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links
- http://opendefinition.org/
- http://frictionlessdata.io/
- https://specs.frictionlessdata.io/data-package/
- https://github.com/frictionlessdata/tableschema-py
- https://github.com/fatiando/pooch
- https://github.com/lepy/exdir/blob/dev/examples/usecase_exdir.py
- https://github.com/UTS-eResearch/datacrate
- http://cameronneylon.net/blog/packaging-data-the-core-problem-in-general-data-sharing/?utm_content=buffer7f5fe&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
- https://github.com/ozmeka/omeka-python-utils/blob/master/csv2omeka.md
- http://ptsefton.com/2017/10/19/datacrate.htm
- Top 10 Mistakes in Data Management https://www.youtube.com/watch?v=5Pl671FH6MQ
- https://figshare.com/articles/Research_data_management_an_introduction_Training_materials_RDM_Support_basic_training_course_for_information_specialists_session_1/1285066
- A research data management plugin for the Git version control system. https://github.com/ctjacobs/git-rdm
- What is Metadata Management? https://www.youtube.com/watch?v=Ioxr2mcOLjE
- https://de.wikipedia.org/wiki/XML_Metadata_Interchange
- http://www.omg.org/spec/XMI/About-XMI/
- http://www.dcc.ac.uk/resources/metadata-standards/list
- http://www.dcc.ac.uk/resources/subject-areas/physical-science
- https://github.com/abstractfactory/openmetadata
- dataset: databases for lazy people http://dataset.readthedocs.io/en/latest/
- open metadata Markup Language http://www.g-node.org/projects/odml
- Coda is a file system organizer, designed for data scientists https://github.com/bprinty/coda
- http://dictionary.casrai.org/Category:Research_Data_Domain
- http://dictionary.casrai.org/Category:Research_Admin_Domain
- DIF https://gcmd.nasa.gov/add/difguide/index.html
- metadata companion library for paegan data model https://github.com/ioos/wicken
- https://github.com/gweis/isodate/
- https://en.wikipedia.org/wiki/Technical_data_management_system
- https://kepler-project.org/users/features
- http://www.taverna.org.uk/
- https://www.myexperiment.org/home
- https://github.com/druths/xp
iRODS software was designed to allow curators utilising heterogeneous storage and computing facilities to define policies without being concerned with the technical detail of how the system implements those policies and without having to respond to changes in technical infrastructure. It was built as a successor to the DICE Storage Resource Broker (SRB), which provides a unified interface for dealing with data in disparate locations. While SRB provides global, logical mappings to the digital entities registered in a shared collection, iRODS takes this further, adding the capacity to create unified administrative policies and processes, which act across all data sources. The system creates a virtual collection, allowing the user to interact with their stored data without needing to keep track of, or even have ultimate control over, the storage and computing facilities hosting the information.
- Python Finite State Machines made easy. https://github.com/fgmacedo/python-statemachine
- https://github.com/coleifer/unqlite-python
- https://pypi.org/project/sqlitedict/
- https://github.com/wiredtiger/wiredtiger/blob/master/examples/python/ex_access.py
- https://github.com/jamesls/semidbm
- https://github.com/dagnelies/pysos
- https://pythonhosted.org/ajgu/
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https://tinydb.readthedocs.io/en/latest/index.html
- JMESPath (pronounced "james path") allows you to declaratively specify how to extract elements from a JSON document. https://github.com/jmespath/jmespath.py
- https://github.com/ICRAR/ijson
- https://llnl-conduit.readthedocs.io/en/latest/index.html
- https://github.com/graphql-python/graphene
- https://github.com/dpapathanasiou/simple-graph
- https://pages.nist.gov/material-schema/Dataset/
- https://materialsdata.nist.gov/handle/11256/1
- https://materialsdata.nist.gov/handle/11256/940 Ultrahigh Carbon Steel Micrographs