Mentorship in Open Source Report Dataset

Linux Foundation Research

doi:10.5281/zenodo.21122050

Published January 1, 2023 | Version v1

Dataset Open

Mentorship in Open Source Report Dataset

Linux Foundation Research¹

1. Linux Foundation

Provides the survey instrument and dataset used for the Mentorship in Open Source Report. Please consult the "Introduction to the dataset" pdf document first as it explains the content found in each of the other files. Report available at: https://www.linuxfoundation.org/research/mentorship-in-open-source

Files

2022 Mentorship Introduction to the Dataset.pdf

Files (508.7 kB)

Name	Size	Download all
2022 Mentorship Full Survey Reference.xlsx md5:f2be58d1d5cf5c669c8b99874b623227	93.6 kB	Download
2022 Mentorship Introduction to the Dataset.pdf md5:377beb8ea5e0ba5079b2f4b14fb5e7e5	165.8 kB	Preview Download
2022 Mentorship Survey Instrument.pdf md5:5b118c43d6a935df6a80ce64aedf07f2	249.2 kB	Preview Download

132

Views

Downloads

Show more details

	All versions	This version
Views	132	132
Downloads	81	81
Data volume	13.4 MB	13.4 MB

More info on how stats are collected....

DOI

Resource type

Dataset

Publisher

Zenodo

License: Community Data License Agreement – Permissive – Version 2.0

This is the Community Data License Agreement – Permissive, Version 2.0 (the “agreement”). Data Provider(s) and Data Recipient(s) agree as follows: 1. Provision of the Data 1.1. A Data Recipient may use, modify, and share the Data made available by Data Provider(s) under this agreement if that Data Recipient follows the terms of this agreement. 1.2. This agreement does not impose any restriction on a Data Recipient’s use, modification, or sharing of any portions of the Data that are in the public domain or that may be used, modified, or shared under any other legal exception or limitation. 2. Conditions for Sharing Data 2.1. A Data Recipient may share Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. 3. No Restrictions on Results 3.1. This agreement does not impose any restriction or obligations with respect to the use, modification, or sharing of Results. 4. No Warranty; Limitation of Liability 4.1. All Data Recipients receive the Data subject to the following terms: THE DATA IS PROVIDED ON AN “AS IS” BASIS, WITHOUT REPRESENTATIONS, WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. NO DATA PROVIDER SHALL HAVE ANY LIABILITY FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING WITHOUT LIMITATION LOST PROFITS), HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE DATA OR RESULTS, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 5. Definitions 5.1. “Data” means the material received by a Data Recipient under this agreement. 5.2. “Data Provider” means any person who is the source of Data provided under this agreement and in reliance on a Data Recipient’s agreement to its terms. 5.3. “Data Recipient” means any person who receives Data directly or indirectly from a Data Provider and agrees to the terms of this agreement. 5.4. “Results” means any outcome obtained by computational analysis of Data, including for example machine learning models and models’ insights. Read more

Technical metadata

Created: July 2, 2026
Modified: July 2, 2026

Mentorship in Open Source Report Dataset

Authors/Creators

Description

Files

2022 Mentorship Introduction to the Dataset.pdf

Files (508.7 kB)