Unlock the Power Of Data Curation
By Tom Seest
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Data curation is the practice of curating information to make sure it is accurate, relevant, and accessible for research. Data curation helps organizations save both time and money while decreasing data risk.
Data curation is vital in today’s age of big data. It helps businesses manage a manageable volume of information while making it easy for employees to locate what they need when they need it.
Table Of Contents
Data curation is the practice of overseeing an organization’s data from its inception through to disposal, making data more useful for discovery and analysis by users as well as ensuring it remains easily accessible and safe.
Though this practice dates back centuries, collecting, organizing, and presenting objects remains crucial to businesses today. Doing it right helps avoid inaccuracies, flawed analytics, and missed opportunities that might otherwise occur.
Data accessibility ensures all employees can make data-driven decisions and accelerate business actions while meeting any data-related regulatory or security requirements.
As organizations become more dependent on data for business purposes, it becomes essential that they learn how to effectively curate that data. A holistic approach that encompasses its creation through its decommissioning is necessary in order to effectively manage it.
Curation encompasses many tasks, from gathering data from multiple sources to cleaning and organizing it in an easily consumable format, as well as archiving it for future use.
One of the key steps in data curation is identifying what data must be compiled to ensure its high quality and meet company-specific requirements.
This may involve identifying appropriate data sources that can give insight into customers’ habits and behaviors, with curators using various means such as surveys or conducting observations to collect them.
Step two of data curation involves organizing and categorizing it. This can assist business intelligence (BI) teams and employees with quickly finding what they need for different applications, making their work more efficient. Information should be organized so it can easily be searched for so employees can locate it and use it more effectively.
Organizations often employ data catalogs as a strategy for organizing their data assets, which serve as a central repository of all of them – this may include data assets themselves as well as their attributes and any related details. Furthermore, the catalog may feature tools and features like workflows, reports, alerts, visualizations, or reusability that further facilitate the organization of this important asset.
Data curation is the practice of organizing data in an accessible form for business users. This involves collecting, structuring, indexing, and cataloging information for various uses such as research, business decision-making, or science.
Modern organizations face an abundance of data sources, from traditional business applications and IoT edge computing devices to nontraditional data sources like sensors. The massive increase in volume and variety is creating an immense challenge for organizations.
As data can often be unstructured and inaccurate, it can be challenging to know which pieces are useful and which ones aren’t. Therefore, many companies have implemented data curation processes and hired data curators in order to help identify useful and non-useful pieces.
As more than 2.5 quintillion bytes of data are created each day, business analysts and scientists must have access to different data types – structured, semi-structured, unstructured – in order to get the most from their work.
Curating data allows analysts to access relevant information at just the right time, making it easier for them to draw insights that can improve organizational performance and understand its effect on bottom lines. It also gives insight into how their data impacts bottom lines.
Data curation offers another key benefit in that it helps organizations meet their data governance objectives, including strategic planning, monitoring, and policy creation for data management activities. Furthermore, data stewardship requires the identification and correction of any problems with an organization’s data.
Though it’s impossible to maintain an inventory of all the data sets an organization collects, data curation allows users to quickly locate what they require – something that becomes increasingly critical as volumes of information continue to rise. Business intelligence and data science teams, as well as executives, require visibility into what information they possess for analytics applications and operational decision-making purposes.
Effective data curation allows BI and data science teams to quickly access the necessary data without risking exposure in applications and decisions made based on analytics applications or operational decisions, increasing confidence among users regarding the accuracy of decisions driven by analytics while driving business actions and innovation-based on these analyses.
Data curation refers to the practice of analyzing, cleaning, organizing, and presenting data so it’s more accessible to future researchers and easily reused for other projects. Doing this ensures your data stays a valuable resource that can easily be reused for multiple uses in future research projects.
Since businesses have come to realize the potential value of their data assets, they have begun investing more heavily in this process. Businesses realize that having access to this data can open new revenue opportunities or open doors within their organization.
Researchers are becoming more concerned with ensuring the sustainability of their data assets, making sure their research data remains up-to-date for years to come. As such, they are investing in methods such as data curation and archiving to safeguard this vital data for years to come.
Organizations can also protect their data by selecting durable formats and storing files locally – this ensures that data won’t be lost in an emergency scenario.
Archiving data in an appropriate repository is another means of protecting it for long-term storage, with strict regulations and file size limits in place to ensure its safekeeping. These repositories exist so your research data can be kept safe in an accountable fashion.
Repositories offer no-cost storage solutions to researchers who deposit their data there, though some do charge fees for providing additional details or uploading large files. It is wise to research each of them prior to selecting one as part of your preservation needs.
First and foremost in safeguarding research data is to archive it safely for future reuse by depositing it in an approved repository. This will protect it from unintended access while making it easy to find and reuse when you need it in future research projects.
Curation and preservation have become major priorities within the research community in recent years, prompting libraries, funding agencies, and global organizations to explore methods, technologies, and organizations needed to preserve research data over time.
Data curation is a process designed to assist organizations in organizing and understanding all the data they collect in an efficient manner, as well as using this data effectively and efficiently.
As organizations become more data-driven, it becomes essential that they have an efficient way of organizing that data to make it user-friendly and ensure users can find what they need to complete their jobs effectively. Otherwise, information may become disorganized or lost entirely, and users would struggle to locate relevant information when needed.
Tasking data curation can be challenging when there is an overwhelming volume of information being produced at an ever-increasing rate, which is why organizations require experts in data curation to organize and make sense of this data in order to utilize it efficiently.
Curators are experts in their respective domains who possess the skills needed to identify and collect relevant data for that field. Once organized, these curated datasets can then be shared effectively across teams so that they will be utilized properly.
Data analysts will also be able to help companies recognize and understand patterns within their data in order to utilize it more successfully for business operations and gain a competitive edge over industry competitors.
Data curation is an integral component of the data lifecycle, meaning it will remain active so long as there is interest in that data. This is especially crucial when dealing with scientific information, which must be available for further experiments by scientists and researchers alike.
Data curation provides great benefits to society and is one reason so many people work in this industry. Data curators also enjoy being able to use their skills and expertise to make our world a better place through data curation.
As more data is being accumulated, big data curation tools have arisen to assist organizations in organizing it effectively. These tools enable them to streamline their data workflows by extracting this information from its storage place in an organized fashion and storing it securely so they can use it when required.
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