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https://github.com/nceas/metacat

Data repository software that helps researchers preserve, share, and discover data
https://github.com/nceas/metacat

datascience hacktoberfest hacktoberfest2021 metadata repository

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Data repository software that helps researchers preserve, share, and discover data

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README 

        
# Metacat: Data Preservation and Discovery System



Version: 3.0.0 Release

- See [Release Notes](RELEASE-NOTES.md)

- DOI: [doi:10.18739/A2VX0650Z](https://doi.org/10.18739/A2VX0650Z)



Send feedback and bugs to: 



- [email protected]

- http://github.com/NCEAS/metacat



Metacat is repository software for preserving data and metadata

(documentation about data) that helps scientists find, understand and

effectively use data sets they manage or that have been created by

others. Hundreds of thousands of data sets are currently documented in

a standardized way and stored in Metacat systems, providing the

scientific community with a broad range of science data that can be

easily searched, compared, merged, or used in other ways because the

data are well and consistently described.



## Installation

See [installation notes](./docs/user/metacat/source/install.rst) for detailed instructions for your OS.



## Documentation

See the docs directory for detailed documentation and installation

instructions.



Details of the Metacat architecture can be found on the website for

the Knowledge Network for Biocomplexity (KNB):



  http://knb.ecoinformatics.org/software/metacat/



Contributions to this work are welcome.  Please see the above web site

for details on how to contribute.



## Major Known Bugs or Feature Requests (see http://github.com/NCEAS/metacat/issues)

If you discover a bug please report it, either by email (above) or by using

our bug tracking system (http://github.com/NCEAS/metacat/issues). There is a

list of currently unimplemented issues that we are working on

for the next release.



## Citation



Cite this software as:



> Jing Tao, Matthew Brooke, Dou Mok, Matthew B. Jones. 2024. Metacat: Data Preservation and Discovery System (3.0.0). Arctic Data Center. Software. [doi:10.18739/A2VX0650Z](https://doi.org/10.18739/A2VX0650Z)



## Current Contributors



- Jing Tao ([email protected]) [ORCID: 0000-0002-1209-5268](https://orcid.org/0000-0002-1209-5268)

- Matthew Brooke ([email protected]) [ORCID: 0000-0002-1472-913X](https://orcid.org/0000-0002-1472-913X)

- Dou Mok ([email protected]) [ORCID: 0000-0002-6076-8092](https://orcid.org/0000-0002-6076-8092)

- Matthew B. Jones ([email protected]): [ORCID: 0000-0003-0077-4738](https://orcid.org/0000-0003-0077-4738)



## Previous Contributors



- Chad Berkley ([email protected])

- Jing Tao ([email protected])

- Jivka Bojilova ([email protected])

- Dan Higgins ([email protected])

- Saurabh Garg ([email protected])

- Duane Costa ([email protected])

- Veronique Connolly ([email protected])

- Chris Jones ([email protected])

- John Harris ([email protected])

- Callie Bowdish ([email protected])

- Will Tyburczy ([email protected])

- Matthew Perry ([email protected])

- Chad Burt ([email protected])

- Ben Leinfelder ([email protected])

- Chris Barteau ([email protected])

- Shaun Walbridge ([email protected])

- Michael Daigle ([email protected])

- Lauren Walker ([email protected])

- Peter Slaughter ([email protected])

- Rob Nahf ([email protected])

- Matthew Brooke ([email protected])



### Patch contributors

- Andrea Chadden ([email protected])

- Johnoel Ancheta ([email protected])

- Owen Jones ([email protected])



## Funding and Acknowledgements



This material is based upon work supported by the National Science Foundation under several grants along with the Department of Energy, the Mellon Foundation, and the Sloan Foundation.  Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF). Grant numbers (reverse chronological):



- NSF 2042102: Arctic Data Center (2021)

- DOE ESS-DIVE (2020)

- DOE ESS-DIVE (2017)

- NSF 1546024: Arctic Data Center (2015)

- NSF 1443062: MetaDIG (2014)

- NSF 1448821: Make Data Count (2014)

- NSF 1430508: DataONE (Data Observation Network for Earth) (2014)

- Mellon Foundation (2009)

- NSF 0830944: DataONE project (DataNet) (2008)

- Mellon Foundation (2006)

- NSF 0225676: SEEK project (ITR) (2002)

- NSF 99-04777: MARINE project (DBI) (1999)

- NSF 99-80154: KNB project (KDI) (1999)



This software is copyrighted by The Regents of the University of California

and the National Center for Ecological Analysis and Synthesis

and licensed under the GNU GPL; see the 'LICENSE' file for

details.



This product includes software developed by the Apache Software

Foundation (http://www.apache.org/). See the LICENSE file in lib/apache

for details.



The source code, object code, and documentation in the com.oreilly.servlet

package is copyright and owned by Jason Hunter. See the cos-license.html file

for details of the license.  Licensor retains title to and ownership of the

Software and all enhancements, modifications, and updates to the Software.



This software includes the JDBC driver for PostgreSQL. See the [postgresql-license.txt](.lib/postgresql-license.txt)

 file for details.



[![DataONE_footer](docs/_images/DataONE_Logo_Banner.png)](https://dataone.org)



[![nceas_footer](docs/_images/NCEAS_Logo4C_WhiteBkg.jpg)](https://www.nceas.ucsb.edu)