Modern science journalism is defined by the way people, projects and resources are merged to convert complex research into reliable public knowledge. In my portfolio, every assignment begins with a concise brief, a set of named sources and a recorded trail of data, because readers in the United Kingdom demand both precision and transparency. The subsequent sections describe how I select stories, handle collaborations, employ specialist tools, handle ethical questions and keep records that stand up to editorial scrutiny. Readers will locate tangible details on workflows, average costs and the everyday choices that influence each published article.

Choosing Projects That Cater to a UK Readership

Project selection begins with an assessment of relevance to readers who monitor policy decisions taken in Westminster and research programmes funded by UK Research and Innovation. I manage a rolling list of fifteen topic areas, covering antimicrobial resistance surveillance by the UK Health Security Agency to offshore wind deployment targets set by the Department for Energy Security and Net Zero. Each candidate story is evaluated for timeliness, availability of primary data and potential to impact daily life, such as changes in energy bills or medicine supply. Stories that rate above an internal threshold progress to a one-page treatment outlining the central claim, the evidence required and the expert voices needed to validate it. This scoring sheet travels with the assignment from pitch to publication, giving editors a transparent audit trail.

Essential Tools for Data Handling and Fact Verification

Each dataset that enters a story is stored into a local repository with file-naming conventions that feature the source URL, retrieval date and checksum. I employ R for initial cleaning when the file exceeds 10 000 rows, and Python’s pandas library when joins across multiple tables are necessary. A separate plain-text log records each transformation step so that an editor or an interested reader can reproduce the figures. For statistical claims I check the original paper’s supplementary information and, where possible, the analysis code deposited in repositories such as Zenodo. When numbers appear in press releases without underlying data, I seek the raw spreadsheet through the institution’s freedom-of-information route and mention the reference number in the story’s endnotes.

Revision Control and Editorial Handover

Manuscripts are composed in plain Markdown inside a private Git repository. Each commit message includes the working headline, the word-count target and the initials of any colleague who has reviewed a section. Branches are named by story slug and close after publication, keeping a complete record of changes demanded by editors at outlets such as New Scientist or BBC Science. This system prevents accidental overwrites during late-stage edits and enables rapid retrieval of an earlier paragraph if a legal query arises months later.

Building and Sustaining Source Networks

Reliable reporting hinges on a established network of scientists, clinicians, statisticians and press officers who react within specified time frames. I maintain a contact file that records each person’s institutional affiliation, publication record and preferred channel, whether that is an institutional email or a verified Signal number. Before any interview I provide a one-paragraph description of the angle, the planned publication and the deadline, which minimizes back-and-forth and demonstrates respect for the source’s schedule. After publication I add a short note on how the interview was used, allowing future queries to be specific rather than generic. The file is reviewed every quarter so that retired researchers are substituted and new group leaders at institutes such as the Francis Crick Institute or the UK Atomic Energy Authority are added while their work is still in preprint.

Confirming Credentials and Evading Conflicts

Each new contact is cross-checked against the institutional website and recent peer-reviewed papers found in PubMed or Web of Science. If a researcher has secured funding from a company whose product shows up in the story, that fact is noted in the same file and revealed in the article. I also note when a source has previously counseled government committees, because such experience can offer context but must not be presented as independent commentary. This running ledger avoids the common error of quoting the same small circle of voices and ensures that readers receive a balanced range of perspectives.

Navigating Open Access and Data-Sharing Rules

Following the publication of the UK government’s 2021 open-access policy, most publicly funded research papers need to be available under a Creative Commons licence within twelve months. I keep a bookmark folder of institutional repositories and the Europe PubMed Central feed, which together surface approximately 70 percent of papers cited in my stories before they appear in print. When a paper remains behind a paywall, I use the author’s accepted manuscript, clearly labelled as such, and link to the version of record once it is released. For clinical trial data, I check the registry record on ISRCTN or ClinicalTrials.gov to confirm primary outcome measures before quoting efficacy percentages, because press releases sometimes stress secondary endpoints that were not statistically powered.

Financial Implications and Time Implications

Article processing charges for open-access journals typically span from £1 500 to £4 500, figures that appear on the journal website before submission katherineharmon.com. When a paper is only available through a read-and-publish agreement negotiated by Jisc, I note the licence type in the story’s reference list so readers know they can access the full text without payment. These administrative details rarely appear in the final article, yet they influence whether a claim can be linked directly to primary evidence or must be qualified with the phrase “according to a pre-print server”.

Moral Decision-Making in Everyday Practice

Ethical issues emerge most often around patient accounts, commercial sponsorship and the use of unpublished photos. For patient narratives I secure written consent that details the level of identification allowed, and I keep the form separately from the interview transcript. When a company offers early access to a device or data set, I require a written statement that no editorial control is associated; the statement is filed with the project notes and summarised in the published article if the material influences the central claim. Photographs shot at laboratories are approved with the press team, and any image that shows an individual’s face is supplemented by a model-release form even if the person is a researcher rather than a patient.

Handling Corrections and Clarifications

Errors are recorded in a public corrections area on my platform, with the date of the original piece, the incorrect statement and the corrected text. If the mistake changes a numerical value by more than 5 percent or shifts the direction of a result, I also alert the publisher’s corrections desk and seek that the change be noted in the online version. This practice has resulted in three published clarifications over four seasons, each resolved within ten days of the original publication date.

Preservation, Credit and Long-Term Access

Released articles are retrieved as PDF/A files within 48 hours and archived in a local archive that is secured to an off-site encrypted drive. Each file is labelled with the ISO date, outlet and slug, allowing rapid location when a reader seeks a citation years later. I also place supplementary material such as interview transcripts or analysis scripts in the Zenodo community “Science Journalism UK”, which issues a DOI and assures availability for at least twenty years. When a story depends on a dataset that cannot be shared for privacy reasons, I store a metadata record that outlines the variables and references the custodian’s access procedure.

Attribution Language for Secondary Sources

Secondary sources such as systematic reviews or government statistical releases are presented with a short clause that specifies the producing organisation and the publication date. For example, “Office for National Statistics data released on 14 March 2024 show…” This format enables readers to evaluate recency without searching through footnotes and minimises the risk of assigning a finding to an individual researcher when the work was in fact collaborative.

FAQ

How do you decide which scientific papers are worth covering for a UK audience?

I evaluate each paper on pertinence to current UK policy, availability of primary data and possible impact on readers’ daily lives. Only papers that reach a minimum score move to a one-page treatment that lists required evidence and expert voices. The scoring sheet accompanies with the assignment from pitch to publication.

Which measures do you take to validate a new source’s credentials?

Each contact is verified against their institutional page and recent publications in PubMed or Web of Science. Any industry funding or advisory roles are recorded in a private file and mentioned in the article if relevant. The file is reviewed quarterly to keep details current.

Which tools do you use for data cleaning and version control?

Large datasets are refined in R or Python’s pandas library, with every transformation documented in a plain-text log. Manuscripts are drafted in Markdown inside a private Git repository so that editors can see the complete change history and earlier versions can be recovered if needed.

How do you handle corrections after publication?

Errors are registered on a public corrections page with the original wording and the correction. If the change goes beyond five percent or changes a finding’s direction, the publisher’s corrections desk is also alerted. Most clarifications are addressed within ten days.

What happens to interview transcripts and datasets after a story is published?

Articles are archived as PDF/A files and saved off-site. Supplementary material such as transcripts or analysis scripts is placed in Zenodo with a DOI. Datasets that cannot be released for privacy reasons receive a metadata record pointing to the custodian’s access procedure.

Do you require payment readers to access your published articles?

No. All articles appear in outlets that offer open access or are placed behind a publisher paywall that libraries can manage through Jisc agreements. I do not run a separate subscription site or position articles behind an additional paywall.