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<rdf:RDF xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><channel rdf:about="https://puma.ub.uni-stuttgart.de/group/researchcode/researchObjects"><title>PUMA bookmarks for /group/researchcode/researchObjects</title><link>https://puma.ub.uni-stuttgart.de/group/researchcode/researchObjects</link><description>PUMA RSS Feed for /group/researchcode/researchObjects</description><items><rdf:Seq><rdf:li rdf:resource="https://frictionlessdata.io/software/"/><rdf:li rdf:resource="https://github.com/whole-tale/whole-tale"/><rdf:li rdf:resource="https://www.dataone.org/webinars/developing-packaging-and-sharing-reproducible-research-objects-whole-tale-approach"/><rdf:li rdf:resource="https://github.com/UTS-eResearch/datacrate/blob/new_draft/0.2/spec/0.2/data_crate_specification_v0.2.md"/><rdf:li rdf:resource="https://support.hdfgroup.org/HDF5/doc/UG/HDF5_Users_Guide-Responsive%20HTML5/index.html#t=HDF5_Users_Guide%2FHDF5_UG_Title%2FHDF5_UG_Title.htm"/><rdf:li rdf:resource="https://github.com/ResearchObject/bagit-ro"/></rdf:Seq></items></channel><item rdf:about="https://frictionlessdata.io/software/"><title>Core Software Libraries</title><description></description><link>https://frictionlessdata.io/software/</link><dc:creator>diglezakis</dc:creator><dc:date>2020-02-01T13:10:40+01:00</dc:date><dc:subject>forschungsdaten metadata researchObjects tools </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2020-02-01T13:10:40+01:00&#034; href=&#034;https://frictionlessdata.io/software/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://frictionlessdata.io/software/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/metadata"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/researchObjects"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/tools"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/whole-tale/whole-tale"><title>GitHub - whole-tale/whole-tale: The Whole Tale - Merging Science and Cyberinfrastructure Pathway</title><description>The Whole Tale - Merging Science and Cyberinfrastructure Pathway - whole-tale/whole-tale</description><link>https://github.com/whole-tale/whole-tale</link><dc:creator>diglezakis</dc:creator><dc:date>2019-10-23T13:23:42+02:00</dc:date><dc:subject>forschungsdaten computing researchObjects platform </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;The Whole Tale - Merging Science and Cyberinfrastructure Pathway - whole-tale/whole-tale&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/computing"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/researchObjects"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/platform"/></rdf:Bag></taxo:topics></item><item rdf:about="https://www.dataone.org/webinars/developing-packaging-and-sharing-reproducible-research-objects-whole-tale-approach"><title>Developing, Packaging and Sharing Reproducible Research Objects: The Whole Tale Approach | DataONE</title><description></description><link>https://www.dataone.org/webinars/developing-packaging-and-sharing-reproducible-research-objects-whole-tale-approach</link><dc:creator>diglezakis</dc:creator><dc:date>2019-10-23T13:09:27+02:00</dc:date><dc:subject>forschungsdaten researchObjects </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2019-10-23T13:09:27+02:00&#034; href=&#034;https://www.dataone.org/webinars/developing-packaging-and-sharing-reproducible-research-objects-whole-tale-approach&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://www.dataone.org/webinars/developing-packaging-and-sharing-reproducible-research-objects-whole-tale-approach&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/forschungsdaten"/><rdf:li rdf:resource="https://puma.ub.uni-stuttgart.de/tag/researchObjects"/></rdf:Bag></taxo:topics></item><item rdf:about="https://github.com/UTS-eResearch/datacrate/blob/new_draft/0.2/spec/0.2/data_crate_specification_v0.2.md"><title>datacrate/data_crate_specification_v0.2.md at new_draft/0.2 · UTS-eResearch/datacrate · GitHub</title><description>This document specifies a method of organising file-based data with associated metadata, known as DataCrate in both human and machine readable formats, based on the schema.org linked-data vocabularly, supplemented with terms from the SPAR ontologies and [PCDM] where schema.org does not have coverage. The motivation for this work comes from the research domain.

A DataCrate is a dataset a set of files contained in a single directory. There are two ways of organizing a DataCrate.

    For working data or data that does not need to be distributed with checksums, a Working DataCrate is a plain-old directory containing payload data files, with two metadata files at the root; one for humans and one for machines.

    For distribution, or archiving; where integrity is important, a Bagged DataCrate is a BagIt bag conforming to the DataCrate BagIt profile with the payload files in the /data directory. A Bagged DataCrate has a clear separation between metadata and payload, and can be integrity-checked using the checksums in the BagIt manifest.
</description><link>https://github.com/UTS-eResearch/datacrate/blob/new_draft/0.2/spec/0.2/data_crate_specification_v0.2.md</link><dc:creator>diglezakis</dc:creator><dc:date>2018-06-15T11:22:58+02:00</dc:date><dc:subject>bagit forschungsdaten metadata researchObjects </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;This document specifies a method of organising file-based data with associated metadata, known as DataCrate in both human and machine readable formats, based on the schema.org linked-data vocabularly, supplemented with terms from the SPAR ontologies and [PCDM] where schema.org does not have coverage. The motivation for this work comes from the research domain.

A DataCrate is a dataset a set of files contained in a single directory. There are two ways of organizing a DataCrate.

    For working data or data that does not need to be distributed with checksums, a Working DataCrate is a plain-old directory containing payload data files, with two metadata files at the root; one for humans and one for machines.

    For distribution, or archiving; where integrity is important, a Bagged DataCrate is a BagIt bag conforming to the DataCrate BagIt profile with the payload files in the /data directory. A Bagged DataCrate has a clear separation between metadata and payload, and can be integrity-checked using the checksums in the BagIt manifest.
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