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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
I enjoyed this module
This module has been really smart to understand how to assign role and responsibilities easily
Good experience
Why Are You Interested In This Role?
I am passionate about customer support since I love human interaction. I believe that this position will help me come up with solutions that will benefit several people. I am also passionate about data management, so I believe that it will help me improve my skills as I drive the company to achieve even more success.
What Are The Qualities That A Data Management Manager Should Have?
A data management manager needs to be a problem solver. Management is all about coming up with solutions, some that may be quite strenuous. He/ she should also be patient enough, owing to the number of people involved in the job. Lastly, management is all about leadership, and the requisite leadership skills are mandatory.
Describe Your Daily Routine As A Data Management Manager
My daily routine is all about supervising the generation of queries based on validation checks or errors. This is what I do every morning when I come to work. I process clinical data and then supervise the work of data management project staff.
Data management should be done professionally
In this module I have learned how data are analyse
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.
Data management skills are the abilities you use to effectively manage and use information. Data management skills involve looking for patterns, understanding database design concepts and being able to participate in short and long-term planning about database projects.
Customer data management is the process of making customer data useful for your organization. I like breaking it down into 3 parts, namely:
Data capture – How, where and when customer data is collected
Data organization – Refers to the storage of the data, the sorting and cataloguing such that the data can be accessed and retrieved in an organized manner
Data analysis – A vital part of management, this refers to cleaning the data, matching and complementing sets of data, basically processes that will help the user draw insights on the large pool of data
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.
Data management skills are the abilities you use to effectively manage and use information. Data management skills involve looking for patterns, understanding database design concepts and being able to participate in short and long-term planning about database projects.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
Data management is a process that comprises tasks such as data collection, entry, verification, collation, and analysis. It should address issues like how data is gathered, who enters data, who analyses data, who communicates data, and who utilises data. A data flow map is a visual tool that demonstrates data management concerns.
is there a seprate course for this ??
is there a seprate course for this ??
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Fantastic
very nice
When talking about data management privacy policies must be kept in mind as well. One must ensure you only collect data that you need and no unnecessary data as it could become a liability. Identifying the data that you need and developing a tool that collects only this data can save you a lot of trouble later in your project.
I want to create a perfect data flow map
the data management is the all process of collecting, storing, organizing, accessing, analyzing and using data and also how to archiving them.
Data Management makes easy to know who is doing what and at what time. If roles and responsibilities are clearly defined, then data to be collected will be clearly refined
It's verry important de know exactly which data are needed before collect them Because the report in based one the Data collected. Data Biased=Analyse biased=Bad Repport
What kind of data is more difficult to manage?
Good feebback from all
All of us really need job to Pratic effectively the lessons received here
All the process of collecting, storing, analysing and using data
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?
How can is ensure data management in my organization is effective?
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.
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. Most of the required work is done by IT and data management teams, but business users typically also participate in some parts of the process to ensure that the data meets their needs and to get them on board with policies governing its use.
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.
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. Most of the required work is done by IT and data management teams, but business users typically also participate in some parts of the process to ensure that the data meets their needs and to get them on board with policies governing its use.
Before they reach their desired state, though, data leaders are typically confronted by three questions:
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?
Data flow map is best way to visualize and manage the data.
Data Management process is a guide that give a glance for data collection, data organization, data presentation, data analysis and Interpretation
My questions is what the rights why of mitigating error when collecting data and analysis
it is really good to note that daata management helps minimize potential errors by establishing processes and policies for usage and building trust in the data being used to make decisions across your organization
data management is a critical process which overlooked can cause failure of a project
role and responsibiolities should be assigned acording to knowledge , expertise and job description.
Thank you very much for this wonderful. Which tools would you recommend for data analysis part from excel. A top that can be automated.
Thank you very much for this wonderful. Which tools would you recommend for data analysis part from excel. A top that can be automated.
You have to learn how to analyse data using excel pivot tables. Very powerful tool.
c'est vraimet itéressant ce cours
Data management is the process of collecting, entering, collating, analyzing, and reporting of data, it involves the expertise of field staff, M & E, project manager, and the project director
Data management is the act of collecting, entry, collating, analyzing and reporting data
Bien gérer les données consiste à en savoir faire bon usage; la mise en place d'un cadre pour le partage d'informations utiles en temps réel et à qui de droit. cependant une équipe dynamique et expérimenté s'avère indispensable pour un bon traitement des données.
Data management is an important part of the Monitoring and Evaluation planning process. Data well put to use is key to assessing the effectiveness of the project.
I want to create a perfect data flow map[link text](link url)
Why is data collection not considered part of data management
Data management questions; these are questions which are used while connection data.
Some of these questions are as follows...
1 what
2 who
3 how often
4 By who
5 can we do it
All these above questions are used in the data management or collection.
Usually in the project we have just 1 person responsible for M&E - mostly doing everything. I could not imagine a M&E team with several persons in a project were are only 5-6 project employees. Probably, project team should be some how included in M&E process and data collection.
Very sensitive topic. In different countries could be interpreted differently, based on believes, culture, opinions etc.
If an organization does not have an M&E in place, who would be able to manage the data knowing that project coordinators are often overloaded with several jobs? Does this hinder the quality of the activities implemented?
The collation of data will depend on how well data was collected. This willl give the users a meaningful interpretation and analysis before sending reports to the intended reciepients.
The collation of data will depend on how well data was collected. This willl give the users a meaningful interpretation and analysis before sending reports to the intended reciepients.
In data management, there are basically five questions.
What is your data?
Quantitative, qualitative, spatial, text, video, physical object, ???
Will the dataset(s) grow over time?
What tools or software are needed to create & use the data?
How will you document and describe the data?
Methodology
Field names, data identifiers, metadata
Naming conventions
Does the data need to be protected?
Participant/human subject privacy
Intellectual property
Anonymization
Will you share your data with others?
Expectation of funding agency
Open access
Journal citation
How will you store and access the data over the short- and long-term?
How long?
What file formats?
Hosting site?