CADRE has its own website now. Read our latest blog posts and stay updated on all things CADRE there.
If you need to get in contact with the CADRE team, you can email us at cadre@iu.edu.
CADRE has its own website now. Read our latest blog posts and stay updated on all things CADRE there.
If you need to get in contact with the CADRE team, you can email us at cadre@iu.edu.
The CADRE team is hard at work developing a platform that will do what academic libraries have long been trying to achieve.
We are gearing up for ISSI 2019 in September, where CADRE will hold a workshop and tutorial. Our hands-on CADRE tutorial at ISSI will offer an option to use assisted programming to access Microsoft Academic Graph (MAG), as well as a second option that will allow access to the dataset using the CADRE Query Builder, which uses a graphical user interface.
But building a platform that allows novice coders to easily query massive datasets with a GUI is a lengthy process of trial and error—and that is only one component of CADRE.
Building CADRE is a complex and fluid task: Along with the Web of Science (WoS) and MAG datasets, CADRE will include U.S. patent and trademark data. And more datasets will be added to the platform as different types of researchers request access.
IUNI Lead Software Engineer Ben Serrette says because of the potential to take on more datasets, software solutions must be as generic and adaptable as possible. Like fitting and refitting the pieces of a complex puzzle that keeps changing shape, the IUNI IT team is solving multi-faceted problems with a flexible approach on an enormous scale.
Find out how they’re doing it below.
If you want to stay updated on what CADRE is doing, be sure to follow us on Twitter.
In our last blog you met the CADRE Fellows. Now, meet the CADRE Owl!
That’s right, CADRE has a logo. More than a picture, our logo represents who we are.
For Jessie Ma, the UI/UX designer at the Indiana University Network Science Institute, who has taken the lead on designing CADRE’s visuals, an owl aligned perfectly with CADRE’s mission.
Ma says CADRE is a project designed to make valuable and complex large library data resources approachable to any academic researcher, regardless of their skill level in handling such data.
An owl is not just beautiful, it is a symbol of wisdom and a known powerful predator. Ma says this is exactly how CADRE resonates with her: a powerful system filled with complex big data wrapped in a user-friendly interface that allows even non-experienced coders to tame the data.
But to not go too deep, she adds that owls are pretty cute. A friendly mascot like the CADRE Owl helps balance a project that seems very technical and complicated to those who aren’t familiar with it.
The CADRE Owl has come a long way. The original version was a complex illustration that included the owl with glasses, hard drives to perch on, and a network backdrop. But after months of brainstorming and refining, Ma’s end product became a sharp, playful owl profile.
Even though she streamlined the logo to make it cleaner and easier to stamp across any outreach materials, Ma included details that would make the CADRE Owl feel a bit more connected to the project, including the owl’s network necklace and her creative take on an owl’s facial disc. All in all, Ma and the rest of the CADRE team are excited to be represented by the CADRE Owl.
July has been a busy month for CADRE—not only have we created our visual identity, but we also selected our first class of CADRE Fellows. We have so much more news to come, including our new website publishing soon.
We’ll also be presenting a webinar about CADRE on Aug. 8 for the OCLC Research Works in Progress Webinar Series. Don’t forget to register.
Keep your head on a swivel: Follow us on Twitter so you don’t miss a thing!
The Collaborative Archive & Data Research Environment (CADRE) accepted its first class of CADRE Fellows.
These seven fellowship teams span across disciplines and offer compelling research that incorporates big data and bibliometrics. Each fellow team will access CADRE’s Web of Science (WoS) and Microsoft Academic Graph (MAG) datasets to achieve their research goals.
Our fellows will present their research at the International Society for Scientometrics and Informetrics (ISSI) 2019 Conference in Rome at either the workshop or tutorial that CADRE is hosting on Sept. 2.
Not only will these fellows show how CADRE helped advance their work, they will serve as integral use cases for how we develop our platform to suit the needs of every type of academic researcher.
We plan to accept fellows on a rolling basis in the future, as spots become available. If you are interested in applying, email us at cadre@iu.edu.
Now, let’s meet the research teams!
Utilizing Data Citation for Aggregating, Contextualizing, and Engaging with Research Data in STEM Education Research from Purdue University
Researchers:
Researchers will characterize citation of data from the literature in the field of STEM education research. A sample of relevant publication venues in the field will be identified from WoS and MAG. Digital Object Identifiers (DOIs) of datasets registered with DataCite will be used to query and associate datasets with publications. The team will assess rates of citation for datasets that are cited using DataCite DOIs for each publication venue and analyze a sample of data citations and publications to determine suitability for providing an initial context to help a researcher who is unfamiliar with the data determine whether to use the dataset.
Researchers:
The research team seeks to find the “deeper” and “broader” impact of network-based citation measurements in the scientific community. This project will determine the citation impact of scientific publications using an ego-centered citation network, which contains the citing relationships between a publication and its citing publications, as well as the relationships within its citing publications. Researchers will use the entirety of the WoS and MAG data to establish empirical evidence in this project.
Researchers:
This project will build on the WoS report “Navigating the Structure of Research on Sustainable Development Goals (SDG),” as the researchers search for patterns of global collaboration and support the United Nations’ SDG call for action. Researchers will design a prototype to analyze and visualize the input-output of partnerships over time in SDG-supportive research. They also plan to create a scoring measure or partnership index that defines and conducts partnership analytics for SDGs by using data sourced from WoS and MAG.
Researchers:
Researchers plan to determine the impact of the introduction and availability of long-distance flights on international scientific collaboration. The team will measure collaboration through co-authorship and co-affiliation. They will also geocode publication affiliations from WoS and MAG from 1998 through 2017. This quasi-experimental research will apply state-of-the-art causal modeling techniques and explore how data-driven causality can enhance science of science policy relevance.
Researchers:
This research team wants to better characterize scientific influence of papers, typically measured by how many times papers are cited, by distinguishing between papers that destabilize existing knowledge with novel concepts and papers that consolidate existing knowledge. In a separate but closely related aim, the researchers also plan to create a novel unsupervised machine learning technique for author-name disambiguation by pulling abstract, title, and citation data from WoS and MAG. For both aims, the CADRE platform will provide essential infrastructure in terms of large-scale data storage and high performance computational resources.
Researchers:
Researchers will perform a comparative analysis on papers published in four mathematical biology legacy journals and on newer journals with different publication models and disciplinary scope. The team will use the CADRE datasets to develop methodologies for comparative bibliometrics and content analyses; provide insight into publication trends in theoretical and applied domains; give authors new factors to consider when trying to publish; and help editors in similar disciplines use informatics to distinguish their journals.
Researcher:
Samuel’s project uses reference and citation aging, bibliographic coupling, and network breadth and depth to find similarities and differences between research fields in mathematics and the sciences. Specifically, they will find how information ages differently across disciplines, generate data about changes in the development of these research fields, and study how actively collaborative the disciplines are. Samuel will use WoS data from 1900 to 2017 to perform these analyses, which have typically only been done on a smaller scale in a single discipline.
Research needs are varied and dynamic. While CADRE can ease the many technical and financial obstacles researchers face when working with large data resources, our platform also has the flexibility to fit more specific research needs. To better understand those needs, we collect User Stories.
Whether you are an academic researcher, librarian, or technical provider, CADRE’s ongoing call for User Stories allows you to tell us what you want from CADRE.
Maybe you are a researcher who requires the CADRE platform to apply multiple graph visualization tools, such as Gephi or VoS, to the same query result so you can explore your data more easily.
Or you might be a researcher with multiple affiliations, who wants to ensure the code you store in your repository will live in a cloud and not become lost if you change affiliations.
Perhaps you like that CADRE allows you to save space by running queries on the cloud server, but you also want the ability to download data locally to share findings with outside collaborators.
Then tell us—the CADRE team took each of the stories above into serious consideration when we began developing our platform.
User Stories give insight into the functionality requirements of different types of researchers, which will help us build a platform that better suits the needs of every researcher who uses CADRE. Any request ranging from specific interface design elements to a general computational environment will assist in our future development decisions.
How to submit stories
No user story is too trivial to share, and you can submit as many stories as you want.
Simply visit our User Story Collection page and tell us about who you are. Explain your project goals and what CADRE functionalities could help you achieve those goals.
If you are also interested in taking advantage of CADRE’s current resources and capabilities, consider applying to the CADRE Fellowship Program. The deadline for the first round of CADRE Fellows is June 25. Similar to User Stories, this fellowship will help CADRE better understand the needs of its researchers.
How will CADRE advance your research? Tell us your story today.
The Collaborative Archive & Data Research Environment (CADRE) is extending the deadline to apply for the CADRE Fellowship Program to June 25. Academic researchers and librarians from any institution are invited to apply.
If you are not familiar with CADRE, we are an IMLS-funded project that provides sustainable, affordable, and standardized data- and text-mining services for licensed big datasets, as well as open and non-consumptive datasets too large or unwieldy to work with in existing research library environments. CADRE offers academic researchers access to these data in a secure cloud-based platform.
The benefits of being a CADRE Fellow include:
Please note, your affiliated institution must license the Web of Science data for you to access it—you can contact cadre@iu.edu to check if you have access. Microsoft Academic Graph is available to everyone.
This fellowship program will help the CADRE team form expansive relationships with researchers, librarians, and data providers to gain critical feedback on developing the CADRE platform. As such, you do not need to have extensive programming experience to use CADRE. The platform will provide a user-friendly graphical user interface for data querying.
Applicants can form research teams consisting of graduate students, staff, and faculty from any U.S. or non-U.S. university—and teams can span any discipline and institution. You may also submit a research proposal without a team.
Sound interesting? Submit your CADRE Fellowship proposal here by June 25.
You can find more information about the CADRE Fellowship Program here. Fellows will be selected the first week of July.
Contact us at cadre@iu.edu with any questions and follow us at @CADRE_Project for the latest news.