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I think it important one pay more than the usual attention to data collection tools. Learn how to create these tools and know how to use them to collect data effectively as an M&E experts
Anyone one who needs my input in creating a logframe is free to reply or this post
Putting data into various usable formats for various stakeholders is very crucial as it positions them to make decisions, adjustments to the project objectives as well as measure progress and success. What are some of the most common formats?
Data is representative of human being hence, treat data with respect
This was the best topic
What is the best way to store data.
I honestly didn't know who to assign what roles to as we do not have a lot of staff yet
how will data be collected?
what will the date be used for?
who will collect the data?
who will analyze, verify and store the data?
what type of data will be archived?
how will data be collected?
what will the date be used for?
who will collect the data?
who will analyze, verify and store the data?
what type of data will be archived?
Please, when we have data flow map is it possible to indicate how often an activity eg reporting will take place on the data flow map?map
Data management is the practice of managing the data by different processes such as storing, maintaining, protecting, organizing, and processing the data retrieved by an organization from various sources safely and securely with utmost efficiency.
The main aim of data management is to reduce the risks for the organization related to data processing and provide accurate data to Donors, Government institution, Directors, M & E Managers and organization. Data management helps in better optimization of data and in turn, helps make better organizational-related decisions keeping in mind the rules, regulations, and policies of the Organization.
organization that does not understand the importance of data management are less likely to make annually reports for donors and partners.
Amazing journey
You need to ask yourself
How does one do the quality checks?
Data management is an important component of M&E Plan. Particularly, the data flow map outline graphically how M&E data will flow from its source up to consumers. It therefore create of condition of data accountability as each actor along the data flow chain is known.
Data management is also crucial for organizational learning and for adaptive management. Through data management and use organization can access historical and present level of performance and accordingly decide on the best course of action.
How if we have limited staff to do data management for Monitoring and evaluation?
Data management (or data management) consists of collecting, ingesting, storing, organizing and keeping up to date a company's data.
You are absolutely right, it is a very interesting course especially for those who intervene in the field of information management.
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. ...
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?
It has a significance role and boost my knowledge how to manage data step by step. Very informative.
Data management is the most important aspect of M&E as such careful planning and execution of data management process is vital. Firstly, there is need to have a vibrant monitoring and evaluation team to ensure effectiveness of the project. Secondly, the roles and responsibilities of the team should be well defined so that everybody should know what they are supposed to do.
In the module Data flow map, I have understood how data flows and also each and everyone's roles in an organization
Let's dive into these seven best practices.
Outline your business goals. ... Prioritize data protection and security. ... Focus on data quality. ... Reduce duplicate data. ... Ensure your data is readily accessible to your team. ... Create a data recovery strategy. ... Use a quality data management software.
This has been a great module on how to manage data. At first it looked complex but after breaking it down, it becomes easier.
Amazing module, looked complicated at first, but the step by step breakdown really helped.
Who benefits from your program's impact?
Which outcomes do your impact recipients experience?
Who can confirm whether the outcomes have been achieved?
Data management is a core stone of on project
The graphics of the data flow map is enchanting. It's self explanatory
It's easy but requires critical thinking.
Having assigned roles ensures that every one understands their responsibilities and no two people do the same things. this then reduces duplication. it also helps ensure accountability of the various processes that should happen
it is quite the process!!
that then becomes the purpose of doing an evaluation. to answer the very questions you ask. and whether the project has answered the questions it sought to answer
I have appreciated the role of a data flow map in this module, it is something I had not used before nor seen in the project planning process.
When every role in the data management process is assigned a responsible person, it is easy to even monitor the safety of the data. I will ensure to introduce the data flow map to my project and help team mates appreciate it.
Yes it does away with duplication of roles and ensures accountability of the data by all.
Mastery of monitoring and evaluation greatly influence the quality of the data management process used in a project
Who will typically be the custodian of the data flow map in an organization?
Survey is commonly use because of its ability to collect both qualitative and quantitative from a large group
Beneficiaries ofcourse and donors who may decide to pump more resources or duplicate the program in other areas with similar problems
Data management is a process which involve data collection raw data and bringing it to be managed. Then data entry is required and then data is stored then analyzed then data is transformed into using information in a report.
Does the data need to be protected?
Data management includes the ways and paths to manage and prepare data collection.
collecting , and analyzing of your organization helps minimize potential errors in very important decisions of your organization
data management is a process that includes data collection, data entry and collation, data analysis data verification and storage and lastly data use
data managed includes many questions these include:
The necessary data management questions considered as follows:
Create a data management strategy.
Define roles in the data management system.
Control data throughout its life cycle.
Ensure data quality.
Collect and analyze metadata.
Maximize the use of data
The data flow map is very useful to visualize how data will be colleccted, using what tools, who will analyze and archive the data, who will write down reports using the data, and who willl review the reports and further share the reports to donors, government and communities
The marketing environment is becoming more data-driven by the day. To keep up, marketers must rely on consumer statistics, campaign measurements and real-time data generated from customer interactions. Building a data management strategy that collects and links all of this data from multiple channels, in a secure manner, is hugely important.
The need is clear, and it affects the bottom line. According the Experian Data Quality research, only 10 percent of commercial companies report that none of their revenue is wasted by poor data quality. And the majority (53 percent) of companies who have significantly increased their profits in the last 12 months manage their data in a central location.
In a recent best practices guide for data management, we identified the key facets of data management as:
Data collection
Cleanliness and data quality
Security
Linkage
Agility and accessibility
To make data-driven decisions, marketers need to be completely confident in all of these data areas. And although building a data management strategy is imperative, sometimes it can be hard to know where to start.
With that in mind, we’ve put together a list of ten data management questions that will help you pinpoint where your strategy excels – and where you may need additional resources.
Ten data management questions to ask
Thats very true
The questions help the M&E team to establish accurate goals and objectives of the project
how separate is is the evaluation team from the monitoring team?
Goodmorning how are you
Is vers good work
This is nice. Thank you for the job well-done.
Thank you.
You can use Participant Tracking Form to collate your data
Evaluation team is not supposed to work independently. They are integral part of an planning Program.
This is true
Thanks a lot for this lucid explanation.
That is true.
Nice one
Data management basically is how data is collected, analyzed, generation of reports and storage. So my question is what are the ways in which data is archived ?
that is data verifications. Maybe through double checking of the data, performing data filtering.
Roles and responsibilities are very important section when we are talking planning for monitoring and evaluating projects
It was very important to learn dataflow in this chapter, because sometimes we have the data and everything, but we don't know which path and directions they should take or how to use them at each hierarchical level of the project
It is crucial to know the roles and responsibilities of each department or individual when it comes to Monitoring and Evaluation, dividing roles and responsibilities amongst individuals makes it easier for one to know where to look or which direction to head to in case of lack of understanding or if mistakes have been made. Moreover it makes it easier to carryout the work throughout the organisation
Moreover, it is vital to ask questions so as to avoid pointing roles and responsibilities in the wrong direction
Data management is a process that includes activities like data collection, data entry, data verification, data collation, and data analysis. It should provide answers to questions such as how data is collected, who enters data, who analyzes data, who communicates data, and who uses the data. A data flow map is a visual tool that illustrates the issues raised in data management.
Data Management is one of the essentials when embarking on successful projects. However, an aspect which is challenging and often cost driven is the Data storage phase.
DATA management is very essential for the monitoring team to work effectively
I would like to get some readings for this module. Any recommendation?
The best course ive ever seen
I have learnt to draw a flow chart
Its awesome.i am now better
I.need to get a job over this
Pliz can you get me a job
Best wishes
data collector
Data management is a significant and core part of the intire project because no matter how brilliant the project idea, planning and implentation if false data is collected it may skew the outcome
We welcome all motivated both intrensically or extrensically to data factory of raw marerials(raw data) where data passes processes until it is transformed into final products(decisions and reports) all through the data flow mapping to recognize how data is collected,managed, and used.
We welcome all motivated both intrensically or extrensically to data factory of raw marerials(raw data) where data passes processes until it is transformed into final products(decisions and reports) all through the data flow mapping to recognize how data is collected,managed, and used.
we welcome you all motivated intrinsically or extrinsically to data factory where raw materials(raw data) passes processes until it is transformed into final products (reports and decisions) all to recognize how data is collected,managed, and used.
Data management are all the processes for collecting ,storing ,organising ,accessing ,analysing and using data . A data management process starts by bringing in raw materials and data collected from the project.
Instead of focusing on data collection we have to look at the entire Monitoring and Evaluation plan and consider 2 questions :
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 presupposes defining which tools will be used for data collection, how the data will be interpreted and stored. Define the responsibilities of each member, who will be responsible for which phase of data management.
Good formation
we welcome you all motivated intrinsically or extrinsically to data factory where raw materials(raw data) passes processes until it is transformed into final products (reports and decisions) all to recognize how data is collected,managed, and used.
A data management framework is a model of the people, processes and policies that you need to succeed at managing enterprise data
A data management framework is a model of the people, processes and policies that you need to succeed at managing enterprise data
How best can qualitative data be analysed ?
Evaluation is complex as opposed to monitoring , so it depends on the skills in possession of either teams, but most commonly its ideally supposed to be one team
Building data management is hard to know where to start but it is imperative. That is where questions come to play.
it is a good tool
great, so nice
I enjoyed this module.
I enjoyed this module.
Nice writeup
I enjoyed this module
I enjoyed this module