get_notice

Get the full detail of one Doffin notice by id (e.g. "2026-103178").

Signature: get_notice(notice_id: string, required; include_form_details: yes/no, optional, default False; limit: integer, items, optional, default 25; offset: integer, items, optional, default 0)

Direct GET

For navigating agents: open the HTML page with parameters in the URL. The result is fetched and displayed without screenshots or form filling.

Open this validated HTML GET URL

https://allemannsdata.com/wiki/kilder/doffin/get_notice/?notice_id={notice_id}&include_form_details=false&limit=25&offset=0

Replace {notice_id}, {include_form_details} with values. Remove unused optional parameters from the URL.

For software and dashboards: Read the operation descriptor. The JSON GET template is https://allemannsdata.com/wiki/api/v1/kilder/doffin/get_notice?notice_id={notice_id}&include_form_details=false&limit=25&offset=0. Open this exact request as JSON.

Parameter	Requirement	JSON type	Description
`notice_id`	required	string	Doffin notice id from search_doffin results.
`include_form_details`	optional	boolean	Also return the complete published eForm as a section tree (procedure details, award criteria, lots, winner and value on RESULT notices...). Large; only request it when the summary fields aren't enough.
`limit`	optional	integer	Gateway page size; default 25, maximum 100.
`offset`	optional	integer	Number of list items to skip; default 0.

Generated JavaScript, Python and response structure

Use JSON when the user requests code, machine-readable data, value extraction or further computation. Use the HTML GET page to identify the correct source and verify parameters.

Example for generated JavaScript and Python

https://allemannsdata.com/wiki/api/v1/kilder/doffin/get_notice?notice_id={notice_id}&include_form_details=false&limit=25&offset=0

Replace URL placeholders and remove unused optional parameters.

JavaScript in a dashboard

const url = "https://allemannsdata.com/wiki/api/v1/kilder/doffin/get_notice?notice_id={notice_id}&include_form_details=false&limit=25&offset=0";
const response = await fetch(url);
if (!response.ok) {
  const failure = await response.json();
  throw new Error(`${failure.error.code}: ${failure.error.message} ${failure.suggestion}`);
}
const result = await response.json();
const data = result.data;

Python without additional packages

import json
from urllib.request import urlopen

url = "https://allemannsdata.com/wiki/api/v1/kilder/doffin/get_notice?notice_id={notice_id}&include_form_details=false&limit=25&offset=0"
with urlopen(url) as response:
    result = json.load(response)
data = result["data"]

Response structure

{
  "source": "doffin",
  "operation": "get_notice",
  "parameters": {},
  "data": {},
  "entities": [],
  "_meta": {"retrieved_at": "...", "sources": [], "cache": {}},
  "_links": {"self": "...", "source": "...", "wiki": "...", "feedback": "..."}
}

Form for manual use

The form is a fallback for people and browser agents that cannot open the GET URL directly.

Result

Source: Doffin and TED. Retrieved 2026-09-23T16:22:30Z in 0.235 seconds.

id:

2024-106682

eFormId:

34a74807-8898-4722-bf46-0b8665ef74a8

procedureId:

ff75899e-5965-4aea-8e42-a33cc778c4d0

heading:

Bruk av grafteori og AI i korreksjon av nettverksdata, risikovurdering og hydraulisk modellering

description:

Intensjonskunngjøring - Bruk av grafteori og AI i korreksjon av nettverksdata, risikovurdering og hydraulisk modellering Det stilles krav til vannverkseiere og kommuner om leveransekapasitet, herunder vannstrøm/mengde og sikring av brannvannskapasitet. Dersom tillatt brannvannsuttak er feil beregnet, kan overtapping medføre et større trykktap i forsyningsnettet enn ønsket, og øke risikoen for kontaminering av drikkevannet. For å sikre dette er det behov for å etablere og vedlikeholde hydrauliske vannmodeller. For å kunne gjennomføre modelleringen, må kommuner og vannverk forberede sine nettverksdata. Dette er en tidkrevende oppgave, da det ofte er utfordringer knyttet til datakvaliteten i underlaget. Orkland kommune har til hensikt å kjøpe tjenester som ved bruk av spesielt utviklet teknologi gi oss mulighet til å identifisere feil i nettverksdata automatisk. Teknologien som skal implementeres benytter grafteori og maskinlæringsmetoder. Programvaren samler, prosesserer, korrelerer og presenterer data fra sensorer, kontrollsystemer, geografiske data og åpne data (vær og hydrologi). En korrigert nettverksmodell kan benyttes videre i hydraulisk modellering. Orkland kommune har til hensikt å inngå direkte avtale med InfoTiles AS dersom denne intensjonskunngjøringen ikke avdekker at det er andre leverandører som kan levere tilsvarende. Oppdragsgiver har vurdert markedet for slike tjenester/produkter og har kommet frem til at den eneste leverandøren som tilfredsstiller våre kriterier er InfoTiles AS. Eventuelle innvendinger til denne kontraktinngåelsen må meldes inn til oppdragsgiver senest 03.06.2024 Prosjektet gjennomføres i regi av FHI sitt ``Program for teknologiutvikling i vannbransjen``.

buyer:

1 results

id:
921 233 418
name:
Orkland Kommune

location_id:

1 results

anyw

placeOfPerformance:

Ikke stedbunden

issueDate:

2024-05-06T08:35:21Z

deadline:

not reported by source

qualificationDeadline:

not reported by source

noticeType:

ANNOUNCEMENT_OF_INTENT

allTypes:

2 results

ANNOUNCEMENT_OF_INTENT
RESULT

allCpvCodes:

65000000

directCpvCodes:

65000000

parentCpvCodes:

noticeStatus:

not reported by source

allReceivedTenders:

not reported by source

preferredPublicationDateTed:

not reported by source

plannedDateTed:

not reported by source

competitionDocsUrl:

not reported by source

sentToTed:

yes

regulationUrl:

https://lovdata.no/dokument/SF/forskrift/2016-08-12-975?q=forsyningsforskriften

core:

estimatedValue:: not reported by source
mainActivity:: not reported by source

eform:

6 results

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Prosedyre
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  Bruk av grafteori og AI i korreksjon av nettverksdata, risikovurdering og hydraulisk modellering
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  Intensjonskunngjøring - Bruk av grafteori og AI i korreksjon av nettverksdata, risikovurdering og hydraulisk modellering Det stilles krav til vannverkseiere og kommuner om leveransekapasitet, herunder vannstrøm/mengde og sikring av brannvannskapasitet. Dersom tillatt brannvannsuttak er feil beregnet, kan overtapping medføre et større trykktap i forsyningsnettet enn ønsket, og øke risikoen for kontaminering av drikkevannet. For å sikre dette er det behov for å etablere og vedlikeholde hydrauliske vannmodeller. For å kunne gjennomføre modelleringen, må kommuner og vannverk forberede sine nettverksdata. Dette er en tidkrevende oppgave, da det ofte er utfordringer knyttet til datakvaliteten i underlaget. Orkland kommune har til hensikt å kjøpe tjenester som ved bruk av spesielt utviklet teknologi gi oss mulighet til å identifisere feil i nettverksdata automatisk. Teknologien som skal implementeres benytter grafteori og maskinlæringsmetoder. Programvaren samler, prosesserer, korrelerer og presenterer data fra sensorer, kontrollsystemer, geografiske data og åpne data (vær og hydrologi). En korrigert nettverksmodell kan benyttes videre i hydraulisk modellering. Orkland kommune har til hensikt å inngå direkte avtale med InfoTiles AS dersom denne intensjonskunngjøringen ikke avdekker at det er andre leverandører som kan levere tilsvarende. Oppdragsgiver har vurdert markedet for slike tjenester/produkter og har kommet frem til at den eneste leverandøren som tilfredsstiller våre kriterier er InfoTiles AS. Eventuelle innvendinger til denne kontraktinngåelsen må meldes inn til oppdragsgiver senest 03.06.2024 Prosjektet gjennomføres i regi av FHI sitt ``Program for teknologiutvikling i vannbransjen``.
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  ff75899e-5965-4aea-8e42-a33cc778c4d0
  sections:
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  block020105
  sectionId:
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  Intern identifikator
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  05_24
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  Type prosedyre
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  label:
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  title:
  block02010906
  sectionId:
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  label:
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  useLabelAsValue:
  yes
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  block02010907
  sectionId:
  not reported by source
  label:
  Tilleggsinformasjon
  useLabelAsValue:
  no
  value:
  Orkland kommune
  sections:
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  sectionId:
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  no
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  block02011002
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block04
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label:
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  sectionId:
  not reported by source
  label:
  Beskrivelse: __________
  useLabelAsValue:
  no
  value:
  Intensjonskunngjøring - Bruk av grafteori og AI i korreksjon av nettverksdata, risikovurdering og hydraulisk modellering Det stilles krav til vannverkseiere og kommuner om leveransekapasitet, herunder vannstrøm/mengde og sikring av brannvannskapasitet. Dersom tillatt brannvannsuttak er feil beregnet, kan overtapping medføre et større trykktap i forsyningsnettet enn ønsket, og øke risikoen for kontaminering av drikkevannet. For å sikre dette er det behov for å etablere og vedlikeholde hydrauliske vannmodeller. For å kunne gjennomføre modelleringen, må kommuner og vannverk forberede sine nettverksdata. Dette er en tidkrevende oppgave, da det ofte er utfordringer knyttet til datakvaliteten i underlaget. Orkland kommune har til hensikt å kjøpe tjenester som ved bruk av spesielt utviklet teknologi gi oss mulighet til å identifisere feil i nettverksdata automatisk. Teknologien som skal implementeres benytter grafteori og maskinlæringsmetoder. Programvaren samler, prosesserer, korrelerer og presenterer data fra sensorer, kontrollsystemer, geografiske data og åpne data (vær og hydrologi). En korrigert nettverksmodell kan benyttes videre i hydraulisk modellering. Orkland kommune har til hensikt å inngå direkte avtale med InfoTiles AS dersom denne intensjonskunngjøringen ikke avdekker at det er andre leverandører som kan levere tilsvarende. Oppdragsgiver har vurdert markedet for slike tjenester/produkter og har kommet frem til at den eneste leverandøren som tilfredsstiller våre kriterier er InfoTiles AS. Eventuelle innvendinger til denne kontraktinngåelsen må meldes inn til oppdragsgiver senest 03.06.2024 Prosjektet gjennomføres i regi av FHI sitt ``Program for teknologiutvikling i vannbransjen``.
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  Orkland kommune
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title:
block05
sectionId:
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label:
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useLabelAsValue:
no
value:
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sections:
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  LOT-0000
  sections:
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  title:
  block050902
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  label:
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  sections:
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  title:
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title:
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Virksomheter
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  Registreringsnummer
  useLabelAsValue:
  no
  value:
  921 233 418
  sections:
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  Postadresse
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  Postboks 83
  sections:
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  title:
  block060107
  sectionId:
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  label:
  By
  useLabelAsValue:
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  value:
  Orkanger
  sections:
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  title:
  block060108
  sectionId:
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  label:
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  7301
  sections:
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  label:
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  Norge
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  value:
  Dario Leko
  sections:
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  dario.leko@orkland.kommune.no
  sections:
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  label:
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  no
  value:
  +47 72 46 73 00
  sections:
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  sectionId:
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  label:
  Rollene til denne virksomheten
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  sections:
  7 results
  title:
  block06011901
  sectionId:
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  label:
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  sections:
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  title:
  block06011904
  sectionId:
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  label:
  Virksomhet som gir tilleggsinformasjon om anskaffelsesprosedyren
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  no
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  title:
  block06011914
  sectionId:
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  label:
  Virksomhet som signerer kontrakten
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  no
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  sectionId:
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  label:
  Vinner av disse delkontraktene
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  sections:
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2. title:
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  ORG-0002
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  no
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  Registreringsnummer
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  no
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  926 722 794
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  no
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  Postboks 2317 Torgarden
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  not reported by source
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  block060107
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  By
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  no
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  label:
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  no
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  7004
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  not reported by source
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  Underenhet i land
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  no
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  Trøndelag (NO060)
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  not reported by source
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  block060110
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  not reported by source
  label:
  Land
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  no
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  Norge
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  not reported by source
  title:
  block060112
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  not reported by source
  label:
  E-post
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  no
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  trondelag.tingrett@domstol.no
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  not reported by source
  title:
  block060113
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  not reported by source
  label:
  Telefon
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  no
  value:
  73 54 24 00
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  not reported by source
  title:
  block060115
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  label:
  Internett-adresse
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  no
  value:
  https://www.domstol.no/no/domstoler/tingrett/trondelag-tingrett/
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  block060119
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  no
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  not reported by source
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  no
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  Virksomhet som gir tilleggsinformasjon om anskaffelsesprosedyren
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  no
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  Virksomhet som gjennomfører klagebehandling
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  no
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  Virksomhet som signerer kontrakten
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  no
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  no
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  Vinner av disse delkontraktene
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  no
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  LOT-0000
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  Vinneren er notert på et regulert marked
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  no
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3. title:
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  sections:
  7 results
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  no
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  InfoTiles AS
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  By
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  no
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  Stavanger
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  Land
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  no
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  Norge
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  E-post
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  Telefon
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  no
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  906 19 364
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  block060119
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  Rollene til denne virksomheten
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  no
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  not reported by source
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  label:
  Kjøper
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  no
  value:
  not reported by source
  sections:
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  label:
  Virksomhet som gir tilleggsinformasjon om anskaffelsesprosedyren
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  no
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  label:
  Virksomhet som gjennomfører klagebehandling
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  no
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  not reported by source
  sections:
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  title:
  block06011914
  sectionId:
  not reported by source
  label:
  Virksomhet som signerer kontrakten
  useLabelAsValue:
  no
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  not reported by source
  sections:
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  title:
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  not reported by source
  label:
  Tilbyder
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  no
  value:
  not reported by source
  sections:
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  title:
  block06011920
  sectionId:
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  label:
  Vinner av disse delkontraktene
  useLabelAsValue:
  no
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  LOT-0000
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  block06011921
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  Vinneren er notert på et regulert marked
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  no
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  not reported by source
title:
block08
sectionId:
11
label:
Kunngjøringsinformasjon
useLabelAsValue:
no
value:
not reported by source
sections:
2 results
1. title:
  block0801
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  11.1
  label:
  Kunngjøringsinformasjon
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  no
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  not reported by source
  sections:
  5 results
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  Varselidentifikator/-versjon
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  no
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  34a74807-8898-4722-bf46-0b8665ef74a8 01
  sections:
  not reported by source
  title:
  block080102
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  not reported by source
  label:
  Type skjema
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  no
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  Forhåndskunngjøring av direkte tildeling
  sections:
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  title:
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  label:
  Type varsel
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  no
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  Frivillig intensjonskunngjøring
  sections:
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  title:
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  not reported by source
  label:
  Varsel utsendelsesdato
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  no
  value:
  06.05.2024 10:35
  sections:
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  title:
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  label:
  Språk der denne kunngjøringen er offisielt tilgjengelig
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  no
  value:
  norsk, English
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  not reported by source
2. title:
  block0802
  sectionId:
  11.2
  label:
  Informasjon om publisering
  useLabelAsValue:
  no
  value:
  not reported by source
  sections:
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awardedNames:

InfoTiles AS

changeNotices:

not reported by source

limitedDataFlag:

publicationDate:

2024-05-07

tedId:

not reported by source

procurementTimeline:

1 results

id:
2024-106682
allType:
2 results
1. ANNOUNCEMENT_OF_INTENT
2. RESULT
publicationDate:
2024-05-07
selectedNotice:
yes

procurementStrategicLabels:

No results.

lotsNumber:

doffin_url:

https://doffin.no/notices/2024-106682

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