How to Find Data Sources and Organize Data to Fit Your Content Needs

If you’re looking for data to support your content, the first step is often finding credible sources and organizing it into a format that fits. Here are some tips on how to find pioneering companies in the field, as well as useful techniques for getting started with information from secondary sources like directories and newspaper archives.

A data source is a type of data that can be found and used by other applications. They are typically used for marketing purposes to create content that fits the needs of your audience. This article will teach you how to find data sources and organize them in order to fit your content needs.

Have you ever discovered after finishing a piece of material that you missed the release of data you might have utilized as a main source, forcing you to either start again due to obsolete information? It’s a bitter pill to chew, but this has occurred to me on many occasions, and it’s meant losing out on critical content chances on several occasions.

Finding public data sources is difficult enough, but keeping track of when a data set will be updated is much more difficult. You’ll find everything you need to get started below, including techniques, tools, and suggestions for improving your content planning by taking use of free, current public data sources.

Sign up for the Right Data Newsletters as a first step.

Your first duty is to determine what public data sources are available, not just for your issue area but for the whole world. How can you come up with a fresh content notion if you don’t know what’s currently out there? This procedure takes a lot of thought and effort, but it will save you time in the long run since you can return to it again and again.

Begin by receiving hundreds of datasets by email every week. You may sign up for data newsletters, which compile unique data sets that can help you come up with fresh content ideas and give you relevant information.

Here’s a collection of data-driven email lists I’ve compiled. Each of these newsletters contains various sorts of information and is sent at different intervals. 

Numlock

Numlock Newsletter

In your mailbox, you’ll get numbers that are entertaining, shocking, and easy to understand. This is more of a highlighter for interesting statistics inside a subject than a whole datasource.

emailed on a daily basis

The word “data” is plural.

https://tinyletter.com/data-is-plural

It focuses on data obtained by others and is often distinctive and specialized. These data tales often incorporate unique data or mix numerous datasets.

Emailed once a week

Dataworld

https://data.world/

An update on the various data presented on the site, which is a community-based site that curates a mix of original sources and links to government and other official data sources.

Emailed once a week

Kaggle

https://www.kaggle.com

For data science projects, a mix of coding and programming, as well as public datasets to utilize. This site and newsletter are completely configurable, making them ideal for highly experienced data scientists.

As new information in your chosen areas of interest becomes available, you’ll be notified.

Flowing Information

http://flowingdata.com/

The most recent trends in data visualization, statistics, and data are highlighted. Great ideas about where to go for data and how to show it.

Daily

The Custard

https://pudding.cool/

This site is more for content inspiration, since it takes common issues in society and illustrates the narrative inside them using statistics and images.

6 times every year

My favorite newsletter from above is the The word “data” is plural. newsletter. Not only does it send weekly updates, but it shares really unique data sets that aren’t going to be the first results on search engines.

They also compile all of the data they send out into one large spreadsheet that followers may access at any time. You may use this sheet to run a keyword search to check if there is any information related to the concepts you’re working on. 

Another incredible source for inspiration from the list above is Flowing Information. This source serves two purposes for me:

  • locating data sets and/or concepts
  • Discovering new visualization approaches.

This email has a wealth of inspiring examples that may help you improve the way you display statistics in your writing.

Tip 2: Follow Data Sources and Visualizations Subreddits.

Reddit is a never-ending source of entertaining material and ideas. Reddit not only informs me about new trends and issues, but it also assists me in locating statistics to back up my claims. 

To begin started, I suggest subscribing to a few subreddits.

r/datasets

It’s about the same thing we’re talking about here: discovering data. I usually post in this thread when I need assistance locating a tough data point or when I’m having a bad day and can’t seem to locate what I’m searching for. 

These content makers and data gurus are a fantastic set of folks to get to know. This forum contains about fascinating and intriguing data sets you may explore and add to your arsenal, in addition to real-time help from the data community. 

r/dataisbeautiful

How-to-Find-Data-Sources-and-Organize-Data-to-FitThis subreddit serves two purposes: it assists you in locating data that you can work with and it demonstrates how to visualize it. Similarly, r/dataisugly displays datasets that exist but are poorly shown. These sites may help you figure out what you can do (or what you can’t do) with the data you’re looking at. 

If you’re new to incorporating data in your content, watching how others do it might make the frightening chore of diving into data seem less onerous. 

r/usdataisbeautiful

This subreddit is similar to r/dataisbeautiful, however it focuses on data from the United States. If you’ve ever tried to browse a government website, you know how tough it can be. Finding data from a government agency may be torturous, but this forum will help you get started in the correct direction and make the process much less painful. 

Whatever path you choose, you’ll be sure to discover bookmark-worthy inspiration.

r/DataVizRequests

The subreddit r/datavizrequests is a less popular but nonetheless valuable site for getting datasets. This subreddit invites members to ask readers to help them visualize the information they have. As with many of our other resources, this subreddit may point you in the direction of data you can utilize in your work or assist you in presenting the data you already have. Many individuals are eager to help visualize and locate data, so utilizing platforms like Reddit to uncover a team of data professionals to assist you with your content ideas may save you hours of searching and hiring via conventional talent searches. 

You should avoid just replicating the graphics you discover while dealing with any of these subreddits. You should think of new ways to deal with the data you uncover or draw inspiration from the visual approaches you come across.

Tip 3: Look for data and datasets on Google.

Don’t tell anybody in my workplace, but I don’t have access to a data collection that has the precise statistic they want. Google is one of the most useful tools we have at our disposal.

I just type “data” and “dataset” into a fast search of the subject. This accomplishes the apparent goal of locating a data source to work with, but it also enables me to examine how others have approached this data collection and what stories they have been able to tell with it.

1636646162_779_How-to-Find-Data-Sources-and-Organize-Data-to-Fit

The data you collect might be a terrific source of inspiration for new ideas based on previous work. What questions were left unanswered by everyone?

A fast online search usually suffices, revealing a new source to add to my own database of databases. That brings me to my last and most crucial piece of advice.

Tip #4: Make a list of data sources relevant to your topic.

This method will enable you to easily determine the age of data and identify impending releases.

You will be overwhelmed if your data sources are not arranged. Trying to sift through data sets to find which one includes the piece of information you’re searching for might take up hours of your time. 

Getting Your Data Lists Organized

Begin a sheet with the data source name, URL, last publication date, predicted update (which you can obtain by looking at prior releases, content calendars, or contacting the data owner), and a summary column that lets you quickly identify the sort of data the source collects.

1636646165_97_How-to-Find-Data-Sources-and-Organize-Data-to-Fit

Setting aside time each quarter to look over and make sure you know what’s been published before as well as what’s coming up is a fantastic habit to get into so you can properly plan out your content schedule. 

Once you’ve started collecting data, you may add additional tabs to your page to organize your resources into distinct subject groupings. 

Making Certain Your Data Is Still Useful 

As previously said, understanding how current your data is is critical in ensuring that you have the most up-to-date facts and statistics to work with.

One thing to avoid is presuming that the first item you discover on Google is the most up-to-date information.

Going to the source of the data and looking at the release dates, which are generally on the front page of the reports of data produced, is the easiest approach to ensure you’re dealing with the most current numbers. For certain sources, this might be difficult to determine, but reaching out to the source through email or even Twitter can assist you in determining if the data is the most current.

It is up to you to choose what is current enough for your material. While some databases provide information from the current year, the data contained in them may be from earlier years. Some data providers are a few years behind on their reporting, which may be OK for your site’s content depending on the subject.

Publishers may be hesitant to disclose facts that are more than a year old when it comes to link building. It all boils down to what your content objectives are. You can always put a page into Archive.org and check when it was published if you can’t figure out when it was created. It keeps screenshots of the sites so you can check to see if and when they were changed. 

Conclusion

Data might be frightening at first, but persisting with it can result in a vast supply of entertaining, accurate, and valuable information to act as the basis or support for the material you’re writing. 

Participating in data journalism helps you to distinguish out by providing reliable information and presenting your brand in an authoritative light. The key to success is to start with the correct foundation – high-quality data sources. Use these pointers to get started incorporating data into your content production.

Frequently Asked Questions

How do you find the source of data?

A: The source of the data is from a combination of internet sources and the game’s file system.

How are the data in the data source organized?

A: The data in the Data Source is organized by category. For example, Competitions are sorted under Competition, and Mapping Notes are sorted in Maps.

What are examples of data sources?

A: The data sources are the most important part of any question answering system. Theyre like a database that your questions rely on to provide answers, but they can also be viewed as data providers, because they give you information about topics and categories in which you have no knowledge yourself.

Leave a Comment

Your email address will not be published.