diff --git a/docs/50_data_publication/70_publishing_standards/10_publishing_standards_authors.mdx b/docs/50_data_publication/70_publishing_standards/10_publishing_standards_authors.mdx index 8783cf72..0086724d 100644 --- a/docs/50_data_publication/70_publishing_standards/10_publishing_standards_authors.mdx +++ b/docs/50_data_publication/70_publishing_standards/10_publishing_standards_authors.mdx @@ -9,6 +9,9 @@ As a researcher in chemistry, sharing the data underlying your published results This guide is based on our **standards for data publishing for authors**. You can view the full list of standards [at the end of this article](#standards-authors-list). + +![a flowchart for data publishing for authors](/img/data_pub/authors.png) + ## 1. Upload your Dataset Once you have ensured your data is [well-organized](/docs/data_organisation) and you have chosen appropriate [data formats](/docs/format_standards), you can upload your files. Depending on the [repository you have chosen](/docs/choose_repository), it may be easiest to directly upload your data when creating the dataset. For example, [RADAR4Chem](https://radar4chem.radar-service.eu/) will automatically extract all files from a zip file at this point and replicate the directory structure, while this is not the case if the data is uploaded at a later point in time and an empty dataset is created first. @@ -133,7 +136,6 @@ Publishing research data might seem daunting at first, but by following these st 6. _Researchers should use the Collection DOI provided by a repository in the data availability statements of their corresponding manuscript to wrap research data objects that are relevant to that of an article to be published._ - --- Main authors: [ORCID:0000-0003-4480-8661](https://orcid.org/0000-0003-4480-8661), [ORCID: 0000-0002-6243-2840](https://orcid.org/0000-0002-6243-2840) diff --git a/docs/50_data_publication/70_publishing_standards/20_publishing_standards_publishers.mdx b/docs/50_data_publication/70_publishing_standards/20_publishing_standards_publishers.mdx index 8fb09525..b393c883 100644 --- a/docs/50_data_publication/70_publishing_standards/20_publishing_standards_publishers.mdx +++ b/docs/50_data_publication/70_publishing_standards/20_publishing_standards_publishers.mdx @@ -10,6 +10,9 @@ As an academic publisher, promoting data sharing is essential for advancing rese This guide is based on our standards for data publishing for academic publishers. You can view the full list of standards [at the end of this article](#standards-publishers-list). +![a flowchart for data publishing for academic publishers](/img/data_pub/academic_publishers.png) + + ## 1. Recommend Trusted, Chemistry-Friendly Repositories To assist authors in selecting **well-established and community-specific [repositories](docs/repositories)** for their research data, it is important for journals to recommend trusted [chemistry-friendly repositories](docs/choose_repository). This information should be included within the author guidelines or data policies to assist researchers during the publication process. diff --git a/docs/50_data_publication/70_publishing_standards/30_publishing_standards_infrastructure.mdx b/docs/50_data_publication/70_publishing_standards/30_publishing_standards_infrastructure.mdx index 3e797ba8..53b243df 100644 --- a/docs/50_data_publication/70_publishing_standards/30_publishing_standards_infrastructure.mdx +++ b/docs/50_data_publication/70_publishing_standards/30_publishing_standards_infrastructure.mdx @@ -9,6 +9,8 @@ As an infrastructure provider, facilitating data sharing is vital for enhancing This guide is based on our standards for data publishing for infrastructure providers. You can view the full list of standards [at the end of this article](#standards-infrastructure-list). +![a flowchart for data publishing for infrastructure providers](/img/data_pub/infrastructure_providers.png) + ## 1. Metadata Should Be Part of a Dataset Research data repositories should include standardised, machine-readable metadata in datasets downloaded by researchers and exchanged with other resources. Generic and technical metadata are associated with the dataset during its upload process, while domain-specific repositories extract metadata from analytical data files provided by researchers along their lab workflows (e.g., [Chemotion ELN](https://chemotion.net/)). Once data is retrieved, this metadata should remain intact in the downloaded package, with descriptive [DataCite](https://datacite.org/) metadata as a minimum requirement. One solution to ensure reliable file transfer is to use [BagIt](https://www.rfc-editor.org/rfc/rfc8493.html), which enables inclusion of metadata in downloaded datasets.