The Ag Data Commons celebrates the publication of our 300th dataset record today! Thank you to all the researchers who created dataset records to make their data more open and accessible.
Join us for a webinar geared toward beginner Ag Data Commons users on Wednesday, November 8 from 1-2PM EST. We will give a brief overview of the Ag Data Commons, walk users through the submission process, and have some time for questions.
The original air date of this webinar has passed, but you can view our Ag Data Commons User Instruction Series on the National Agricultural Library's YouTube channel. These video tutorials review much of the webinar's live demo content.
Webinar: Introduction to the Ag Data Commons
Time: Wednesday, November 8, 2017 @ 1:00 PM -2:00 PM EST
This webinar is a basic introduction to the Ag Data Commons. It is intended for researchers who may be submitting data to Ag Data Commons. We will focus on creating datasets and uploading or linking to data resources, rather than how to find and use datasets that others have submitted. We will cover:
• A brief overview of the Ag Data Commons system, including what to submit
• How to create and edit a dataset
• How to add a data resource
• How to submit your dataset for review
• Other tips for using the Ag Data Commons for individuals and groups
For more information please contact NAL-ADC-Curator@ars.usda.gov
The Ag Data Commons has developed one more way to aid users in understanding and completing the process for submitting a dataset: the Ag Data Commons User Instruction video series. This playlist on the National Agricultural Library's YouTube channel covers the step by step process for using and submitting data in easy to follow chapters that let you choose the specific area you would like more information. Visit the playlist to watch the videos, and let us know if there are any topics you would like to see covered in future instruction videos!
Join us for a Q&A session about the Ag Data Commons on Wednesday, August 30 from 1-2PM EST. If you are a prospective user looking for a place to house your data, or a registered user with questions about the interface or process, this is your chance to ask our curators questions in real time! To RSVP, email us at NAL-ADC-Curator@ars.usda.gov and we will send you details with instructions on how to join the webinar.
The 2017 Midwest Big Data Summer School for Early Career Researchers will be held from July 10-14, 2017 in Ames, Iowa. This summer school is designed as a one week, intensive curriculum aimed at early career researchers to get them started in data-driven research. The school will include full day lectures on topics ranging from: data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context.
The last two days of the summer school consists of tracks where each individual track focuses on a subarea of big data analysis. This years tracks include: Foundations of Data Science, Software Analytics, and Digital Agriculture. Each track consist of tutorials and invited lectures that highlight current research methodologies and challenges. Participants can choose a track that they wish to attend.
Venue: The Midwest Big Data Summer School will be held at the Iowa State University Memorial Union located at 2229 Lincoln Way, Ames, IA 50011. Badges can be picked up at 8am on July 10, 2017, and school sessions will start promptly at 8:30am on each of the school days (July 10-14, 2017).
Registration: The registration fee for the summer school is $75 for regular registration and $50 for student registration. There is limited space so send your registration soon. If you are interested in attending the summer school go to online registration form.
- Early registration (Ends on June 9th) - Early regular registration fee is $75 and early student registration fee is $50.
- Regular registration (June 10-30th) - Regular registration fee is $100 and student registration is $75.
- Late registration (July 1-7th) - Late registration fee is $150 and late student registration is $100.
- Email - firstname.lastname@example.org
- Fax - 515.232.6716
- Tel - 515.295.6222
Change in plans: If you cannot attend, you may send a substitute. If you cancel your registration on or before June 15, 2017, your registration fee will be refunded minus a $15 administration fee. All cancellations must be in writing and sent to Registration Services at email@example.com. No refunds will be made after June 15.
Travel Support: We have limited amount of travel support available for non-ISU participants. Travel support may include your registration fee, shared lodging and/or meals while attending the summer school. To be considered for travel support, please register by June 09, 2017 5:00pm and apply for travel support while registering. See above for registration information.
For more info, see: http://mbds.cs.iastate.edu/2017/
PubAg - NAL's exciting new search and discovery system for agricultural publications - includes links to supporting datasets, including those cataloged in Ag Data Commons. Links in the opposite direction are also given in Ag Data Commons dataset records, pointing from the data to associated primary/data papers, methods citations, and related articles. In PubAg, the dataset links are located in the Datasets: field, and in Ag Data Commons, the PubAg link is coded as the AgId: identifier for full-text access. The continued enhancement of data and publication linking will help support information discovery, reuse and innovation.
The Farm 2 Fly Program is the newest program to join the Ag Data Commons, with their Feedstock Readiness Level (FSRL) Evaluations. The FSRL is a communication tool for evaluating production, market, and policy maturity of feedstocks for a particular use, specifically, alternative fuel production technologies. Visit the Farm 2 Fly program page and browse some of the evaluations they have published so far. Also included is a FSRL Checklist and Report Template for performing a feedstock evaluation, as well as examples of a complete checklist and report to show what is expected. Instructions for performing an evaluation are located in the first sheet of the template.
We are excited to welcome the Farm 2 Fly Program to the Ag Data Commons!
The Ag Data Commons was one of the open data products announced by the US Department of Agriculture at the recent 2016 Global Open Data for Agriculture and Nutrition summit. A team from the National Ag Library demonstrated our data repository along with a number of other NAL-related data systems in an exhibit for GODAN attendees.
Ag Data Commons recently published its 200th dataset with many more in the pipeline. The repository/registry is becoming an important part of the agricultural/environmental information ecosystem. We now house open data for a number of recently published articles, for example:
Knaus, Brian; Tabima, Javier; Judelson, Howard; Niklaus Grünwald (2015). Data from: Genomic analyses of dominant US clonal lineages of Phytophthora infestans reveals a shared ancestry for US11 and US18 and a lack of recently shared ancestry for all other US lineages. Ag Data Commons. http://dx.doi.org/10.15482/USDA.ADC/1224913.
Evans, Jay D. (2016). Data from: Transcriptomic and functional resources for the Small Hive Beetle Aethina tumida, a worldwide parasite of honey bees. Ag Data Commons. http://dx.doi.org/10.15482/USDA.ADC/1253745.
In addition, new studies are beginning to cite datasets in Ag Data Commons:
Kullberg, E.G., K.C. DeJonge, and J.L. Chávez (2016), Evaluation of thermal remote sensing indices to estimate crop evapotranspiration coefficients, Agricultural Water Management, (in press) Available online 18 July 2016, http://dx.doi.org/10.1016/j.agwat.2016.07.007. (cites Trout, Thomas (2016). USDA-ARS Colorado Maize Water Productivity Dataset 2008-2011. Ag Data Commons. http://dx.doi.org/10.15482/USDA.ADC/1254006)
Sharma, A.I. et al. (2016), The phenotypic plasticity of developmental modules, EvoDevo 7: 15. http://dx.doi.org/10.1186/s13227-016-0053-7. (cites Vargas Jentzsch IM, Hughes DST, Poelchau M et al. Oncopeltus fasciatus official gene set v1.1. Ag Data Commons. 2015. http://dx.doi.org/10.15482/USDA.ADC/1173142)
The continued growth and adoption of Ag Data Commons for researchers to deposit, curate, share, and reuse data is a reflection of the standards-based, open data approach built into the system.
Ag Data Commons was highlighted in several sessions of the biennial United States Agricultural Information Network (USAIN) meeting held April 25-27, 2016 at the University of Florida in Gainesville. We presented An overview of the Ag Data Commons: a new USDA catalog and repository for agricultural research data and offered two posters, including "Comparing Metadata Across Disciplinary and Institutional Data Repositories: Lessons for Good Data Publishing Solutions" with colleagues from Purdue University and Johns Hopkins University.