# \#data

**URL:** https://discourse.datamethods.org/tag/data/176.md

[Latest](https://discourse.datamethods.org/latest.md) · [Categories](https://discourse.datamethods.org/categories.md) · [Tags](https://discourse.datamethods.org/tags.md)

---

## [Data Availability](https://discourse.datamethods.org/t/data-availability/27996)

<div class="topic-metadata">

**Author:** [@trumanfrancis](https://discourse.datamethods.org/u/trumanfrancis)\
**Replies:** 0\
**Last updated:** [May 1, 2025, 1:45pm UTC](https://discourse.datamethods.org/t/data-availability/27996 "2025-05-01T13:45:31Z")

</div>

Apparently data is rarely “available by request”. Should it be required to be available post publication? Hussey - 2023 - data is not available upon request (1).pdf (273.3 KB)

---

## [Cdisc in academia](https://discourse.datamethods.org/t/cdisc-in-academia/5952)

<div class="topic-metadata">

**Author:** [@PaulGS](https://discourse.datamethods.org/u/PaulGS)\
**Replies:** 1\
**Last updated:** [September 7, 2022, 7:37am UTC](https://discourse.datamethods.org/t/cdisc-in-academia/5952 "2022-09-07T07:37:23Z")

</div>

I’m wondering if anyone uses cdisc principles (mainly SDTM and ADAM) in their analyses outside of industry? I can see the value in standardising variable names, attributes, etc and am interested in the utility in academi…
