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Quarto GHA Workflow Runner committed Jun 17, 2024
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2 changes: 1 addition & 1 deletion .nojekyll
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"\n",
"Community-driven development of robust, adaptable and useful standards draws significant inspiration from the development of open-source software (OSS) and has many parallels and overlaps with OSS development. OSS has a long history going back to the development of the Unix operating system in the late 1960s. Over the time since its inception, the large community of developers and users of OSS have developed a host of socio-technical mechanisms that support the development and use of OSS. For example, the Open Source Initiative (OSI), a non-profit organization that was founded in the 1990s developed a set of guidelines for licensing of OSS that is designed to protect the rights of developers and users. On the more technical side, tools such as the Git Source-code management system support open-source development workflows that can be adopted in the development of standards. When these social and technical innovations are put together they enable a host of positive defining features of OSS, such as transparency, collaboration, and decentralization. These features allow OSS to have a remarkable level of dynamism and productivity, while also retaining the ability of a variety of stakeholders to guide the evolution of the software to take their needs and interests into account. The present report seeks to explore how OSS processes and tools have affected the development of data and metadata standards. The report will triangulate common features of a variety of use-cases, will identify some of the challenges and pitfalls of this mode of standards development, and will make recommendations for future developments and policies that can help this mode of standards development thrive and reach its full potential."
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"\n",
"Wilkinson, Mark D, Michel Dumontier, I Jsbrand Jan Aalbersberg, Gabrielle Appleton, Myles Axton, Arie Baak, Niklas Blomberg, et al. 2016. “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” *Sci Data* 3 (March): 160018."
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"\n",
"[1] So old in fact that an oft-cited [XKCD comic](https://xkcd.com/927/) has been devoted to it."
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2 changes: 1 addition & 1 deletion sections/02-challenges.out.ipynb
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"\n",
"[1] So old in fact that an oft-cited [XKCD comic](https://xkcd.com/927/) has been devoted to it."
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"\n",
"Stakeholder organizations should invest in training grants to establish curriculum for data and metadata standards education."
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"\n",
"Development of standards should be coupled with development of associated software. Make data standards machine readable, and software creation an integral part of establishing a standard’s schema e.g. For identifiers for a person using CFF in citations, cffconvert software makes the CFF standard usable and useful. Additionally, standards evolution should maintain software compatibility, and ability to translate and migrate between standards."
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"\n",
"Stakeholder organizations should invest in training grants to establish curriculum for data and metadata standards education."
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"\n",
"Mons, Barend. 2018. *Data Stewardship for Open Science: Implementing FAIR Principles*. 1st ed. Vol. 1. Milton: CRC Press. <https://doi.org/10.1201/9781315380711>."
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"\n",
"The workshop and this report were funded through [NSF grant #2334483](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334483&HistoricalAwards=false) from the NSF [Pathways to Enable Open-Source Ecosystems (POSE)](https://new.nsf.gov/funding/opportunities/pathways-enable-open-source-ecosystems-pose) program."
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"\n",
"The workshop and this report were funded through [NSF grant #2334483](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334483&HistoricalAwards=false) from the NSF [Pathways to Enable Open-Source Ecosystems (POSE)](https://new.nsf.gov/funding/opportunities/pathways-enable-open-source-ecosystems-pose) program."
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"\n",
"For example, an ongoing series of policy discussions that address the interactions between research communities and the general public. In the United States, these policies are expressed, for example, in memos issued by the directors of the White House Office of Science and Technology Policy (OSTP), James Holdren (in 2013) and Alondra Nelson (in 2022). While these memos focused primarily on making peer-reviewed publications funded by the US Federal government available to the general public, they also lay an increasingly detailed path toward the publication and general availability of the data that is collected in research that is funded by the US government. The general guidance and overall spirit of these memos dovetail with more specific policy guidance related to data and metadata standards. For example, the importance of standards was underscored in a recent report by the Subcommittee on Open Science of the National Science and Technology Council on the “Desirable characteristics of data repositories for federally funded research” \\[@nstc2022desirable\\]. The report explicitly called out the importance of “allow\\[ing\\] datasets and metadata to be accessed, downloaded, or exported from the repository in widely used, preferably non-proprietary, formats consistent with standards used in the disciplines the repository serves.” This highlights the need for data and metadata standards across a variety of different kinds of data. In addition, a report from the National Institute of Standards and Technology on “U.S. Leadership in AI: A Plan for Federal Engagement in Developing Technical Standards and Related Tools” emphasized that – specifically for the case of AI – “U.S. government agencies should prioritize AI standards efforts that are \\[…\\] Consensus-based, \\[…\\] Inclusive and accessible, \\[…\\] Multi-path, \\[…\\] Open and transparent, \\[…\\] and \\[that\\] result in globally relevant and non-discriminatory standards…” \\[@NIST2019\\]. The converging characteristics of standards that arise from these reports suggest that considerable thought needs to be given to how standards arise so that these goals are achieved."
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"\n",
"The National Science and Technology Council. 2022. “Desirable Characteristics of Data Repositories for Federally Funded Research.” *Executive Office of the President of the United States, Tech. Rep*."
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"\n",
"## Citizen science"
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"\n",
"Wells, Donald Carson, and Eric W Greisen. 1979. “FITS-a Flexible Image Transport System.” In *Image Processing in Astronomy*, 445."
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