2024 Secure Software Development Education Report Dataset

Linux Foundation Research

doi:10.5281/zenodo.21110950

Published June 1, 2024 | Version v1

Dataset Open

2024 Secure Software Development Education Report Dataset

Linux Foundation Research¹

1. Linux Foundation

Provides the survey instrument, dataset, and frequencies used for the 2024 Secure Software Development Education 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/software-security-education-study

Files

2024 Security Education Survey Frequencies Deck.pdf

Files (1.5 MB)

Name	Size	Download all
2024 Secure Software Development Education Survey Full Survey Reference N398 .xlsx md5:5b19d145576cb0744392cb3343169952	957.0 kB	Download
2024 Security Education Survey Frequencies Deck.pdf md5:1adb1911b4fbd27232889dfce3c3f947	183.1 kB	Preview Download
2024 Security Education Survey Instrument.pdf md5:e8e5565145742a00f9a60bf8b9d3e9a9	218.5 kB	Preview Download
Introduction to the dataset.pdf md5:572571dfafda48b047345bc58e3ca5c8	166.6 kB	Preview Download

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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

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Created: July 1, 2026
Modified: July 1, 2026

2024 Secure Software Development Education Report Dataset

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Files

2024 Security Education Survey Frequencies Deck.pdf

Files (1.5 MB)