Cross-Domain References
Recommendations on reporting, data, metadata, and reproducibility. The collection is non-exhaustive. Do you know a work that should be listed here? See suggest a link.
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. |
| Title |
Year |
Reference |
| Proposal NFDI4Chem 2025–2030 In the National Research Data Infrastructure (NFDI) – Our Vision: All Chemists Publish FAIR Data (MIChI minimum information) |
2025 |
Steinbeck et al. |
| The economic impact of open science: a scoping review |
2025 |
Tsipouri et al. |
| Digital Standards: A Path to Sustainable and Interoperable Chemical Data Exchange |
2024 |
Mustafa et al. |
| Shared metadata for data-centric materials science |
2023 |
Ghiringhelli et al. |
| Ten simple rules for starting FAIR discussions in your community |
2023 |
Belliard 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: Final Report and Action Plan from the European Commission Expert Group on FAIR Data (EC expert-group action plan) |
2018 |
Collins et al. |
| Cost-Benefit Analysis for FAIR Research Data: Cost of Not Having FAIR Research Data |
2018 |
PwC EU Services |
| The IUPAC Gold Book: An Exemplar for IUPAC Asset Digitization |
2017 |
Chalk & McEwen |
| Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud |
2017 |
Mons et al. |
| 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. |
| 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. |
| Reproducibility in density functional theory calculations of solids (the Δ-test, 69 authors, 15 codes) |
2016 |
Lejaeghere et al. |
| 1,500 scientists lift the lid on reproducibility |
2016 |
Baker |
| Ten Simple Rules for Reproducible Computational Research |
2013 |
Sandve et al. |