SPNHC 2022 Data Help Desk: Difference between revisions
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=Resources= | =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 | ==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 | |||
==Planning for data management== | |||
* [https:// | * [https://dmptool.org Data Management Planning Tool] | ||
== | ==Tools for data management== | ||
* [https:// | * [https://spnhc.biowikifarm.net/wiki/Software_Resources Software Resources], on the SPNHC wiki | ||
* [https://www. | * [https://www.idigbio.org/wiki/index.php/Collections_Management_Systems Collections Management Systems (CMS)], on the iDigBio wiki | ||
* [https:// | * [https://openrefine.org/ OpenRefine], and [https://www.idigbio.org/wiki/index.php/Resources_for_using_OpenRefine Resources for using OpenRefine] | ||
== | ==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] | |||
Revision as of 18:18, 23 May 2022
About
For most collections professionals, a (relatively) new reality of the job is that they must manage data about specimens as well as the specimens themselves. The SPNHC 2022 Data Help Desk will provide conference attendees with an opportunity to stop by our booth and ask data-related questions in an informal and personal setting. Our local presence at the conference is paired with a concurrent virtual Data Help Desk.
| SPNHC 2022 Data Help Desk Partners | ||
| Organization | About | People representing |
|---|---|---|
| Arctos | Teresa J. Mayfield-Meyer | |
| Biodiversity Data Standards (TDWG) | Deborah Paul | |
| Botanical Research Institute of Texas | Jason Best | |
| DiSSCo Prepare | Sabine von Mering, Julia Pim Reis | |
| iDigBio | iDigBio is the central coordinating unit for the United States’ national effort to digitize natural history collections, including biological and paleontological specimens. iDigBio is a collaborative project based at the University of Florida, Florida State University, and Arizona State University that has been continuously funded by the U.S. National Science Foundation (NSF) since 2011. iDigBio’s primary goal is to catalyze excellence in digitization, mobilization, and usage of data about the biodiversity specimens curated in U.S. biodiversity collections for research and education. | Erica Krimmel, Lauren Cohen, Cat Chapman (virtually) |
| Species File Group | Deborah Paul | |
| Specify Collections Consortium | Andy Bentley (virtually) | |
| Symbiota Support Hub | Katie Pearson | |
| TaxonWorks | Deborah Paul | |
How to participate
1. Stop by our booth at SPNHC 2022 in Edinburgh and ask a question! See the schedule of activities below.
2. Ask a question asynchronously via TBD. This will be live for the duration of the conference, and subsequently archived on this wiki page.
3. Ask a question asynchronously via the #data-help-desk channel in the SPNHC Slack workspace. Join the SPNHC Slack here if you haven't already!
Schedule of activities
Please see the website for a full conference program. The table below highlights activities being organized as part of the Data Help Desk, which will take place in the conference exhibitor hall at a booth sponsored by iDigBio.
| Monday, June 6th - McEwan Hall | ||
| Time | Program | Data Help Desk Activity |
|---|---|---|
| 10:30 - 11:00 | Break | Booth staffed with data help desk partners |
| 13:00 - 14:30 | Lunch | Booth staffed with data help desk partners |
| 16:00 - 16:30 | Break | Booth staffed with data help desk partners |
| Tuesday, June 7th - McEwan Hall | ||
| Time | Program | Data Help Desk Activity |
| 09:00 - 09:30 | Pre-session | Booth staffed with data help desk partners |
| 11:00 - 11:30 | Break | Booth staffed with data help desk partners |
| 13:00 - 14:00 | Lunch | Booth staffed with data help desk partners |
| 15:30 - 16:00 | Break | Booth staffed with data help desk partners |
| Wednesday, June 7th - McEwan Hall | ||
| Time | Program | Data Help Desk Activity |
| 09:00 - 09:30 | Pre-session | Booth staffed with data help desk partners |
| 11:00 - 11:30 | Break | Booth staffed with data help desk partners |
| 13:00 - 14:00 | Lunch | Booth staffed with data help desk partners |
| 15:30 - 16:00 | Break | Booth staffed with data help desk partners |
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
- DataONE Data Management Skillbuilding Hub
- ESIP Data Management Training Clearinghouse
- The Carpentries online and locally hosted courses on a variety of topics
Planning for data management
Tools for data management
- Software Resources, on the SPNHC wiki
- Collections Management Systems (CMS), on the iDigBio wiki
- OpenRefine, and Resources for using OpenRefine
Accessing digital data
- Reading data directly into your analysis script: Introduction to APIs (recorded presentation)
- Biodiversity Specimen Data, a collection of specific use cases of biodiversity specimen data, documented conceptually and, where possible, linked to technical solutions
- Biodiversity Informatics 101, materials from a workshop at Biodiversity Next in 2019]