This wiki page is based in Appendix A of the "Making data meaningful" paper. The list will be updated online as more resources are developed: See below for more information on how to get help making your data: ---------- **Findable** [Registry of Research Data Repositories][1]: An overview of OSF: [Foster, E., & Deardorff, A. (2017). Open Science Framework (OSF). Journal of the Medical Library Association, 105(2), 203–206.][2] A step-by-step guide to [creating a DOI from a github repository using zenodo][3] *[Entry added 12 April, 2022]* ---------- **Complete** Additional analysis of how to treat missing data: [Hoevenaar-Blom MP, Guillemont J, Ngandu T, Beishuizen CRL, Coley N, et al. (2017) Improving data sharing in research with context-free encoded missing data. PLOS ONE 12(9): e0182362][4] Providing analysis code: [Blischak JD, Carbonetto P and Stephens M. Creating and sharing reproducible research code the workflowr way. F1000Research 2019, 8:1749][5] [A guide to reproducible code (in Ecology and Evolution)][6] *[Entry added 7 June, 2021]* Are your data ready for sharing? [Detailed guide for data preparation for sharing in R][7], by Crystal Lewis *[Entry added 16 April 2024]* ---------- **Well described** R package ‘codebook’: [Arslan, R. C. (2019). How to Automatically Document Data With the codebook Package to Facilitate Data Reuse. Advances in Methods and Practices in Psychological Science, 169–187.][8] See also: https://rubenarslan.github.io/codebook/articles/codebook_tutorial.html Creating a codebook in SPSS: https://libguides.library.kent.edu/spss/codebooks https://stats.idre.ucla.edu/spss/modules/labeling-and-documenting-data/ Collating data for a meta-analysis - dataMaid: [Petersen, A., & Ekstrøm, C. (2019). dataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R. Journal of Statistical Software, 90(6), 1 - 38.][9] See also: https://cran.r-project.org/web/packages/dataMaid/dataMaid.pdf Open source, web-based tools to help share the analytic process with qualitative (linguistic) data, via [Annotation for Transparent Inquiry][10] *[Entry added 10 June, 2022]* [Example project /templates for open data sharing][11] by Crystal Lewis *[Entry added 15 April 2024]* ---------- **Addressing data sensitivity issues** [An introduction to data anonymization][12] Anonymization in R: http://psychbrief.com/anonymous-data-r/ https://bookdown.org/martin_monkman/DataScienceResources_book/anonymity-and-confidentiality.html Synthetic data, using R synthpop: https://www.synthpop.org.uk/get-started.html Synthetic data for SPSS using GRD: https://www.tqmp.org/RegularArticles/vol10-2/p080/p080.pdf [1]: https://www.re3data.org [2]: https://doi.org/10.5195/jmla.2017.88 [3]: https://coderefinery.github.io/github-without-command-line/doi/ [4]: https://doi.org/10.1371/journal.pone.0182362 [5]: https://doi.org/10.12688/f1000research.20843.1 [6]: https://www.britishecologicalsociety.org/wp-content/uploads/2017/12/guide-to-reproducible-code.pdf [7]: https://cghlewis.github.io/ncme-data-cleaning-workshop/slides.html [8]: https://doi.org/10.1177/2515245919838783 [9]: http://doi:http://dx.doi.org/10.18637/jss.v090.i06 [10]: https://anno-rep.org [11]: https://osf.io/59gte/ [12]: https://www.ukdataservice.ac.uk/manage-data/legal-ethical/anonymisation/