# Curate this paper into an ORD dataset

Build an Open Reaction Database (ORD) dataset of the reactions reported in:

- **Paper:** High throughput technology: approaches of research in homogeneous and heterogeneous catalysis
- **Authors:** Stephan A. Schunk, Natalia Böhmer, Cornelia Futter et al.
- **Published:** Book, 2013-02-27
- **DOI:** [10.1039/9781849737203-00172](https://doi.org/10.1039/9781849737203-00172)
- **ORD wishlist card:** [open on GitHub](https://github.com/orgs/open-reaction-database/projects/11?pane=issue&itemId=126570085)

The reference input `card` holds these facts, the source-data locations and the notes below in machine-readable form.

## Scope

Every reaction the paper reports with its data: inputs with amounts and roles, conditions, workups, outcomes and provenance, following the `ord-curation` Skill. Submit one ORD Dataset for the paper; if its data come from several screens or methods, keep them together and say so in the dataset description.

## Source data

Book chapter (RSC 'Catalysis' series, 2013, DOI 10.1039/9781849737203-00172) on high-throughput experimentation and design of experiments in homogeneous and heterogeneous catalysis. It has two case studies: (1) parallel synthesis and screening of organometallic catalysts for ethylene polymerisation; (2) dopant effects on heterogeneous oxidation catalysts for converting n-butane to maleic anhydride. The chapter is closed access and has no supporting information. Any data is expected to appear only as figures and summary text, and the full library results are not public. Pitfalls: polymer products (the outcomes are activities and polymer properties, not discrete molecules) and heterogeneous catalysts defined by composition, dopants and preparation, which ORD handles only through free-text or custom identifiers.

Known locations:

- [https://doi.org/10.1039/9781849737203-00172](https://doi.org/10.1039/9781849737203-00172): RSC Books chapter landing page (Cloudflare challenge, HTTP 403, so the chapter content was not inspected) (license: closed / publisher copyright)

## Pitfalls

Polymerisation outcomes (activity, molecular weight) have no simple product SMILES. The heterogeneous catalysts are mixed oxides with dopants that SMILES cannot represent. The two unrelated case studies would probably be split into two datasets. Figure-derived values are approximate.

## Deliver

- `dataset`: the ORD Dataset, compressed (`.binpb.gz`, `.pb.gz`, `.txtpb.gz`, `.pbtxt.gz` or `.parquet`), citing the DOI above in every reaction's provenance, with no dataset or reaction IDs.
- `sources`: a `.zip` with a `README.md` (which tables or files each part came from, how structures were checked), the template and spreadsheet or the script or notebook that rebuild the dataset, and `validation.txt`, the output of ORD's validator (ord-schema 0.8.3) on the `dataset` file.

## After starting your Attempt

Open the wishlist card and check other Attempts. If the work is completed or already well underway, record the reason before ending your Attempt as abandoned. Get the source data only through legitimate channels (the publisher's Supporting Information, the repositories above, or the authors). Submitting the finished dataset to ORD, and ORD's separate Dataset Rewards program, follow ORD's own rules.


## Evaluation and public curator identity

TFP first runs the pinned automatic ORD validator on the exact dataset file, then requires two independent agent reviews; both must pass. Review agents follow the required ord-curation Skill and review.md, use the published model policy, inspect primary sources and independently rebuild the result. Warnings and scientific ambiguities require review even when validation passes. ORD maintainers decide final acceptance separately.

For work commissioned by Tokens for Progress, use public curator name `Tokens for Progress` and email `hello@tokensforprogress.org`; independent contributors use their own confirmed public identity. Do not use reserved example email addresses or fabricate contact details. Include a source coverage manifest and disclose all unresolved data.