Open Data Content Marketing: Eurostat Press Angles

Short answer: a public dataset does not earn links by existing. Links follow a sharp question, a calculation anyone can retrace, a finding that fits in a headline and a summary a reporter can absorb in two minutes. Eurostat and national statistical offices supply the raw material. The angle, the care and the packaging are yours.

This guide is for in-house marketers, content leads and PR consultants who know their industry well but have never run a data story. It walks through choosing a dataset and checking the terms of reuse, framing the question, cleaning and charting, writing method notes, pitching with a one-page summary and keeping the story alive year after year. Nothing here is legal advice. Every data publisher sets its own reuse terms, and you should read them on the publisher's own pages.

One expectation to set early. A well-built data story raises the odds of coverage and citations. It does not guarantee them, and nobody can promise a link. What you control is the quality of the work and how easy you make it to cite.

Choosing a dataset and checking reuse terms

Strong projects begin by eliminating datasets, not by falling for one. You will find hundreds of tables that look interesting, and only a few can carry a story. Run every candidate through the same four checks before spending an hour on it.

Does the topic sit close to your expertise?

Thousands of organizations could write about a population table. Few can add real context. A payments company has a natural voice on household internet use, a furniture brand on housing and household size, a travel startup on overnight stays. Your advantage is knowing which questions your own customers and the trade press care about. Choose data where your commentary is credible without a stretch.

Will it be published again?

A one-off table cannot support a yearly refresh. Look for series with a visible release rhythm. Eurostat's database navigation tree is refreshed twice a day, at 11:00 and 23:00 Central European Time, and the Turkish Statistical Institute (TUIK) shows a release calendar and a list of recent bulletins on its home page. Knowing the next release date lets you plan an update for the same week the new numbers appear.

Can you compare with it?

Most headlines come from a contrast: one country against another, this year against last, a region against the average. Eurostat is strong here because it presents the same indicator, defined the same way, for many countries. If your candidate table has only a single total, with no breakdown by place, group or year, move on.

Are the reuse terms clear?

Do this check first, not last. Eurostat's copyright notice says its statistical data, metadata and publications may be reused for commercial or non-commercial purposes as long as the source is acknowledged. If you modify the data or translate text, you have to say so clearly and add a disclaimer that Eurostat is not responsible for the reuse. The notice also lists exceptions. Data that originates from sources other than Eurostat, data for countries outside the EU, EFTA and candidate countries, and logos and trademarks are not covered for commercial reuse. In practice that means a row for a non-European country has to be removed before the table goes into a commercial article. Read the current wording on the Eurostat copyright notice (Opens in a new tab) page, since terms can change.

If you plan to use TUIK data, apply the same habit. The institute's home page links a legal notice, a page about pricing of data and information, and micro data request procedures, which tells you that not every product is simply downloadable. Check what applies to the table you want, and how the institute expects attribution, on the TUIK website (Opens in a new tab). When in doubt, ask the publisher or a lawyer before you publish.

Dataset triage table

Finding your way around the Eurostat database

The database has two layers. Detailed datasets hold all publicly available Eurostat data as multi-dimensional tables. Selected datasets offer fewer indicators in simple two- or three-dimensional tables. Both are grouped under nine statistical themes. A first project is usually easier with a selected dataset, because fewer dimensions mean fewer ways to misread the table. The data browser lets you filter dimensions, build custom views, save bookmarks and pick a download format, and a compressed option downloads a full dataset as tab-separated values. The Eurostat database page (Opens in a new tab) describes the layout.

Write down the dataset title and code as soon as you settle on a table. In three weeks, when a reporter asks which table you used and which filters you applied, that note saves you. It is also the first line of your method notes.

Framing the question a journalist wants answered

With a dataset chosen, the real work is deciding what to ask it. The classic mistake is opening the table, charting everything and hoping a pattern appears. Good data stories start from a question and use the numbers to answer it.

Start from the reader's curiosity

Questions that earn coverage tend to fall into a few families: biggest and smallest, fastest change, the surprise, the comparison and the trend. Which countries saw the sharpest rise in a share over five years is a trend question. Which regions look different from the national average is a comparison. Whether a popular belief about your industry holds up is a surprise question. Each can be asked in one sentence and answered with a number. If you cannot state the question in a sentence, it is not ready.

The headline test

Write the finding in one sentence without naming your company. If the sentence still means something, a reporter can use it. If it only works with your brand attached, it is a promotion rather than a story. Vague findings such as "usage varies by country" fail the test. Specific findings with a comparison and a number pass it.

A worked example

Take a home energy advice brand that wants a story from household data. A weak question is "How much energy do Europeans use?" which everyone answers with a shrug. A stronger one is "Which countries spend the largest share of household consumption on housing and energy, and has that ranking changed?" It is tied to the brand's expertise, built on a comparison, and answerable with a ranked chart. Figures are left out here because the choice of question is what matters.

Question types at a glance

Questions to avoid

Three kinds of question cause trouble. First, those the dataset cannot answer because it does not cover the population you care about. Second, those that imply cause. A table shows that two things moved together, not that one produced the other, and a sentence that says "because" without evidence will cost you credibility with the first careful reader. Third, those that show a single-year figure with nothing to compare it against. A number alone rarely makes news.

Cleaning, charting, method notes

You have a question. Now you produce the answer. Errors here are expensive, because once a journalist publishes your number, a correction hurts both of you.

A cleaning routine that works

Keep an untouched copy of the download and never edit it. Work on a second copy. Confirm units first: thousands, single units, percentages or index values. Check how missing values are flagged, since many statistical tables mark them with a symbol rather than a zero, and reading them as zero will quietly distort every average. Then remove rows you are not allowed or not able to use, such as non-European countries in a commercial piece under the Eurostat terms, or aggregates that double count their own members.

Calculations that hold up

Do not mix percentage change with percentage point change. A share that moves from 10 to 12 percent has risen by two percentage points and by 20 percent in relative terms. Both statements are true and they say different things, so label which one you use. Be careful with averages of averages: the mean of regional means is not the national mean unless the regions are equal in size. Round only at the end, and use the same number of decimals across every table and chart.

Picking a chart

A chart exists to make the finding quicker to grasp. Horizontal bars suit rankings, lines suit trends, and a simple table often beats a pie chart with more than two or three slices. Title each chart with the answer, not the topic. "Share of households by country" says nothing, while a title that states the finding gives a reporter the headline. Start axes at zero or flag clearly that they do not. Label values directly so that colour is never the only carrier of meaning.

Make the chart portable

Reporters often want to embed or recreate your visual. Keep the underlying table next to the chart on the page, write a descriptive alt text for the image, and print the source line on the graphic itself. When an image travels away from your page, the attribution travels with it.

Why method notes matter

A method note makes your work defensible. The journalist will put their name next to your number, so they need to know where it came from. A good note is short and complete: the table title and code, the date you accessed it, the filters, the calculation, what you excluded and what the data cannot tell. Eurostat's own citation guidance for datasets asks for the dataset code link and an access date, so your note can follow the same pattern.

Method note checklist

• Full dataset title and code, if one exists
• Publisher name and a direct link to the dataset
• Access date
• Filters applied: years, geography, categories
• Calculations, formulas and rounding rule
• Rows excluded and the reason
• Known limits: definitions, missing values, possible revisions
• A statement of any changes you made to the data and a note that the publisher is not responsible for your reuse
• A contact person who can answer questions

The second pair of eyes

Before anything leaves the building, ask a colleague to rebuild each headline number from the raw download. If they get the same result, you are safe. If not, find out why. The usual cause is that one person calculated percentage change and the other percentage points. Use hedging words such as "roughly" only where the number really is approximate. Do not soften a figure you computed exactly.

Pitching with a one-page summary

Reporters receive a flood of suggestions every day. Yours has to show its value in seconds, which is why the pitch is built around a single page that can be scanned.

Anatomy of the page

Put a headline that states the finding at the top, with a one- or two-sentence subhead. Under it, place the strongest chart and three or four key findings. Follow with a condensed method note, a direct link to the data page and a contact. At the bottom, offer the full report, the raw table and downloadable images. The reporter should grasp the story before opening anything else.

The cover email

Write the subject line as the finding, not the brand. Keep the email to three short paragraphs: the finding and why it matters now, one line on the data and method, and what you can offer, such as an expert comment or a regional cut. Include a quotable sentence and your contact details. Keep attachments out of the first message and link to the summary instead. Writers who want to go deeper on research-led outreach will find more in our guide on original research and surveys for link earning.

Choose recipients with care

Mass mailing returns little. Build a short list of reporters who have covered the topic before, who like working with numbers and who care about the regional side. If your data splits by country or region, make small local versions; a page tailored to one region gets more attention than a general one. After sending, record who published, who cited you and who linked, as three separate columns. The guide to a digital PR measurement log explains the method.

Asking for links gracefully

Pushing a reporter for a link can sour the relationship. Instead, make linking easy. Give the data page a short, stable address, say the charts can be downloaded, and print a suggested citation on the page. If a reporter chooses to link, that is an editorial decision. For a broader look at what makes pages worth linking to, see linkable assets: content that earns links.

The landing page behind the pitch

The page that hosts the data is where reporters and readers end up. Include a short summary of the finding, the charts with their tables, the method note, a ready-made citation and a contact. Make the headline a statement of the finding. Keep the address short and leave the year out of the URL, so that next year's update lives at the same address and the links you earned stay valid.

Updating the story yearly

A one-off data story makes news once. A page that is refreshed every year makes news again, and keeps earlier links working. That is why the update is the main payoff, not an extra.

Build a release calendar

Track the publisher's release schedule. TUIK lists a data release calendar and recent bulletins on its home page, and Eurostat refreshes its database frequently, though the series you chart may only change once a year. Put each series' expected release month in your own calendar and schedule the update for that week.

Expect revisions

Statistical offices sometimes revise earlier figures. TUIK's site includes a revision handbook and related quality documents. Each year, pull the previous years' numbers again from the source instead of reusing your old file, and note any differences. If a figure changed, add a dated correction note on the page. Quiet edits damage the trust of everyone who linked to you.

Dates and archives

Show "first published" and "last updated" separately at the top. Keep earlier editions at permanent archive addresses so that a writer who wants to cite last year's version can find it. Put the edition date in your suggested citation.

Annual refresh checklist

Protect the links you already have

Your most valuable assets are the pages that already attract links. Do not change their addresses. Publish the new edition at the same URL, move the old one to an archive address and link to it from the page. If an address must change, use a permanent redirect.

Ways to extend a story

One dataset can feed more than one story: regional editions, industry cuts, long-run comparisons, or a blend of the official data with your own survey. Each variation is a new angle for a reporter. If you add your own survey, describe its method separately and keep it visibly apart from the official figures.

Attribution and citation habits

Crediting the source properly is part of the licence and the basis of your credibility. The same discipline applies to your own articles, and our guide to citing sources in articles covers it in more depth.

Eurostat citation pattern

For datasets, Eurostat asks for the dataset code link or DOI and the access date. For other products, the pattern is source, product title, link and access date. If you altered the data, say so and note that Eurostat is not responsible for the reuse.

TUIK citation pattern

Confirm the preferred citation form on the institute's own pages. In your source line, name the institute, the bulletin or table, the release date and give a direct link, and adopt the institute's wording if it specifies one.

Attribution checklist

• A source line under every chart
• Publisher name, table name and access date
• A plain statement of any changes you made
• Rows outside the permitted scope removed
• A ready-to-copy citation on the data page

Decision rules

Turning your choices into short rules shortens team debates.

• If the question does not fit in a sentence, narrow it before touching more data.
• If the finding needs your brand name to make sense, do not send it.
• If the reuse terms are unclear, ask the publisher first and publish second.
• If two people cannot reproduce the number, hold the pitch.
• If the method note runs longer than a paragraph, shorten the summary version and link the full note.
• If a revision changes a figure, publish a dated correction.

Common mistakes

Charting without a story

Converting a table to a graphic is not a story. The story is the answer to a question and the reason it matters. Two sentences next to the chart often make the difference.

Claiming causes

Public data shows co-movement, not causation. "Rose alongside" is accurate. "Rose because of" usually is not.

Vague sourcing

"According to official figures" forces a reporter to guess. Name the publisher, the table and the date.

Publishing once and walking away

A page that is never updated looks stale in year two. Write the update calendar at the start and name an owner.

Overreaching

Saying more than the data supports does more damage than one wrong cell. When you are unsure, state plainly that the data does not answer the question.

A first project in four weeks

Keep the first attempt small. This plan suits a small team and a single story. Durations vary; the order does not.

1. Week one: shortlist three topics, check each one's dataset, reuse terms and release schedule, and choose one.
2. Week two: write the question in a sentence, download and clean the data, run the calculations and have a colleague reproduce the headline number.
3. Week three: build the charts and data page, write the method note and draft the one-page summary.
4. Week four: assemble the recipient list, prepare regional versions, send, and log responses and coverage.
5. Through the year: watch the release calendar, check for revisions and put the next update in the diary.

Frequently asked questions

What should I check first when using public data for content?

The reuse terms. Eurostat's copyright notice says its statistical data, metadata and publications can be reused for commercial or non-commercial purposes if the source is acknowledged, that changes must be stated, and that some material falls outside that permission. For TUIK, check the legal notice and data usage pages on the institute's website. If a legal question remains, consult a qualified adviser.

What makes a good question for a data story?

One that fits in a single sentence and has a numeric answer. Rankings, trends, gaps and myth checks work well for reporters. If your finding still makes sense without your company's name, it has news value.

What belongs in method notes?

The dataset title and code, publisher and link, access date, filters, calculations, excluded rows and the limits of the data. If you changed the data, say so and state that the publisher is not responsible for your reuse.

What should I send a journalist?

A short email and a one-page summary: a headline stating the finding, the strongest chart, three or four key findings, a condensed method note, a direct link to the data and a contact. Offer the full report and raw table as links.

How often should I update a data story?

Follow the source series' release schedule, which for many series is yearly. TUIK shows a data release calendar on its home page. Re-pull earlier years at each update, since figures can be revised.

Will this kind of content guarantee links?

No. Whether a publication cites or links to you is its editorial decision. You can only make the work accurate, traceable and easy to cite.

Conclusion

Earning links with public data is steady craft, not a flash of inspiration: pick a dataset that fits your expertise, confirm the terms of reuse early, ask a question you can state in a sentence, verify every number twice, document the method openly and hand reporters a page they can use in two minutes. Updating the story each year carries the first year's links into the following ones. Results cannot be guaranteed, but a project that skips these steps weakens its own odds. Where reuse terms raise a legal question, talk to a qualified adviser; this article is not legal advice.

If you want help turning a data story into a well-sourced, readable article, take a look at our content writing service.