2023 Energy Transformation Readiness Study
Description
Survey instrument and dataset for the 2023 Energy Transformation Readiness Survey.
Summary
About this study
From a research perspective, we aimed to eliminate sample bias and ensure high data quality. We addressed eliminating sample bias by sourcing 89% of the usable sample from a third-party panel provider and the remaining 11% from Linux Foundation Members.
We addressed data quality through extensive screening criteria to ensure that respondents had sufficient familiarity and professional experience to answer questions accurately on behalf of the organization they worked for.
The worldwide survey conducted by Linux Foundation Energy and Linux Foundation Research was designed to gather insights on the current trends and challenges related to digitalization, OSS use, and related skills in the energy sector. The survey was conducted in 2022 Q4 and was promoted through various channels, including social media, the Linux Foundation, Linux.com websites, and the Linux Foundation Newsletter. The final sample size analyzed was a maximum of 441 respondents.
The margin of error for the survey data is + / - 4.7% at a 95% confidence level. Not all percentages will add to 100% due to rounding.
The Full Survey Reference Dataset Attachment
This spreadsheet contains 4 tabs: introduction, survey reference, filtering criteria, and the raw dataset. Please read the commentary in the introduction tab which explains the purpose of the other tabs.
Available Formats
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:
- 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.
- 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.
- 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.
- 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.
- 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.