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Expediente

Proporcionar una suscripción anual a las bases de datos: Academic Search Complete Fuente Académica Premier Medline Complete SMART Imagebase y Medic Latina

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RECORD SUMMARY ocds-0ud2q6-CNB/001/2013

Total amount

325,000

Number of contracts

Buying unit

COMISIÓN NACIONAL DE BIOÉTICA belonging to Comisión Nacional de Bioética

PLANNING

No data

CALL FOR TENDERS

Government agency

Comisión Nacional de Bioética

Buying unit

COMISIÓN NACIONAL DE BIOÉTICA

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code CNB/001/2013

Title

Proporcionar una suscripción anual a las bases de datos: Academic Search Complete Fuente Académica Premier Medline Complete SMART Imagebase y Medic Latina

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Supplier(s)

EBSCO México S.A. de C.V.

Amount

325,000 pesos mexicanos

Award status

active

Signature date

7 de enero de 2013

Execution period

7 de enero de 2013 to 31 de diciembre de 2013

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

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R (json)

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-CNB%2F001%2F2013")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-CNB%2F001%2F2013')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-CNB%2F001%2F2013')

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Proporcionar una suscripción anual a las bases de datos: Academic Search Complete Fuente Académica Premier Medline Complete SMART Imagebase y Medic Latina

RECORD SUMMARY ocds-0ud2q6-CNB/001/2013

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

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