Data Curation
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This collection contains materials related to research data, software and code curation at Cornell University Library.
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Item Readme Template for SoftwareDietrich, Dianne (2025)A readme file provides information about a dataset, file(s), or software and is intended to help ensure that the files can be correctly interpreted, by yourself at a later date or by others when sharing or publishing data, code, or software. These README templates are provided in multiple formats for your to adapt and use for your data: -.md (markdown, a language for text formatting that can be opened using a markdown editor or as plain text) -.txt (plain text, which can be opened and edited in a text editor; to download you may need to control-click or right-click and save the file) The accompanying guide to writing “readme” style metadata for your code and software can be found here: https://data.research.cornell.edu/data-management/sharing/writing-readmes-for-research-code-software/ Information about markdown can be found here: https://www.markdownguide.org/Item Readme Template for DataKozlowski, Wendy (2025)A readme file provides information about a dataset, file(s), or software and is intended to help ensure that the files can be correctly interpreted, by yourself at a later date or by others when sharing or publishing data, code, or software. These README templates are provided in multiple formats for your to adapt and use for your data: -.md (markdown, a language for text formatting that can be opened using a markdown editor or as plain text) -.txt (plain text, which can be opened and edited in a text editor; to download you may need to control-click or right-click and save the file) The accompanying guide to writing “readme” style metadata can be found here: https://data.research.cornell.edu/data-management/sharing/readme/ Information about markdown can be found here: https://www.markdownguide.org/Item Research Data Curation Service: 2024 SummaryWright, Sarah J.; Beltran, Lencia; Evergreen, Gabriela; Kozlowski, Wendy (2025-01-13)This 2024 report provides annual highlights of Cornell University Library’s data curation service as well as the number of datasets curated over the past six years, levels of curation performed since we began tracking that in 2021, and a breakdown of inquiries by college. The library’s Research Data and Open Scholarship (RDOS) unit, which was established in fall of 2023, provides data curation as one of our core services. CUL has been offering file-level curation of data and code as an institutional member of the Data Curation Network since 2016.