Ag Data Commons user tutorial screen capture

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!

Question and answer logo

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.

Big Data Summer logo

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.

Registration questions:

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 registrations@iastate.edu. 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/

NAL PubAg search platform

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.

CAAFI logo

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.

The 2016 Evaluations Summary Table compiles the ratings for various feedstocks and can be visualized in a customized graph form on the data resource page for that dataset.

Feedstock evaluations summary chart

We are excited to welcome the Farm 2 Fly Program to the Ag Data Commons!

GODAN logo

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 logo for 200 datasets

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:

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.

USAIN Conference and Ag Data Commons cover banner

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.

New and improved button image

We have added new and improved features to the Ag Data Commons, including:

  • The ability to download a single zipped file containing all the resource files and metadata for a given record
  • Cloning of datasets for convenient duplication of datasets with similar fields
  • The option to add multiple points and / or polygons to the map
  • The ability to add multiple program and bureau codes to a single record

Check back regularly to see the latest additions and features to the Ag Data Commons!

NISO logo

On February 17, Ursula Pieper gave a presentation at the Using Open Source in Your Institution (NISO Virtual Conference) hosted by NISO - the National Information Standards Organization, which highlighted some of the work done on open source projects at the National Agricultural Library in conjunction with the Ag Data Commons.

Download and view the slide deck used during her presentation titled Yes, It Can Be Done! Open Source Based Web Sites at the National Agricultural Library.