Difference between revisions of "ESA 2019 Data Help Desk"

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==About the Data Help Desk==
 
==About the Data Help Desk==
 
For the second year ecological data repositories and data specialists will collaborate at the Ecological Society of America's annual meeting to add a Data Help Desk (DHD) to the Poster/Exhibition Hall. The [https://environmentaldatainitiative.org/ Environmental Data Initiative (EDI)], [https://www.idigbio.org iDigBio], [https://www.esipfed.org/ Earth Science Information Partners (ESIP)], [https://www.dataone.org/ DataONE], [https://www.gbif.org/ GBIF], [https://www.neonscience.org/ NEON] and [https://arcticdata.io/ Arctic Data Center] will each engage participants one-on-one about their questions, comments and concerns about using these data in their discipline and area of research. The conference is in Louisville, Kentucky from August 11 - 16, 2019.
 
For the second year ecological data repositories and data specialists will collaborate at the Ecological Society of America's annual meeting to add a Data Help Desk (DHD) to the Poster/Exhibition Hall. The [https://environmentaldatainitiative.org/ Environmental Data Initiative (EDI)], [https://www.idigbio.org iDigBio], [https://www.esipfed.org/ Earth Science Information Partners (ESIP)], [https://www.dataone.org/ DataONE], [https://www.gbif.org/ GBIF], [https://www.neonscience.org/ NEON] and [https://arcticdata.io/ Arctic Data Center] will each engage participants one-on-one about their questions, comments and concerns about using these data in their discipline and area of research. The conference is in Louisville, Kentucky from August 11 - 16, 2019.
 +
 +
Other people and groups joining us in this effort to help ecologists address any data puzzlements include: Laura Brenskelle from UF in [https://sites.google.com/site/robgur/people Rob Guralnick's Lab], Kelsey Yule and Nico Franz from the [https://biorepo.neonscience.org/portal/index.php Biorepository Data Portal], Christina Alba from [https://www.botanicgardens.org/ Denver Botanic Gardens], and Rebekah Wallace from [https://www.eddmaps.org/ EDDMaps].
  
 
In addition to a collaborative outreach booth, the DHD members join the ESA 2019 career fair called '''[https://esa.org/louisville/career-fair/ Career Central]''' presenting on topics to help ESA foster the professional development of its members. The schedule below summarizes these career fair contributions. After this conference, all the materials developed for this event can be found linked on this page.
 
In addition to a collaborative outreach booth, the DHD members join the ESA 2019 career fair called '''[https://esa.org/louisville/career-fair/ Career Central]''' presenting on topics to help ESA foster the professional development of its members. The schedule below summarizes these career fair contributions. After this conference, all the materials developed for this event can be found linked on this page.
 +
 +
Some members also participated in a Special Session: [https://www.idigbio.org/wiki/index.php/ESA_2019_Biodiversity_Data_Dialogues Biodiversity Data Dialogues], convened by GBIF, iDigBio, and NEON.
  
 
===Schedule of Presentations/Software Demos===
 
===Schedule of Presentations/Software Demos===
 
{| class="wikitable"
 
{| class="wikitable"
! Day
+
! width=5% | Day
! Time
+
! width=5% | Time
! Speakers
+
! width=15% | Speakers
! Title
+
! width=20% | Title
! Description
+
! width=30% | Description
 
|-
 
|-
 
| Monday
 
| Monday
 
| 2:30-3:00
 
| 2:30-3:00
 
| Deborah Paul (iDigBio)
 
| Deborah Paul (iDigBio)
| Challenges Using Biodiversity Data: examples of what to look for
+
| [[Media:DataIssues_ESA2019_CareerCtrTalk_DPaul.pdf|Challenges Using Biodiversity Data]]: examples of what to look for
 
| Getting data from multiple sources means work to merge the information into a cohesive synthetic dataset. When preparing your datasets, find out about some issues to be aware of and to test for before you apply your research methods.
 
| Getting data from multiple sources means work to merge the information into a cohesive synthetic dataset. When preparing your datasets, find out about some issues to be aware of and to test for before you apply your research methods.
 
|-
 
|-
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| 3:00-3:30
 
| 3:00-3:30
 
| Dave Vieglais/Amber Budden (DataONE)
 
| Dave Vieglais/Amber Budden (DataONE)
| DataONE Skillbuilding Hub
+
| [[Media:DHD_SkillbuildingHub.pdf|DataONE Skillbuilding Hub]]
 
| Access and contribute to open data management education materials through a single community based hub.
 
| Access and contribute to open data management education materials through a single community based hub.
 
|-
 
|-
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| 3:30 - 4:30
 
| 3:30 - 4:30
 
| Kristin Vanderbilt (EDI/FCE LTER)/Amber Budden (DataONE)/Kyle Copas (GBIF)
 
| Kristin Vanderbilt (EDI/FCE LTER)/Amber Budden (DataONE)/Kyle Copas (GBIF)
| Intro to the Data Life Cycle,FAIR (Findable, Accessible, Interoperable, and Reusable) Data, and Data Citation
+
| [[Media:DHD2019_DLC_FAIR_Citationv5.pdf|Intro to the Data Life Cycle,FAIR (Findable, Accessible, Interoperable, and Reusable) Data, and Data Citation]]
 
| Learn about the FAIR guiding principles of research data management and data citation in the context of the Data Life Cycle.
 
| Learn about the FAIR guiding principles of research data management and data citation in the context of the Data Life Cycle.
 
|-
 
|-
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| 3:00-3:30
 
| 3:00-3:30
 
| Karl Benedict (ESIP/UNM Libraries)
 
| Karl Benedict (ESIP/UNM Libraries)
| ESIP Data Management Training Clearinghouse
+
| [[Media:ESA_DMTC_Introduction.pdf|ESIP Data Management Training Clearinghouse]]
 
| Learn how to find and share online learning resources for research data management using the ESIP Data Management Training Clearinghouse.
 
| Learn how to find and share online learning resources for research data management using the ESIP Data Management Training Clearinghouse.
 
|-
 
|-
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| 3:30-4:30
 
| 3:30-4:30
 
| Amber Budden (DataONE)/Jeanette Clark (Arctic Data Center)
 
| Amber Budden (DataONE)/Jeanette Clark (Arctic Data Center)
| Creating a Data Management Plan
+
| [[Media:DHD_DMP.pdf|Creating a Data Management Plan]]
 
| A comprehensive plan that describes how your data will be effectively managed during the life of the project and beyond is a valuable research tool in addition to a funder requirement. Learn the critical components of effective data management plans and explore tools that can support you in writing DMPs.
 
| A comprehensive plan that describes how your data will be effectively managed during the life of the project and beyond is a valuable research tool in addition to a funder requirement. Learn the critical components of effective data management plans and explore tools that can support you in writing DMPs.
 
|-
 
|-
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| 11:30-1:15
 
| 11:30-1:15
 
| Deborah Paul (iDigBio)/Karl Benedict (ESIP/UNM Libraries)
 
| Deborah Paul (iDigBio)/Karl Benedict (ESIP/UNM Libraries)
| Data Cleaning for Analysis and Publication Using R and OpenRefine Software Packages
+
| [[Media:DataCleaning_Benedict-Paul.pdf|Data Cleaning for Analysis and Publication Using R and OpenRefine Software Packages]]
| Data start life with issues: inconsistent content, missing values, entry errors, multiple values in single columns, and many others. Before any analysis or visualization can be done these issues must be resolved. This workshop will demonstrate processes within OpenRefine and R for making your data analysis ready and improving reproducibility.
+
: [https://github.com/unmrds/R-data-cleaning GitHub Repository with R code for this presentation.]
 +
| Data often start life with issues: inconsistent content, missing values, entry errors, multiple values in single columns, and many others. Before any analysis or visualization can be done these issues must be resolved. This workshop will demonstrate processes within OpenRefine and R for making your data analysis ready and improving reproducibility.
 
|-
 
|-
 
| Wednesday
 
| Wednesday
 
| 2:30 -3:00
 
| 2:30 -3:00
 
| Kelsey Yule (NEON)/Nico Franz (ASU)
 
| Kelsey Yule (NEON)/Nico Franz (ASU)
| Exploring the NEON Biorepository data portal with Symbiota and R
+
| [[Media:20190810_ESA_CareerCentral_smallerFileSize.pdf|Exploring the NEON Biorepository data portal with Symbiota and R]]
 
| Discover the NEON Biorepository data portal via Symbiota software. Find out how you can access this wealth of ecological data using R.
 
| Discover the NEON Biorepository data portal via Symbiota software. Find out how you can access this wealth of ecological data using R.
 
|-
 
|-
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| 3:00 - 3:30
 
| 3:00 - 3:30
 
| Jeanette Clark (Arctic Data Center/NCEAS)
 
| Jeanette Clark (Arctic Data Center/NCEAS)
| How to Create a Comprehensive Metadata Record
+
| [[Media:MetadataESA2019.pdf|How to Create a Comprehensive Metadata Record]]
 
| Quality metadata enhances the discovery of your data and facilitiates reproducible research. Learn the principles of creating a comprehensive metadata recordin this 30 minute session.
 
| Quality metadata enhances the discovery of your data and facilitiates reproducible research. Learn the principles of creating a comprehensive metadata recordin this 30 minute session.
 
|-
 
|-
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| 3:30 - 4:30
 
| 3:30 - 4:30
 
| Deborah Paul (iDigBio)/ Margaret O'Brien (EDI)/Jeanette Clark (ADC)/Amber Budden (DataONE)/Christine Laney (NEON)/            (GBIF)
 
| Deborah Paul (iDigBio)/ Margaret O'Brien (EDI)/Jeanette Clark (ADC)/Amber Budden (DataONE)/Christine Laney (NEON)/            (GBIF)
| Lightning Talks Introducing Data Repositories and Metadata Aggregators
+
| Lightning Talks  
 +
:[[Media:DHD2019LightningTalk.pdf|Introducing Data Repositories and (Meta)data Aggregators]]
 
| Learn about data repositories where you can deposit your datasets to meet funder or publisher requirements, as well as other services that provide data or support data discovery.
 
| Learn about data repositories where you can deposit your datasets to meet funder or publisher requirements, as well as other services that provide data or support data discovery.
 
|-
 
|-
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| 3:00-3:30
 
| 3:00-3:30
 
| Laura Brenskelle (iDigBio/VertNet)
 
| Laura Brenskelle (iDigBio/VertNet)
| Use the RiDigBio API to Access Biocollections Biodiversity Data
+
| [[Media:IDigBio_riDigBio_ESA2019.pdf|Use the RiDigBio API to Access Biocollections Biodiversity Data]]
 
| Get access to over 119 million natural science collection records across the tree of life. Discover trait data and media records using R in support of reproducible research.
 
| Get access to over 119 million natural science collection records across the tree of life. Discover trait data and media records using R in support of reproducible research.
 +
:The [https://drive.google.com/open?id=1go4BKvp1X0c_YaMidnrkW4c72Cnb_cTK R file] to walk through this lesson. (R file is in a Google Drive folder)
 
|-
 
|-
 
| Thursday
 
| Thursday
 
| 3:30-4:30
 
| 3:30-4:30
 
| Dmitry Schigel (GBIF)/Bill Michener (DataONE)
 
| Dmitry Schigel (GBIF)/Bill Michener (DataONE)
| How to Publish a Data Paper
+
| [[Media:GBIF_DataPapers_16Aug2019.pdf|How to Publish a Data Paper]]
 
| Data papers published as unstructured narratives can be challenging for data discovery, integration, and reuse. Alternative data paper models are available. We will outline the current status of data papers and show the main principles of data paper writing using the GBIF page: https://www.gbif.org/data-papers.
 
| Data papers published as unstructured narratives can be challenging for data discovery, integration, and reuse. Alternative data paper models are available. We will outline the current status of data papers and show the main principles of data paper writing using the GBIF page: https://www.gbif.org/data-papers.
 
|}
 
|}
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*[https://esa.org/louisville/career-fair/ Career Central at ESAUSSEE]: a career fair initiative at ESA 2019 expanding and amplifying the kinds of hands-on, practical career development content that all scientists need to advance.
 
*[https://esa.org/louisville/career-fair/ Career Central at ESAUSSEE]: a career fair initiative at ESA 2019 expanding and amplifying the kinds of hands-on, practical career development content that all scientists need to advance.
 
* [https://docs.google.com/spreadsheets/d/e/2PACX-1vTydhpUPTJOc4p4qj9meG-RNl6Y5gRnXpSfjYSYUw1tDHyYXnOnTTVEEMo6OadgZHv5lqeBRkxkpN7i/pubhtml?gid=0&single=true Career Central Events Schedule]: note the ESA 2019 Data Help Desk (DHD) partners participating in this ESA event.
 
* [https://docs.google.com/spreadsheets/d/e/2PACX-1vTydhpUPTJOc4p4qj9meG-RNl6Y5gRnXpSfjYSYUw1tDHyYXnOnTTVEEMo6OadgZHv5lqeBRkxkpN7i/pubhtml?gid=0&single=true Career Central Events Schedule]: note the ESA 2019 Data Help Desk (DHD) partners participating in this ESA event.
* Career Central DHD Talk Slides to be linked here.
+
* Career Central DHD Talk Slides linked above in the table.
 +
* [http://dmtclearinghouse.esipfed.org/ ESIP Data Management Training Clearinghouse]
 +
* [https://www.dataone.org DataONE]
 +
* [https://dataoneorg.github.io/Education/ Data Management Skillbuilding Hub]
 +
* [https://search.dataone.org DataONE Search]
 +
* [https://dmptool.org Data Management Planning Tool - DMPTool]
 +
* [https://arcticdata.io Arctic Data Center]
 +
 
 +
=== Where to Find the Data Help Desk and Career Central Presentations ===
 +
[[File:ExhibitHall_ESA2019.png|left|400px]]

Latest revision as of 16:29, 25 January 2020

Quick Links for ESA Help Desk
Ecological Society of America
Arctic Data Center


Data ONE


Environmental Data Initiative


Earth Science Information Partners


Global Biodiversity Information Facility
Integrated Digitized Collections


The National Ecological Observatory Network


Date: August 11 - 16, 2019
Louisville, KY
Agenda
Resources

About the Data Help Desk

For the second year ecological data repositories and data specialists will collaborate at the Ecological Society of America's annual meeting to add a Data Help Desk (DHD) to the Poster/Exhibition Hall. The Environmental Data Initiative (EDI), iDigBio, Earth Science Information Partners (ESIP), DataONE, GBIF, NEON and Arctic Data Center will each engage participants one-on-one about their questions, comments and concerns about using these data in their discipline and area of research. The conference is in Louisville, Kentucky from August 11 - 16, 2019.

Other people and groups joining us in this effort to help ecologists address any data puzzlements include: Laura Brenskelle from UF in Rob Guralnick's Lab, Kelsey Yule and Nico Franz from the Biorepository Data Portal, Christina Alba from Denver Botanic Gardens, and Rebekah Wallace from EDDMaps.

In addition to a collaborative outreach booth, the DHD members join the ESA 2019 career fair called Career Central presenting on topics to help ESA foster the professional development of its members. The schedule below summarizes these career fair contributions. After this conference, all the materials developed for this event can be found linked on this page.

Some members also participated in a Special Session: Biodiversity Data Dialogues, convened by GBIF, iDigBio, and NEON.

Schedule of Presentations/Software Demos

Day Time Speakers Title Description
Monday 2:30-3:00 Deborah Paul (iDigBio) Challenges Using Biodiversity Data: examples of what to look for Getting data from multiple sources means work to merge the information into a cohesive synthetic dataset. When preparing your datasets, find out about some issues to be aware of and to test for before you apply your research methods.
Monday 3:00-3:30 Dave Vieglais/Amber Budden (DataONE) DataONE Skillbuilding Hub Access and contribute to open data management education materials through a single community based hub.
Monday 3:30 - 4:30 Kristin Vanderbilt (EDI/FCE LTER)/Amber Budden (DataONE)/Kyle Copas (GBIF) Intro to the Data Life Cycle,FAIR (Findable, Accessible, Interoperable, and Reusable) Data, and Data Citation Learn about the FAIR guiding principles of research data management and data citation in the context of the Data Life Cycle.
Tuesday 3:00-3:30 Karl Benedict (ESIP/UNM Libraries) ESIP Data Management Training Clearinghouse Learn how to find and share online learning resources for research data management using the ESIP Data Management Training Clearinghouse.
Tuesday 3:30-4:30 Amber Budden (DataONE)/Jeanette Clark (Arctic Data Center) Creating a Data Management Plan A comprehensive plan that describes how your data will be effectively managed during the life of the project and beyond is a valuable research tool in addition to a funder requirement. Learn the critical components of effective data management plans and explore tools that can support you in writing DMPs.
Wednesday 11:30-1:15 Deborah Paul (iDigBio)/Karl Benedict (ESIP/UNM Libraries) Data Cleaning for Analysis and Publication Using R and OpenRefine Software Packages
GitHub Repository with R code for this presentation.
Data often start life with issues: inconsistent content, missing values, entry errors, multiple values in single columns, and many others. Before any analysis or visualization can be done these issues must be resolved. This workshop will demonstrate processes within OpenRefine and R for making your data analysis ready and improving reproducibility.
Wednesday 2:30 -3:00 Kelsey Yule (NEON)/Nico Franz (ASU) Exploring the NEON Biorepository data portal with Symbiota and R Discover the NEON Biorepository data portal via Symbiota software. Find out how you can access this wealth of ecological data using R.
Wednesday 3:00 - 3:30 Jeanette Clark (Arctic Data Center/NCEAS) How to Create a Comprehensive Metadata Record Quality metadata enhances the discovery of your data and facilitiates reproducible research. Learn the principles of creating a comprehensive metadata recordin this 30 minute session.
Wednesday 3:30 - 4:30 Deborah Paul (iDigBio)/ Margaret O'Brien (EDI)/Jeanette Clark (ADC)/Amber Budden (DataONE)/Christine Laney (NEON)/ (GBIF) Lightning Talks
Introducing Data Repositories and (Meta)data Aggregators
Learn about data repositories where you can deposit your datasets to meet funder or publisher requirements, as well as other services that provide data or support data discovery.
Thursday 3:00-3:30 Laura Brenskelle (iDigBio/VertNet) Use the RiDigBio API to Access Biocollections Biodiversity Data Get access to over 119 million natural science collection records across the tree of life. Discover trait data and media records using R in support of reproducible research.
The R file to walk through this lesson. (R file is in a Google Drive folder)
Thursday 3:30-4:30 Dmitry Schigel (GBIF)/Bill Michener (DataONE) How to Publish a Data Paper Data papers published as unstructured narratives can be challenging for data discovery, integration, and reuse. Alternative data paper models are available. We will outline the current status of data papers and show the main principles of data paper writing using the GBIF page: https://www.gbif.org/data-papers.

Resources

Where to Find the Data Help Desk and Career Central Presentations

ExhibitHall ESA2019.png