IDigBio Workshops: Difference between revisions

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|09/28/2015 - 10/02/2015
|09/28/2015 - 10/02/2015
| valign="top"|Symposium+DEMO at BIS TDWG 2015 Biodiversity Data Mobilization Models:  
|valign="top"|Symposium+DEMO at BIS TDWG 2015 Biodiversity Data Mobilization Models:  
Data Carpentry, Crowd Transcription and …your data mobilization models.
Data Carpentry, Crowd Transcription and …your data mobilization models.
| valign="top"|This symposium with demos focuses broadly on models for biodiversity data mobilization. Learn about models you can use to image your specimens and capture the data.... in ways that align with biodiversity data standards and established protocols. What models are out there now that faciliate digitization of natural history collections data and data use? Where do we find these models? Do they incorporate outreach and collaboration? How do these models give researchers faster access to more and better, more fit-for-use data? Do researchers, custodians of biodiversity data, and citizen scientists have the skills needed to create, use, and re-use the data?   
|valign="top"|This symposium with demos focuses broadly on models for biodiversity data mobilization. Learn about models you can use to image your specimens and capture the data.... in ways that align with biodiversity data standards and established protocols. What models are out there now that faciliate digitization of natural history collections data and data use? Where do we find these models? Do they incorporate outreach and collaboration? How do these models give researchers faster access to more and better, more fit-for-use data? Do researchers, custodians of biodiversity data, and citizen scientists have the skills needed to create, use, and re-use the data?   
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*Link to Symposium Wiki
*Link to Symposium Wiki
*Link to Symposium Schedule
*Link to Symposium Schedule
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|09/21/2015 - 09/25/2015
|09/21/2015 - 09/25/2015
| valign="top"|(2-day) iDigBio and Data Carpentry Workshop at Biodiversity Informatics Training Week (pre-BIS TDWG).
|valign="top"|(2-day) iDigBio and Data Carpentry Workshop at Biodiversity Informatics Training Week (pre-BIS TDWG).
| valign="top"|Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Our curriculum for this Data Carpentry workshop includes: Data organization in spreadsheets and data cleaning with OpenRefine, Intro to and Data management in SQL, Introduction to R or Python (based on attendees’ preference)
|valign="top"|Data Carpentry's aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. Our curriculum for this Data Carpentry workshop includes: Data organization in spreadsheets and data cleaning with OpenRefine, Intro to and Data management in SQL, Introduction to R or Python (based on attendees’ preference)
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*Link to Workshop Wiki
*Link to Workshop Wiki
*Link to Workshop Agenda
*Link to Workshop Agenda
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|09/15/2015 - 09/17/2015
|09/15/2015 - 09/17/2015
| valign="top"| [https://www.idigbio.org/wiki/index.php/Managing_Natural_History_Collections_Data_for_Global_Discoverability Managing Natural History Collections Data for Global Discoverability].
|valign="top"| [https://www.idigbio.org/wiki/index.php/Managing_Natural_History_Collections_Data_for_Global_Discoverability Managing Natural History Collections Data for Global Discoverability].
| valign="top"|What are the current and best data management practices for collections? This three-day workshop is co-sponsored by Arizona State University (ASU) and iDigBio and hosted by ASU. It offers hands-on training and focuses on data management skills needed for taking care of the digital collection in a natural history museum. What are best practices for getting field data into databases? How do you encourage and support born-digital data? Is your data formatted with up-to-date data quality standards in mind from start to use / re-use?
|valign="top"|What are the current and best data management practices for collections? This three-day workshop is co-sponsored by Arizona State University (ASU) and iDigBio and hosted by ASU. It offers hands-on training and focuses on data management skills needed for taking care of the digital collection in a natural history museum. What are best practices for getting field data into databases? How do you encourage and support born-digital data? Is your data formatted with up-to-date data quality standards in mind from start to use / re-use?
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*[[Managing Natural History Collections Data for Global Discoverability|Workshop Wiki]]
*[[Managing Natural History Collections Data for Global Discoverability|Workshop Wiki]]
*[[Managing Natural History Collections Data for Global Discoverability#Agenda|Workshop Agenda]]
*[[Managing Natural History Collections Data for Global Discoverability#Agenda|Workshop Agenda]]
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