SPNHC 2022 Data Help Desk: Difference between revisions

SPNHC 2022 Data Help Desk (view source)

Revision as of 18:18, 23 May 2022

601 bytes added , 23 May 2022

→‎Resources

Ekrimmel

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 =Resources=
+The lists of resources below will expand based on the questions we receive from you over the course of this Data Help Desk!
-==Learning Data Skills and Best Practices==
+==Learning data skills==
+* [https://dataoneorg.github.io/Education/ DataONE Data Management Skillbuilding Hub]
+* [http://dmtclearinghouse.esipfed.org/ ESIP Data Management Training Clearinghouse]
+* [https://carpentries.org/ The Carpentries] online and locally hosted courses on a variety of topics
-* [http://dmtclearinghouse.esipfed.org/ ESIP Data Management Training Clearinghouse]
+==Planning for data management==
-* [https://dataoneorg.github.io/Education/ Data Management Skillbuilding Hub]
+* [https://dmptool.org Data Management Planning Tool]
-* [https://carpentries.org/ The Carpentries]
-* [https://biodiversity-specimen-data.github.io/specimen-data-use-case/ GitHub repo with specific use cases of biodiversity specimen data, documented conceptually and, where possible, linked to technical solutions]
-==Planning for Data Management==
+==Tools for data management==
-* [https://dmptool.org Data Management Planning Tool - DMPTool]
+* [https://spnhc.biowikifarm.net/wiki/Software_Resources Software Resources], on the SPNHC wiki
-* [https://www.re3data.org/ Registry of Research Data Repositories]
+* [https://www.idigbio.org/wiki/index.php/Collections_Management_Systems Collections Management Systems (CMS)], on the iDigBio wiki
-* [https://zenodo.org/record/1475430#.XymT9C2ZNTZ Data Repository Selection Decision Tree for Researchers in the Earth, Space, and Environmental Sciences]
+* [https://openrefine.org/ OpenRefine], and [https://www.idigbio.org/wiki/index.php/Resources_for_using_OpenRefine Resources for using OpenRefine]
-==Data access==
+==Accessing digital data==
-* [https://vimeo.com/444924504 Reading data directly into your analysis script: Introduction to APIs]
+* [https://vimeo.com/444924504 ''Reading data directly into your analysis script: Introduction to APIs''] (recorded presentation)
+* [https://biodiversity-specimen-data.github.io/specimen-data-use-case/ Biodiversity Specimen Data], a collection of specific use cases of biodiversity specimen data, documented conceptually and, where possible, linked to technical solutions
+* [https://github.com/tdwg/curriculum/blob/master/biodiversity-informatics-101/bi101_schedule_2019.md Biodiversity Informatics 101], materials from a workshop at ''Biodiversity Next'' in 2019]