and legitimacy of data collected.
Just one doubt, when we talk about data usage we have: Donors, Government, the organization, beneficiaries and the project manager. Would you like to know where civil society is framed? can't we list it in the data usage group?
Data Management techniques are important aspect of Monitoring as well as Evaluation.
The data management process begins with the introduction of raw materials: data collected from the project. As the data passes through the rest of the process, it will be organized, stored, analyzed, and finally transformed into useful products, such as reports and decision-making.
Data generally go through these steps:
Data collection - When collecting data we can use a variety of data collection methods and tools.
Data input and collection - After collecting the data, enter them into the data system. This is usually the time to organize the data. There is a process of grouping similar data together is called collation. Organizing will make data analysis easier.
Data analysis, verification and storage - Once the data enters the data system, it can be analyzed, verified, and stored. Data needs to be stored throughout the project. After the project is completed, some of the data will be stored for future use or called archiving.
Data usage - In the end, the data was utilized to a certain extent. Some commonly used methods of data include: create report, communicate results to the community, make project management decisions, help design future projects, etc.
For me this project has taught me that it is important for every members of the team to understand their role and know the whole they are going to play.
It is also important that monitoring and evaluation plan is made known to all the member of the of the team so that they will know the type of data they're collecting they will know how to respect the data process and of course how to treat the whole process very diligently
In fact for me data collection and data management is actually the king when it comes to monitoring and evaluation of development projects
very informative part of this module.
getting right information is one issue but also put it in the handle of right people for use is also another issue
We learn how to collect date and analysis
I need a certificate from this certification to pass my course
I need a certificate from this certification to pass my course
This aspect of the M&E lays bare the whole reporting structure of the project which looks like the organisational structure . Once this mapping is final, roles and responsibilities can easily be ascertained, questions if any, can then be directed to the right place!
la gestion des données L'horloge 5 minutes
a gestion des données
What is the data ?
stion des donnée
Data Management is easy once what is being collected and who need the information is identified. The roles and actions can easily be taken. I think that is it good to have a compact flow with only essential roles rather than putting in a lot of roles that will make it complicated.
Roles and responsibilities of all stakeholders in the project has to be well highlighted to avoid omission or overlapping functions
For the efficient data management, monitoring roles and responsibilities of different level staff should be clearly identified. Properly data collection, entry, analysis and presentation should be ensured for visualizing progress.
For the efficient data management, monitoring roles and responsibilities of different level staff should be clearly indentified. Properly data collection, entry, analysis and presentation should be ensured for visualizing progress.
HOW CAN WE KEEP THE DATA SAFE?
Who is responsible for collecting data?
The data management questions are questions provides answers on your data.
this questions include the following
how to collect the data?
who to use the data?
where the data to be archived?
how to verify the data?
who is to verify the data?
where to send the data?
what if the organization have not data system how will report been written
I have learnt a lot from this topic, especially on part of data flow map that make clear on roles and responsibilities.
I have learnt a lot from this topic, especially on part of data flow map that make clear on roles and responsibilities.
What software can help one analyze data from focus groups?
What software can help one analyze data from focus groups?
Data management is all the process of collecting, storing, organizing, accessing, analyzing and using data. This process is the core of a project it links the beneficiary to the donors through a chain involving the field workers , the project manager, director, and the government. Data has to reach to all this people and it must be confidential and kept well.
To analyze data accurately, it is essential to collect data from proper way and prepare the data collection tool like Participant Tracking Form and prepare the
Data Flow Map from bottom to top
and assign the Roles and Responsibilities
my point on this issue of data management , it is better to assign responsibilities to every staff and it is better to continue training so that they can understand well , the tools they are using in data collection, also in data entry it is better to have a database so that you can store your data in a safe way.
I think I need more details about data management building
Interesting manner!
what are the core steps in data management
Data management process consists of steps that involve collecting, analysing, storing, and using data.
Each of these processes are assigned to different people in the data flow chart.
Data management calls for preciseness, confidentiality and timeliness while handling.
Data management calls for preciseness, confidentiality and timeliness while handling.
Thrc gc fc gf fhh
refers to effective management of data bases.
yes, true that.
data management refers to effectively managing the data of the organization and using it
yes, true that
I enjoyed the module and do not have questions.
It is important tho to have data management questions because these will guide you on how to make the data flow map.
These questions will also help you know the roles and responsibilities of everyone in the organization .
They will also help you know who to send what kind of data and when the data should be sent.
Data management is very helpful tool in as far as monitoring and evaluation is concerned since it makes data to be meaningful as well as respected since it reprent human beings
Who will:
a. Collect data?
b. Enter and collate data?
c. Check data quality?
d. Analyze the data?
e. Store data?
f. Create reports?
g. Send reports?
h. Make decisions based on the data?
Indeed, data management requires special skills and is critical to decision making in project development.
This is because inability to organize, analyze and interpret the data to deliver the desired result and present the report to key stakeholders can mar the whole process and render all efforts useless at the end.
How can data be used in future Projects?
There are many different ways that teams assign M&E roles and responsibilities. Perhaps your team has an M&E advisor who will be overseeing all M&E operations. Or, perhaps your team is planning on hiring an expert for evaluations but will spread out the rest of M&E responsibilities among multiple staff. Or, you might have no M&E team at all and plan on distributing responsibilities to everyone.
Each of these arrangements can work. The way that you assign M&E roles and responsibilities will depend on your organization’s hiring preferences, on your team’s resources and on the particular needs of your project.
So, the goal of this module is not to teach you everything that you could possibly learn about staffing for M&E needs nor to recommend particular staffing arrangements. Instead, the goal of this module is to give you a few practical tools that you can use to explore this topic for yourself.
the participant and the staff should know their responsibilities
What are data are going to be used
What are the impact of data management
What are a data management are going to be practiced in the organization
What are the data management system is going to be done in the organization
What are data are going to be used
What are the impact of data management
What are a data management are going to be practiced in the organisation
What are the data management system is going to be done in the organisation
How do you manage bulky data without loosing part of it?
What are the availlable software to help in the data analysis phase?
What are the negative impacts of poor data management in a project?
I have seen some organizations doing a survey through SMS on mobile phones. How can that affect data management in as far as data quality is concerned?
Sometimes you find that participants are reluctant to provide some essential data. Is it on to handle them with some hand outs?
A Data Flow Map certainly makes it clear how an organisation should manage their data. It also makes clear the roles and responsibilities that staff should take.
Data management questions seek to find out the logical flow of field information/data up to the director and Donor, identifying the roles and responsibilities to report at each level while protecting the confidentiality of the data, protected and stored correctly. This verify the completeness and accuracy of data being collected.
Fine solutions to the data management questions will serve precise analysis of data to take decisions to track any error and drive the project in the right path.
All the direct stakeholders such as, the community, the beneficiaries, the management, the donners will get correct timely information for making decisions and plan ahead.
The project team who is responsible to collect data at each level should be trained properly/ skilled properly.
The decision makers also must be capacitate at each level to take timely and appropriate actions using the analyzed information.
Or else there will be no use in the whole data management process other than pleasing the donners and higher authorities.
Data management in a project involves collecting, storing, organizing, accessing, analyzing and using data. This will allow the project team to engage with a very intricate system spanning across lots of people, some of whom are recruited exclusively for data collection and analysis. It is critical that the role for each person on the project’s data collection team (and beyond) is described and documented in its finest detail. This will allow a relatively smooth running of the data collection phase without any confusions or conflicts. A few questions that I have about the project data management process:
(1) How could data privacy issues be addressed (especially with digital data and media)?
(2) Who ‘owns’ the data?
(3) Is it advised to get a statement/consent from the participants that their data could be used in varied venues?
Data handling is also essential in data management as vital data can get lost if not handled properly.
Data management questions should be relevant. The questions on how the data will be managed properly is dependent on how it is being utilized and reported. Data management must be a practice of all to avoid stress in the team.
i am looking forward to understand data management to iMprove my M&E SKILLS
Data Management might be hard to understand and to use. What kind of useful data tools do you use for project evaluation?
Data Management might be hard to understand and to use. What kind of useful data tools do you use for project evaluation?
Data Flow Map is key to a successful M&E. I think it makes it more organized and clearly defines who is responsible what role. Perhaps for flexibility sake the Data Flow Map should not be so rigid, to be more accommodating for scenarios where managers or officers have to make quick decisions as circurmstances may necessitate.
Data management questions should be relevant. The questions on how the data will be managed properly is dependent on how it is being utilized and reported. Data management must be a practice of all to avoid stress in the team.
DATA MANAGEMENT. This process include, 1 data entry 2. analysis, 3. storage, 4 verification, and use. They are often referred to collectively as data management, while each organization will have its own process for managing data, most data generally go through these step.
AS AN NGO, IS IT COMPULSORY. WE MUST GIVE REPORT THE GOVERNMENT. MOSTN ESPECIALLY WHEN YOU ARE DEALING ANY INTERNATIONAL OR PRIVATE DONOR?
I have learn a lot from this course