Cross-Domain References
Recommendations on reporting, data, metadata, and reproducibility that are not specific to electrochemistry but which the practices of the field build on.
For the literature of interfacial electrochemistry and electrocatalysis itself, see best practices.
Cross-domain consensus protocols
| Title | Year | Reference |
|---|---|---|
| Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures | 2020 | Khenkin et al. |
| Consensus stability testing protocols for organic photovoltaic materials and devices (the original ISOS protocols) | 2011 | Reese et al. |
Data, metadata, FAIR and open science
| Title | Year | Reference |
|---|---|---|
| The economic impact of open science: a scoping review | 2025 | Tsipouri et al. |
| Proposal NFDI4Chem 2025–2030 (MIChI minimum information) | 2025 | Steinbeck et al. |
| Digital Standards: A Path to Sustainable and Interoperable Chemical Data Exchange | 2024 | Mustafa et al. |
| Ten simple rules for starting FAIR discussions in your community | 2023 | Belliard et al. |
| Shared metadata for data-centric materials science | 2023 | Ghiringhelli et al. |
| Navigating the minefield of battery literature | 2022 | Xu |
| Introducing the FAIR Principles for research software (FAIR4RS) | 2022 | Barker et al. |
| The role of metadata in reproducible computational research | 2021 | Leipzig et al. |
| AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance | 2020 | Huber et al. |
| FAIRsharing as a community approach to standards, repositories and policies | 2019 | Sansone et al. |
| Metadata management for scientific databases | 2019 | Pinoli et al. |
| Turning FAIR into Reality (EC expert-group action plan) | 2018 | Collins et al. |
| Cost-Benefit Analysis for FAIR Research Data | 2018 | PwC EU Services |
| Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud | 2017 | Mons et al. |
| The IUPAC Gold Book: An Exemplar for IUPAC Asset Digitization | 2017 | Chalk & McEwen |
| The FAIR Guiding Principles for scientific data management and stewardship | 2016 | Wilkinson et al. |
| Science friction: Data, metadata, and collaboration | 2011 | Edwards et al. |
| Metadata Standards: What, Who and Why | 2001 | Duval |
General reproducibility, verification and research software
| Title | Year | Reference |
|---|---|---|
| How to verify the precision of density-functional-theory implementations via reproducible and universal workflows | 2024 | Bosoni et al. |
| To Err is Human; To Reproduce Takes Time | 2022 | Scott et al. |
| Introducing the FAIR Principles for research software (FAIR4RS) | 2022 | Barker et al. |
| The role of metadata in reproducible computational research | 2021 | Leipzig et al. |
| AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance | 2020 | Huber et al. |
| Best Practices for Quantification of Uncertainty and Sampling Quality in Molecular Simulations [Article v1.0] | 2018 | Grossfield et al. |
| 1,500 scientists lift the lid on reproducibility | 2016 | Baker |
| Reproducibility in density functional theory calculations of solids (the Δ-test, 69 authors, 15 codes) | 2016 | Lejaeghere et al. |
| Ten Simple Rules for Reproducible Computational Research | 2013 | Sandve et al. |
References
All references listed on this page and on its companion page are available as a single BibTeX file, bibliography.bib.
The collection is non-exhaustive. Do you know a work that should be listed here? See suggest a link.