Institutional Data Collections

Available data at IFE Data Hub facilitates research execution at Tecnologico de Monterrey. The IFE Data Hub benefits researchers by providing one access point for acquiring validated educational data, ensuring a continuous review process of data integrity, confidentiality, and accessibility. Additionally, we provide support to researchers by helping them to answer their questions with the owners of each of our collections.

We offer more than nine different collections of educational data related to students, professors, courses, and others in the same place.

Explore our collections, find what you need, and request all the educational data you need from to perform your educational research at the IFE Data Hub.

Not a member of Tecnologico de Monterrey?

Find researchers eager to collaborate in national and international educational research at our institutional portal, Research@Tec.

Research@Tec

How to access Datasets?

To get access to private datasets, it is necessary to follow a 4 step process including, filling out a data request form, selecting variables of interest from the Data Dictionary, and signing the Terms of use. Afterwards an estimate of time for the delivery of the dataset will be given. These 4 steps will be detailed descripted below.

To process your request, it is necessary to fill out the following form with your data in order to properly identify you. The form can be downloaded here.

The data required in this form are:

Personal information of the principal investigator
Declarations of conflict of interest
General details of the required dataset
Signature of the responsible investigator.

The Data Dictionary, which presents the variables that make up the dataset, is provided in a file with a postfix Dictionary_Data teaser on the Files menu.

In the Dictionary tab of each collection, mark with an X in column A (Required data) the data you want to request and filter it in column F (Filter) to delimit the data according to the characteristics you require (for example: delimit certain demographic characteristics, period of time, qualifications, academic programs, etc.).

Before getting access to the requested dataset a document with the Data Hub Terms of Use will be sent by e-mail. This document must be signed to get access to our data.

The required documentation must be sent to ife.datahub@servicios.tec.mx and depending on the characteristics of the request, an estimated time for processing the request will be provided. The Data Hub will track these requests, answer questions, and inform the requester of the status of their request via email.

Our Data Sets

Every collection is reviewed periodically with the assistance of data stewards and subject matter-experts, who support our efforts to ensure ensure data accessibility, integrity, confidentiality, and availability for research.

This collection has anonymized information related to undergraduate, master's and doctoral students from 1996 to 2021 who have completed their studies in Tecnologico de Monterrey. Among the categories of information available in this collection are:

Sociodemographic information (age, gender, place of origin).
Academic information related to the student (academic status, academic level, program, average, exchanges, subjects studied).
Academic history (e.g. type of school, region, national/international, Tec system).
Information related to students' scholarship (amount, type of scholarship)
Information related to Campus.
Information associated with scores on admission tests (PAA, TOEFL, other initial assessments).

For more information:
DOI: 10.57687/FK2/WBUMFC

This collection allows access to anonymized information related to the different exams taken by undergraduate, master's and doctoral students. Among the categories of data available in this collection are:

Different types of exams (admission, languages, school).
Characteristics of the exam application (date).
Characteristics of the exam (general score, score by sections).

For more information:
DOI: 10.57687/FK2/H4FOCI

Interested in more collections?

Get access to our latest Tecnológico de Monterrey’s open research data.

Research Data Hub

EXL Naming Convention

Data collections are described through a data dictionary and a data teaser (spreadsheet with a brief data sample). In both cases, variables are named using the Education eXchange Language (EXL) naming convention. Each variable name is given by an entity descriptor followed by an attribute descriptor and separated by a dot.

The entity descriptor can be simple (the referenced entity is evident in the collection), or composite (the referenced entity must be associated to other entities to avoid ambiguity). Underscores are used to indicate the chain of entities you must traverse to reach the referenced entity. Entity names given by composite nouns are named on camelNotation (e.g. originSchool).

The attribute descriptor can be simple or qualified. A simple attribute descriptor is given by a single attribute name. A qualified attribute descriptor is used for naming different versions of the same attribute (e.g. current term GPA or last term GPA), or providing different formats of the same attribute (e.g. country identifier and country description). Both attribute names and qualifiers are separated by underscores and named using camelNotation (for composite nouns).