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Վերադառնալ բլոգինGDPR & Համապատասխանություն

Hetazotutyan PII. Screenshotner ev GDPR

Akademiakan hnagirere regularorpen endrkelum en pandas DataFrame-ner ev R ardjunkner, vor tsuyts en karum hivandi iravakan granvutyunnery oryapes methodologiakan orinak: Ayte inchi GDPR khakhtutyun e:

June 5, 20267 րոպե կարդալ
research dataacademic GDPRpublication privacyOCR image detectionArticle 89

Tarmazats e 2026 t.-i hamar — GDPR-i kargevorume hetazotakan khmbnerum aghetsav e: Ay riske sahmanvatsum e hratarakutyunnnerum:

Methodologiakan Screenshot-i Khndal

Bazum akademiakan hnagirner endrkelum en visharkain gortsiqneri screenshotner: Npatakn e tsuyts tanel methodiky: Bayts ay screenshootnerum karoli en pahapakel iravakan andznakan granvutyunner: Hetazotnerum e mets merits ay rishki hamar chas nishum:

Andznakavorape chors saravorakayn depk.

  • Machine learning hnagir tsuyts e talis pandas DataFrame: Aradjin 10 tarkere iravakan hivandi anunner ev ID-ner uni:
  • Klinikakan hetazotutyun tsuyts e R ardjunk: Hivandi arjekner ekranin en: Hivandi ID-nere skahin tsuyts en talis:
  • Sotsialaim gitor hnagir tsuyts e SPSS dzevathughter: Iravakan mardkantsits hetazotutyan pataskhannerevord:
  • Zhurnal hnagir tsuyts e Jupyter notebook: Iravakan user granvutyunner oryapes namushot tarkerer en:

Amenoyr depkum hesabatere nor tsuyts tali methodiky: Andznakan granvutyunnere vorkel el chenin: Nrank uzhakit ay ban er iravacnum el orinakin:

Bayts "vorkel el chy" chen nshanak apahov e: GDPR Article 4(1)-n ums, vor andznakan granvutyunner amenakhndirn nkatutyunnere en nuynyatsvarum andznaynakalum masyakner hamar: Hivandi granvutsian iravakan hratarakutyanum andznakan tekhekatatvutyun e: Kam et screenshootum e, chi nshanakel: Hamadzaynutyan ev GDPR Article 6-i patasghan hamadzayn himqov zantit el talelov nman khakhtutyun e:

Tesc GDPR hamapatutyunay ynthats aknark hratarakutyan kanonneri masin:

Inchi E Ays Iravakan Rishk Steghtsnum

Hetazotakan khmbere ayt pet GDPR kargevorumov en hasnenum: Hratarakutyan tserutyunnere himnakan artahrayichner en: Chors rishk aravelacnum en:

Jurnali verchlucum: Article 17-n aghakanner e jtsnelu iravaunk: Ays tarkave hratarakutyunneri vra nuyev: Erb andzetse tsneri ir masyaksinernen hnagrum, art e kareli xndrelu hatshtsum: Zhurnalin hamar ays hachakhapes veradrut e nshanakel: Vetradrutyune khochum e hetazoti karieri:

Ethical khormbi gtnuumner: Ethical xombere nayarkum en hratarakutyuns: Nrank stougyum en GDPR hamapatutyunen: Nrank sksel en nishanel hnagirner, vor screenshootneri mej tsuyts en tali andznakan granvutyunner: Ay nshumnere apahavumov en ir apagoay ashkhati vra hetazoti:

Tvyalni Mshakutyan Hamagortsutyunay Khokhumu: Hetazotakan tvylnneri karetsmovutsiun Tvylner Mshakutyan Hamagortsutyunneri het e galis: Ay kanonnere tsuyts en talis, inc kareli e hratarakenel: Andznakan granvutyunneri het screenshote karoli e khakhtanavarel hamagortsutyune: Ardjunke hachakhapes tvyalneri hasakautyan koru e:

Article 89-i sahmanner: Article 89-n thuylatrum e andznakan tekhekatatvutyani kchanaputyune gitutyan hamar: Ayn thuylatrume mi qanik kanonner: Bayts miayn petakan safeguards-i depkum: Andznakan granvutyunneri tsuyts-taly screenshootum deanonymizaciai chinov safeguard chi e: Ays khokhum e:

Tesc mer pashtpanutyan ev safeguards eje amben kngijm akunakit:

Inchi Hachakhutyan E Ays Steghtsanum

Ay khndal hivand chi: Ays azdecum e hratarakutyunnerover baz daraser:

Mi qanik gorconyutner lrutyunner en sharznum:

Verchakanutyan normaner: Jurnalere khnum en methodologiakan manyakner: Hetazotnerum ogtagortsnum en screenshottner ay kayqeri pataskhaneloy hamar: Nrank misht chi stougum ameyn patkerum ints en tarbakaranshim:

Khoce bnkagordzutsiun: Dronay ashtxatankayin ar screenshottner: Dzhamanake chi metavum ameyn patker inforats kadiavoryamb nayarkyun andrarkelu:

Tsatsrzr tesaketsiun patkerum: DataFrame-n karoli e 20 stura uni: Anuners ev ID-nere karoli en ajegor stunum: Hetazot nayarkum e himnakan stunn, ochi ID-in:

Nerkatutyun khelyuma chka: Journali portalner format yev plakhyatsrum en: Nrank patkernerern andznakan kostumerer chi stougum: Voronch ban e artserum haynelitsits araj:

Screening Workflow Hetazotakan Khmbnerum

Nakhakimakayin gorcyntsin screening kanarsagortsutyune karoli e artakanel ays khndaler: Ayn uni vots qayler:

  1. Hetazothe lrtsum e manuscriptay apakserd bolor nkarneri het:
  2. Apakserdn gnum e nerkin nayarkoli - PI-in kham andznutyunay kapaky:
  3. Patkerayin PII haysabutsiun karum e manuscript-i bolor patker faileri vra:
  4. Tsuyts e nshanum patker, vor kardarhal andznakan kostumer-i normanerum hamapatuytyunay kirakani text uni:
  5. Hetazothe nayarkum e nshanagruvats patker:
  6. Amenoyr nshanagruvats patker hamar. entakel e taker screenshotov: Pachark patient ID 12847-n ID 00001-i hamar: Iravakan anunnerune aylakyacrel "Patient A-ov:"
  7. Vastak manuscriptn gnum e jurnali mej zart paterneri het:

Texnikakan yntranutsiunnner.

  • Manual. Export manuscript patker: Karum e khmbakain PII haysabutsiun: Nayarkeq tsuyts:
  • Kiskarchetayin avtomatiç: Khtndum e khmbakayin patker draftneri hamar: Karum e khmbakain mshakum sharshararaber nor faileri vra:
  • Workflow-integrated: Avazeluml e screening qayler nerkatutyunay portal:

Screening-n ardzhan e: 15 nkarovi manuscript hamar, patkerayin PII haysabutsiun gnum e erku ropits kam: Veradrut yerer gnum e amiser:

Aytseteq FAQ kham glossary-n haysabumi manyakneri masin:

Depqi Uzumassirumanutyun. Europ Hamalsaran

Mek hetazotakan khmb paperayin manuscript workflow screening elavets: Mershiki misapt artahutytsav popokhutyune: Nayarkutyan tak paper-n hivandi anuner uneer DataFrame-i screenshootum:

Inch arel en.

  • Bolor draft paperere mshakvetsin patkerayin PII-i hamar, skesbats journal hratarakutyunitsits araj:
  • Screening lynem er bolor PNG, JPG yev PDF nkarer ameynur drafti mej:
  • Andznutyunay kapaky nayarkelel e ardjunkner:

Ardjunkner vots amsov.

  • 23 manuscript screening:
  • 7 manuscript (30%) unein gonerats mek patker andznakan kostumereri het:
  • Gtsnvats takeren. hivandi anuner DataFramennerum (4 paper):
  • User ID-ner, vor hamapatetsnum en hivandi normanerum (2 paper):
  • Email hasceanner screenshootay seghinerum (1 paper):
  • Bolor 7-n kargavoretsav skesbats nerkatutsyunich araj:
  • Zero khetarkayin patahanchi khndanerits heto nerkatutsyunich:

Ethical khombe ayt et workflow-n tsuyts e talis oryapes hamapatakan "petakan safeguard" Article 89-i nerqo: Ayn astunum e khmbi art hetazotakan batsayutyan darimatsakan:

Kardateq hashvari haydatararamutyune haskanalev, te inchi e karructvel anonym.legal-n:

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We update this page when our platform or the law changes.

Read our founder note for how we work.

Each change shows up in the timestamp at the top.

Related reading

We follow these rules

  • GDPR (EU 2016/679).
  • ISO/IEC 27001:2022.
  • NIS2 (EU 2022/2555).
  • HIPAA safe harbor under 45 CFR § 164.514(b)(2).

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We do not sell your data.

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How we test

We run a full check suite on every release.

Each surface gets its own sweep script and report.

Human reviewers spot-check the output each week.

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Bad runs block the deploy.

What we never do

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We sell credits, not seats.

One credit covers one short job.

Long jobs use a few credits each.

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Read the plans page for current rates.

Who built this

A small team of engineers and lawyers built this.

We ship from Europe and work in the open.

Our founder note spells out why we started.

Where to start

How the parts fit

A browser add-on cleans text inside Chrome.

A Word plug-in handles drafts in Office.

A small desktop tool works on whole folders.

An agent protocol link feeds large models safely.

All four share one core engine and one rule set.

Words from our team

We started this work after a lunch about cookies.

One friend kept getting odd ads on her phone.

We asked why a court file leaked through a draft.

We sketched the first build on a napkin that week.

By month three we had a tiny demo for a friend.

She used it on her first case the next day.

Common questions we hear

Can the tool read scanned PDFs? Yes, with OCR.

Does it work on long files? Yes, in small chunks.

Can I roll my own rule set? Yes, save it as a preset.

Does it run offline? The desktop build runs offline.

Do you keep my files? No, the cloud build wipes after each run.

Will it learn from my work? No, we never train on inputs.

A short tour of the workflow

Upload a file or paste a snippet of prose.

Pick the entities you want gone from the draft.

Choose a method: replace, mask, hash, encrypt, or redact.

Press run and watch the side panel show each hit.

Skim the result and tweak any rule that misfired.

Save the cleaned file or send it to a teammate.