From d0a59ec81ae0289f080f53f314cf7c502cb8d6d8 Mon Sep 17 00:00:00 2001 From: Brian Ressler Date: Wed, 2 Aug 2023 19:26:24 -0500 Subject: [PATCH] Module 3 is ready Changes per ARC curriculum team. --- .../modules/open_data_module.md | 51 ++++++++++++------- 1 file changed, 32 insertions(+), 19 deletions(-) diff --git a/docs/Area2_Capacity_Sharing/Open-Science-101/modules/open_data_module.md b/docs/Area2_Capacity_Sharing/Open-Science-101/modules/open_data_module.md index 83c4a6b15..96c774d42 100644 --- a/docs/Area2_Capacity_Sharing/Open-Science-101/modules/open_data_module.md +++ b/docs/Area2_Capacity_Sharing/Open-Science-101/modules/open_data_module.md @@ -1,24 +1,37 @@ # Module 3: Open Data -## Learning Outcomes -By the end of this module, learners should feel comfortable creating a data management plan that follows FAIR principles, including assigning a license/copyright, metadata tagging, and assigning PIDs. Learners should also feel comfortable utilizing and assigning metadata. - -## Suggested Module Structure -### Open Data -* Lesson 1: Introduction to Open Data -* Lesson 2: Using Open Data -* Lesson 3: Making Open Data -* Lesson 4: Sharing Open Data -* Lesson 5: Community Stories, Resources and Policy - -## Suggested Resources -*Interested in exploring ‘Open Data’ while we develop the module? Here are some resources to get you started:* -* GODAN [MOOC](https://aims.gitbook.io/open-data-mooc/) about how to use, make, and share open data -* How to share data module from [Carpentries](https://carpentries-incubator.github.io/good-enough-practices/02-data_management/index.html) +In this module, learners will explore the application of FAIR and CARE and best practices for using, making or sharing open data. The discussions are organized in the form of process steps that learners can take depending on their data. In addition, there is a discussion on what is usually expected in a data management plan, the process for assessing data for reuse, open formats and documentation, as well as considerations for sharing data and making your data citable. + +## Learning Objectives +After completing this module, learners should be able to: +* Explain the benefits and challenges with practicing open science for data +* List the key tasks in finding, assessing, accessing and using existing data +* List the key requirements for making data open including how to make it interoperable, assessable, usable, findable and accessible +* Explain how considerations such as export controls and intellectual property limit the ability to make selected data open +* List the key requirements for successfully sharing open data +* Describe the data management plan including the common elements it should include + +**Lesson 1: Introduction to Open Data:** What is open data and its benefits, and how can the FAIR and CARE principles be used to guide open data practices? How can the use, make, share framework be used to modify a scientific plan for open data? + +**Lesson 2: Using Open Data:** How to discover open data, how to assess if a dataset is open by evaluating the documentation, file format, metadata, and license details, and how to cite open data. + +**Lesson 3: Making Open Data:** Data management plans, open data formats and tools for interoperability, how to include metadata and version control, and how to make data accessible and findable. + +**Lesson 4: Sharing Open Data:** Process and considerations for sharing data, selecting, and working with a repository, maintaining and archiving data, and applying the appropriate data license. + +**Lesson 5: Community Stories, Resources and Policy:** How to become involved in open data communities, and additional resources for open data. + +## Additional Resources +In addition to the TOPS module training, the community resources below are excellent information sources about Open Data. +* [NASA's Transform to Open Science](https://nasa.github.io/Transform-to-Open-Science-Book/) github landing page for TOPS +* [NASA SMD's Open-Source Science Guidance](https://science.nasa.gov/science-red/s3fs-public/atoms/files/SMD%20Open-Source%20Science%20Guidance%20v1%2020221208.pdf) +* [Repository of Federal Enterprise Data Resources](https://resources.data.gov/) +* [The Open Data Handbook](http://opendatahandbook.org/guide/en/) +* GODAN [MOOC](https://aims.gitbook.io/open-data-mooc/) on Open Data Management in Agriculture and Nutrition +* [Carpentries Data Management](https://carpentries-incubator.github.io/good-enough-practices/02-data_management/index.html) for Scientific Computing * Great open data in Africa farming [MOOC](https://aims.gitbook.io/farm-data-mooc/) -* FAIRsharing.org (2016). FAIR. The FAIR Principles. [doi.org/10.25504/FAIRsharing.WWI10U](https://fairsharing.org/FAIRsharing.WWI10U) -* The Open Data Handbook. [http://opendatahandbook.org/guide/en/](http://opendatahandbook.org/guide/en/) -* Reproducible Research and Data Analysis. FOSTER. [https://github.com/Open-Science-Training-Handbook/Open-Science-Training-Handbook_EN/blob/master/02OpenScienceBasics/04ReproducibleResearchAndDataAnalysis.md](https://github.com/Open-Science-Training-Handbook/Open-Science-Training-Handbook_EN/blob/master/02OpenScienceBasics/04ReproducibleResearchAndDataAnalysis.md) +* FAIRsharing.org; [The FAIR Principles](https://fairsharing.org/FAIRsharing.WWI10U) +* Reproducible Research and Data Analysis. [FOSTER](https://github.com/Open-Science-Training-Handbook/Open-Science-Training-Handbook_EN/blob/master/02OpenScienceBasics/04ReproducibleResearchAndDataAnalysis.md) * Some guides on publishing data are available [here](https://www.cessda.eu/Training/Training-Resources/Library/Data-Management-Expert-Guide/6.-Archive-Publish/Data-publishing-routes) and [here](https://www.openaire.eu/opendatapilot-repository-guide) -* An example of tagging and sharing data from Harvard University,[ DataTags](https://privacytools.seas.harvard.edu/datatags) +* An example of tagging and sharing data from Harvard University, [DataTags](https://privacytools.seas.harvard.edu/datatags) \ No newline at end of file