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How to collect accurate database?
he data collected would then be examined for further investigation, as well as drawing accurate conclusions. The impact of your research would depend on how reliable and accurate your data is. With a proper data management plan, the data-gathering process is administered with careful supervision to make sure nothing is exaggerated nor understated.
Appropriate date management will to to be able to assess project easily
Data management is the practice of managing data as a valuable resource to unlock its potential for an organization. Managing data effectively requires having a data strategy and reliable methods to access, integrate, cleanse, govern, store and prepare data for analytics. In our digital world, data pours into organizations from many sources – operational and transactional systems, scanners, sensors, smart devices, social media, video and text. But the value of data is not based on its source, quality or format. Its value depends on what you do with it.
Taking charge of your data requires tackling a wide range of data management concepts. Data management powers the processes for every successful organization, across all industries. With more data and easier access to analytics comes the chance to seize more opportunities, ask more questions and solve more problems.
As long as businesses have collected data, they’ve had to manage it to avoid the conundrum of “garbage in, garbage out.” As volumes, types and sources of data soar, the need to process data in real time expands – and the urgency to manage data well remains a top priority for business success.
Trusted data leads to trusted analytics – which is important for the success of every business. And trusted data starts with having a solid data management strategy supported by proven data management technology.
data management can be successful if we have the complete data
data management can be manage easily if the data is complete
Data management process is an important tool that harmonizes the entire process of M&E to ensure adequate and sustained flow of usable information, from button to the top i.e from field workers to the top management officials.
Data Management questions answer questions in relation to the processes for collecting, storing, organizing, accessing, analyzing and using data
The data management process is important during the identification of the data will be used in the analysis which will help the researcher to find out real information of the project.
Essential of monitoring and evaluation plan include: Identity project, choose Indicators and target, Decide the way of measuring indicator, creating tools
Data Management
One of the major ways to secure good and accurate project implementation process is to secure a good data management system. A data management system, which includes data collection, analysis and storage must be fully explained ad explored in other to conclude a good management system. this further prioritises and concludes positive project validation.
There are roles and responsibilities within every step of the data flow maps. From Collection, down to the last phase, where it has been analyzed, stored,reported and used for decision making.
To my understanding, every step that you need to take to achieve your aim is appropriate, and for every step, the tools (and your budget size) you need (e.g. people), to achieve these steps, would determine the quantity of actors you involve in your M & E.
I hope these helps.
Its so amazing about the data management process thanks all.
Micro soft excel can be very good in data management process.
Data management is important for ensuring the longevity of your project. It's also helpful for communicating the impacts and outcomes to stakeholders and others who may be interested in the takeaways (those who may not be stake holders but could benefit from the lessons learned or data collected). It's also important for ensuring that your analysis and evaluation is done efficiently and effectively, which can be achieved by outlining clear roles and responsibilities.
first and foremost, data management questions helps you to know the kind of questions to ask during measurement and assessment processes.
The business function of planning for, controlling and delivering data and information assets. This function includes: the disciplines of development, execution, and supervision of plans, polities, programs, projects processes, practices, that control, protect deliver, and enhance the value of data information assets.
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
Box & Whisker Plot.
Check Sheet.
Control Chart.
Design of Experiments (DOE)
Histogram.
Scatter Diagram.
Stratification.
Survey.
Data Management is the process of data, it's been clearly describe in data flow nap how data moves from one point to another, starting from the collection to the use. Any process between the collection and use of data is known as Data Management.
Data management is very important. The M&E data represents human beings therefore it must be treated with respect. The people involved in the project must be trained how to use the data and to handle it.
What level of data security do I need?
Data protection is need to maintain the security of data's.
What kind of data do I need to analyze?
The majority of the data's would be transactional.
Which use cases do I need to focus on?
Focus must be given on the data's from the participants.
Will data management help me maintain compliance?
Yes, the data management will help me to comply with the donors, and the project partners requirements.
Data is very important piece of information and therefore should be handle with all carefulness. The right data should be reported without getting temper with by any data collection office or whoever is in charge to do so.
My office friend once said, data is life hence all measure of care is to be invested in making sure the pure and unadulterated data has reach where is required to reached.
Not necessary but having the data and input of assignment 2 will help u to create a perfect flow chat for the assignment in module 5. You are required to start how u got your data and the process it went through before data report.
That's absolutely right.
Yes, indeed question that no just layman can attend to. It broaden your knowledge of manipulation and analysis in simple and plain way
That's absolutely true sir.
Your data collection and data management processes will be complicated systems that involve many people. In complicated systems like this, it is easy to make mistakes. One way to avoid mistakes in complex systems is to very carefully describe what each person is responsible for doing. This ensures that everyone understands their role in the project, that there is no confusion over who is responsible for each task, and that no important task is forgotten.
Who is collecting the data
When is data collected
Where is the data collection
Collection tools and methods
Roles in data processing and analysis
reporting
designing a data management map enables the whole project team understand the flow of M & E information and who is responsible for the different roles hence promoting transparency
data flow starts fom the bottom upwards, and at the bottom of the map is the different data collection methods as is in the means of verification in your log frame
Targets in logical framework should be realistic. A realistic target is achievable. However much we try to impress donors in our targets they should not be too ambitious that we cannot achieve.
La planification d'un projet passe t'elle essentiellement par la carte des flux des données ?
La planification d'un projet passe t'elle essentiellement par la carte des flux des données ?
Data Management is the process of data, it's been clearly describe in data flow nap how data moves from one point to another, starting from the collection to the use. Any process between the collection and use of data is known as Data Management.
Data Management is the process of data, it's been clearly describe in data flow nap how data moves from one point to another, starting from the collection to the use. Any process between the collection and use of data is known as Data Management.
Monitoring and evaluation assistant
Data management is a very important task in M&E. Proper handling of data is as important as gathering it. Proper presentation and labeling using the meta data need to be well considered.
I very much appreciated this process when it allows for a good prioritization of the responsibility of the different actors in the project data. At best, it helps to know who is doing or should do what.
Data management is about the processes from data collection to data analysis.
It is possible for an individual to handle the data management process? I mean one person playing all the roles of data entry, collation, analysis and storage?
Data collection and management is very essential in every project. We need to ensure that the right people are handling and processing data. The data also needs to be validated.
Roles and responsibilities must be shared/known in the data collection/ management process.
Data is the most important information in any project.
Proper data management need start at early stage, if not you can be overwhelming with the work load.
I would like to learn on how to maintain the focus of children and create a fun learning environment during my online class
I would like to learn on how to maintain the focus of children and create a fun learning environment during my online class
Proper data management need start at early stage, if not you can be overwhelming with the work load.
Many projects fail because they do not have the right people performing the right assignment, it is important not only to mage the data but make sure you have the right people performing the tasks.
It clear that data management is important because of the impact it has on the conclusion of the project.
Data management is an essential process as it helps to think about how roles, processes and tools might interact
data management is critical for organizational performance
ilenjoy data management
Data management questions helps us to collect the right data while assigning roles and responsibilities to the appropriate staff.
Data management signifie gestion des données. Le data management revient donc à mettre en place une stratégie de gestion des données au sein d’une entreprise. Ce terme englobe l’ensemble des processus déployés pour collecter, structurer, gérer et utiliser les données. Mais aussi la manière dont les données vont être intégrées au système d’information de l’organisation.
Data Management questions answer questions in relation to the processes for collecting, storing, organizing, accessing, analyzing and using data. It's very important for the Met E
To my understanding, every step that you need to take to achieve your aim is appropriate, and for every step, the tools (and your budget size) you need (e.g. people), to achieve these steps, would determine the quantity of actors you involve in your M & E.
I hope these helps.
Data Management is a key aspect of M&E and project management. They way data is handled right from collection to analysis will determine where you will get the right reports/deductions or not. Remember garbage in, garbage out.
It is important to have a walk through the entire process using sample data (test phase) before the actual data management processes begin. Testing will not only help you in training your team but will also help you perfect the data management process, identify gaps and fix them in advance. Each process in data management (data entry, storage, querying, analysis) is delicate and if not carried out properly and accurately, you are about to get wrong results hence end up making wrong decisions.
Defining role and responsibility of each staff involved in project implementation is first step of data management process.
This is the best module to understand deeply as it will give you a clear image of the whole project and how it should flow with the involvement of all the relevant parties.
I think that collecting and managing data is very important in the monitoring and evaluation plan because without data its plans are nothing, so you have to be as precise as possible when collecting and organizing data.
How to create a Data flow Map
10 tips for developing a data management system for monitoring and evaluation (M&E)
1: KISS-ME; Keep It Simple, Structured, Modular and Elegant
2: The Interface; yes, the book will be judged by it’s cover
3: only techies read the user guide!
4: “you can’t manage what you don’t measure”
5: scale-ability; growth doesn’t have to be painful
6: compatibility and interoperability; no system should be an island
7: reports; from the menu, or buffet-style
8: data on the go
9: accessibility? Shouldn’t really be optional
10: backup and maintenance; sh!t happens
Hello isaac my name from Zambia find it intresting to learn about data collection and how to design the participant trucking form ,thanks.
I understood that it is important to create a data flow map in order to have a broad picture of data management. the data flow map include roles and responsibilities that make connection between the collection data tools and the use of data at different level.
Si dans l'identification des risques et hypothèses on trouves des risques trop pesant par exemple : l'état fait recours aux arrestations et intimidations pour un projet de contrôle citoyen que faudra t'il faire ?
it is wonderful module
While the role and responsibility step is important is because it is where ideas become plans
The importance of Data quality cannot be overemphasized, it determines the quality of the project report and impact. Though it is complex to handle, with proper guidance and training of the enumerators, this will help in achieving quality data.
Data management is very important in the development community as it guides and serve as references for future use, verification and re-evaluation
Data Flow Maps are beneficial tools for M&E as they show the process end-to-end i.e how data is collected, managed and used.
Will data management help me maintain compliance?
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
The use of all the information that will be collected during the M&E activities will depend largely on a well designed and planned data management process. This will define all roles and responsibilities that will be involved in the data flow map.
The use of all the information that will be collected during the M&E activities will depend largely on a well designed and planned data management process. This will define all roles and responsibilities that will be involved in the data flow map.
data management questions are very useful in designing the data flow map as they help you to piece together the roles and responsibilities that the project will require. this inturn will help in planning and management of a project to ensure its success.
Data management questions involves how the data collected be entered, collated, verified, analyzed and used.
Data management is crucial for M&E.
Data management is crucial for M&E.
Data management is crucial for M&E.
@thomasthompson709 said in Module 5 Discussion: Data Management Questions:
Data Management is the process of data, it's been clearly describe in data flow nap how data moves from one point to another, starting from the collection to the use. Any process between the collection and use of data is known as Data Management.
Congratulations.
Where do we have room for feedback.
Data management is key to achieving your goals as an M&E officer. A key tool to achieving this to design a data map flow which assigns roles and responsibilities to the whole project team. This make it easy for your project implementation.
Hi isaac is my name,data flowmaps are very helpful tools monitoring and evaluation planning,because they show how data is collected,managed and used.
With the advance of technology into the Non-governmental space of data collection, many organizations are quickly adopting the use of mobile data collection. This is where data is captured using a portable electronic device that makes data collection and storage easier, faster and safer.
The use of this tool can be disadvantageous in data collection in survey situations where the participant has to type on it. It can be challenging to acquire accurate and complete information from those without technological experience or those who have not used the specified data collection device.
Fatigue from sitting in long interviews and tiring focus groups can affect both the interviewee and the researcher and can compromise results in a data collection exercise. The researcher should be observant, understanding, a good listener and considerate in order to preserve data quality.
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 use. it helps to inform business decisions and gain deep insights into customer behavior, trends, and opportunities for creating extraordinary customer experiences.
This module teaches some of the best data management practices that organizations and enterprises should strive to achieve which include:
Data management is yet another important aspect of M&E as it is the back born of having clean and quality data to use for analysis and ultimately reporting.
Data flow map is simple but very powerful way to instantly understand the job of M&E. It needs to be adequately exposed to learners, using many examples.
Data management is yet another important aspect of M&E as it is the back born of having clean and quality data to use for analysis and ultimately reporting.
the data flow process is key as it determines how efficient the monitoring and evaluation aspects of the project will run...
validity of data is key... in some instances, both external and external validity may need to be considered...
each and every project staff must be clear on what roles and responsibilities are expected in a project
i couldn't agree more. im really happy too...
key issues under data quality such as; reliability, validity, replicability, programmatic correctness, usefulness, etc must be taken into consideration in a project...
these actually help who to look at or for in case of data collection and quality issues...
and the source of that data too...
data quality is key to determine if a project will be sustainable or not...
in most cases, since FGDs productive qualitative data, transcripts of the discussions would do, as per discussion and as guided by the FGD guide...