Contemporary science journalism is determined by the way people, projects and resources are combined to transform complex research into credible public information katherineharmon.com. In my portfolio, every assignment commences with a clear brief, a collection of named sources and a verified trail of data, because viewers in the United Kingdom demand both accuracy and transparency. The following sections describe how I choose stories, handle collaborations, utilize specialist tools, handle ethical questions and keep records that endure editorial scrutiny. Viewers will discover concrete details on procedures, typical costs and the everyday choices that determine each published article.
Navigating Open Access and Data-Sharing Policies
Following the publication of the UK government’s 2021 open-access framework, most publicly funded research papers must be available under a Creative Commons licence within twelve months. I manage a bookmark folder of institutional repositories and the Europe PubMed Central feed, which together reveal approximately 70 percent of papers cited in my stories before they appear in print. When a paper remains behind a paywall, I utilize 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 highlight secondary endpoints that were not statistically powered.
Expenses and Time Implications
Article processing charges for open-access journals typically vary from £1 500 to £4 500, figures that appear on the journal website before submission. When a paper is only available through a read-and-publish agreement negotiated by Jisc, I mention 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”.
FAQ
How do you choose which scientific papers are worth covering for a UK audience?
I rate each paper on relevance to current UK policy, presence of primary data and possible impact on readers’ daily lives. Only papers that achieve a minimum score advance to a one-page treatment that outlines required evidence and expert voices. The scoring sheet remains with the assignment from pitch to publication.
What actions do you take to confirm a new source’s credentials?
Each contact is reviewed against their institutional page and recent publications in PubMed or Web of Science. Any industry funding or advisory roles are documented in a private file and mentioned in the article if relevant. The file is assessed quarterly to keep details current.
Which tools do you use for data cleaning and version control?
Large datasets are processed in R or Python’s pandas library, with every transformation logged in a plain-text log. Manuscripts are composed 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 logged on a public corrections page with the original wording and the correction. If the change exceeds five percent or changes a finding’s direction, the publisher’s corrections desk is also notified. Most clarifications are addressed within ten days.
What occurs to interview transcripts and datasets after a story is published?
Articles are archived as PDF/A files and backed up off-site. Supplementary material such as transcripts or analysis scripts is deposited in Zenodo with a DOI. Datasets that cannot be disclosed for privacy reasons obtain a metadata record pointing to the custodian’s access procedure.
Do you ask payment readers to access your published articles?
No. All articles are published in outlets that provide open access or are placed behind a publisher paywall that libraries can handle through Jisc agreements. I do not operate a separate subscription site or place articles behind an additional paywall.
Moral Decision-Making in Routine Practice
Ethical issues emerge most frequently around patient accounts, commercial sponsorship and the use of unpublished photos. For patient narratives I secure written consent that outlines the level of identification permitted, and I keep the form separately from the interview transcript. When a company provides early access to a device or dataset, 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 captured at laboratories are approved with the press office, and any image that displays an individual’s face is supplemented by a model-release form even if the person is a researcher rather than a patient.
Managing Corrections and Clarifications
Errors are logged in a public corrections page on my platform, with the date of the original post, the incorrect statement and the corrected language. If the mistake modifies a numerical value by more than 5 percent or alters the direction of a finding, I also alert the publisher’s corrections desk and ask that the change be recorded in the online version. This practice has contributed in three published clarifications over four seasons, each settled within ten days of the original publication date.
Storage, Acknowledgment and Long-term Access
Released articles are downloaded as PDF/A files within 48 hours and kept in a local archive that is backed up to an off-site encrypted drive. Each file is named with the ISO date, outlet and slug, allowing quick location when a reader requests a citation years later. I also deposit supplementary material such as interview transcripts or analysis scripts in the Zenodo community “Science Journalism UK”, which assigns a DOI and guarantees availability for at least twenty years. When a story relies on a dataset that cannot be disclosed for privacy reasons, I record a metadata record that outlines the variables and references the custodian’s access procedure.
Credit Language for Secondary Sources
Secondary sources such as systematic reviews or government statistical releases are framed 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 allows readers to assess recency without hunting through footnotes and minimises the risk of attributing a finding to an individual researcher when the work was in fact collaborative.
Establishing and Maintaining Source Networks
Dependable reporting depends on a recorded network of scientists, clinicians, statisticians and press officers who respond within set time frames. I maintain a contact file that notes each person’s institutional affiliation, publication record and chosen channel, whether that is an institutional email or a validated Signal number. Before any interview I provide a one-paragraph description of the angle, the planned publication and the deadline, which reduces back-and-forth and demonstrates respect for the source’s schedule. After publication I include a short note on how the interview was used, allowing future queries to be specific rather than generic. The file is checked every quarter so that retired researchers are replaced and new group leaders at institutes such as the Francis Crick Institute or the UK Atomic Energy Authority are incorporated while their work is still in preprint.
Verifying Credentials and Preventing Conflicts
Each new contact is verified against the institutional website and recent peer-reviewed papers shown in PubMed or Web of Science. If a researcher has obtained funding from a company whose product features in the story, that fact is noted in the same file and revealed in the article. I also note when a source has previously advised government committees, because such experience can offer context but must not be portrayed as independent commentary. This running ledger stops the common error of quoting the same small circle of voices and guarantees that readers get a balanced range of perspectives.
Selecting Projects That Serve a UK Readership
Project selection starts with an assessment of relevance to readers who monitor policy decisions issued by Westminster and research programmes funded by UK Research and Innovation. I manage a rolling list of fifteen topic areas, ranging from antimicrobial resistance surveillance by the UK Health Security Agency to offshore wind deployment targets defined by the Department for Energy Security and Net Zero. Each candidate story is rated for timeliness, availability of primary data and potential to affect daily life, such as changes in energy bills or medicine supply. Stories that rate above an internal threshold advance to a one-page treatment detailing the central claim, the evidence required and the expert voices needed to test it. This scoring sheet accompanies the assignment from pitch to publication, providing editors a transparent audit trail.
Key Tools for Data Management and Fact Verification
Each dataset that is introduced into a story is stored into a local repository with file-naming conventions that include the source URL, retrieval date and checksum. I utilize R for initial cleaning when the file goes beyond 10 000 rows, and Python’s pandas library when joins across multiple tables are necessary. A separate plain-text log tracks each transformation step so that an editor or an interested reader can duplicate the figures. For statistical claims I consult the original paper’s supplementary information and, where possible, the analysis code deposited in repositories such as Zenodo. When numbers show up in press releases without underlying data, I ask for the raw spreadsheet through the institution’s freedom-of-information route and record the reference number in the story’s endnotes.
Version Control and Editorial Transfer
Manuscripts are drafted in plain Markdown inside a private Git repository. Each commit message contains the working headline, the word-count target and the initials of any colleague who has checked a section. Branches are named by story slug and close after publication, preserving a complete record of changes requested 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 emerges months later.