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ADBC Summit 2018: Difference between revisions
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| '''Communicating Science''' ''Natasza Fontaine & Austin Mast''<br> | | '''Communicating Science''' ''Natasza Fontaine & Austin Mast''<br> | ||
[https://docs.google.com/document/d/1kw4goTd7ADZ7ELnJSronIkQ0oXkS11qRnB2wLpVy3kk/edit?usp=sharing Session Notes]<br> | [https://docs.google.com/document/d/1kw4goTd7ADZ7ELnJSronIkQ0oXkS11qRnB2wLpVy3kk/edit?usp=sharing Session Notes]<br> | ||
| ''' | | '''Building Institutional Digitization Synergy''' ''Kevin Love, Deborah Paul, & Larry Page''<br> | ||
[https://docs.google.com/document/d/ | [https://docs.google.com/document/d/1Hnua7HDXCDCPCa5zaVMsem4I18yD47IMWsi_EZgo4ks/edit?usp=sharing Session Notes]<br> | ||
Data mobilization doesn’t (have to) stop when digitization is complete or grant funds have been exhausted. In this discussion group, we will explore how efforts, like a local digitization committee or leveraging institutional resources and policy, can inspire data mobilization across your collaborators' institutions. | |||
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[https://docs.google.com/document/d/171CknrnE8JQD2sAhukxYqXCGS-9YGSrdJ_z7p1UHveY/edit?usp=sharing Session Notes]<br> | [https://docs.google.com/document/d/171CknrnE8JQD2sAhukxYqXCGS-9YGSrdJ_z7p1UHveY/edit?usp=sharing Session Notes]<br> | ||
Quality data is essential as a foundation for analytical, synthetic, and AI research. Anyone providing data to an aggregator or downloading data from an aggregator can make use of the data quality feedback offered. If you use this information, we would like to hear about how you use it (or not) and ways in which all of us can work on improving data quality (dq). From researcher, policy maker, graduate student, collection manager, curator, educator, and museum director, we all have a role to play. We also plan to share some of what we learned from a recent survey and symposium at SPNHC-TDWGNZ -- on this topic. And, we'll share some ideas for possible future changes to dq feedback from iDigBio as well as recent progress from the TDWG Data Quality Interest Group and iDigBio implementation plans. | Quality data is essential as a foundation for analytical, synthetic, and AI research. Anyone providing data to an aggregator or downloading data from an aggregator can make use of the data quality feedback offered. If you use this information, we would like to hear about how you use it (or not) and ways in which all of us can work on improving data quality (dq). From researcher, policy maker, graduate student, collection manager, curator, educator, and museum director, we all have a role to play. We also plan to share some of what we learned from a recent survey and symposium at SPNHC-TDWGNZ -- on this topic. And, we'll share some ideas for possible future changes to dq feedback from iDigBio as well as recent progress from the TDWG Data Quality Interest Group and iDigBio implementation plans. | ||
| ''' | | '''Challenges in Research Use of Data''' ''Pam Soltis''<br> | ||
[https://docs.google.com/document/d/ | [https://docs.google.com/document/d/16x4g0Bf9KYJH3VcuzNSBhCAG0-Cn0Mjd329AWIm2ZeM/edit?usp=sharing Session Notes]<br> | ||
We now have millions of digitized specimen records available for use in research, education, and other applications. Yet researchers face many challenges as they attempt to use these data. In this session, we will discuss ongoing challenges of data completeness, data quality, and fitness for use and possible solutions. We will also explore novel data types extracted from digitized specimen records – whether text or images – and consider community needs for effective use of these data in research. | |||
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