“Through theCaselaw Access Project, Harvard Law School has made millions of legal decisions more accessible to researchers than ever before. On campus last week, the inauguralCaselaw Research Summit,hosted by the Harvard Library Innovation Lab, brought to light the diversity of research that the project is making possible.
The Caselaw Access Project (CAP) was the result of five years of work by the Harvard Library Innovation Lab at Harvard Law School. Between 2013-18, the HLS Library digitized more than 40 million pages of data covering 6.5 million individual cases; the most comprehensive database of American law available anywhere outside the Library of Congress. But unlike the latter it gives nationwide researchers free, immediate access to judicial decisions from each of the 50 states, dating back to their founding. Tweaks are still being made to CAP, notably a new Historical Trends app that can trace the number of a times a word was used in legal cases over the years, with a timeline pointing to the relevant cases.
The day-long summit at Milstein West brought together research teams from as far away as Oxford, England, who gave a variety of presentations on their use of the dataset, enhancing research that was already underway, with faster, more comprehensive access to data. Presenters explored the contents of court opinions and the evolution of language, and examined themes like link rot and connecting legal data with other digital collections….”
“TheHarvard Data Science Initiative(HDSI) and theMIT Pressare pleased to announce today the launch of theHarvard Data Science Review(HDSR). The multimedia platform will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand for data scientists booming,HDSR will provide a centralized, authoritative, and peer-reviewed publishing community to service the growing profession.
The first issue features articles on topics ranging from authorship attribution of Lennon-McCartney songs to machine learning models for predicting drug approvals to artificial intelligence (AI). Future content will have a similar range of general interest, academic, and professional content intended to foster dialogue among researchers, educators, and practitioners about data science research, practice, literacy, and workforce development. HDSR will prioritize quality over quantity, with a primary emphasis on substance and readability, attracting readers via inspiring, informative, and intriguing papers, essays, stories, interviews, debates, guest columns, and data science news. By doing so, HDSR intends to help define and shape the profession as a scientifically rigorous and globally impactful multidisciplinary field.
Combining features of a premier research journal, a leading educational publication, and a popular magazine, HDSR will leverage digital technologies and advances to facilitate author-reader interactions globally and learning across various media….”
“Today, the Harvard Data Science Initiative announced the launch of the first issue of the HARVARD DATA SCIENCE REVIEW, the inaugural publication of the HDSI published by MIT Press. Combining features of a premier research journal, a leading educational publication, and a popular magazine, HDSR leverages digital technologies and data visualizations to facilitate author-reader interactions globally. The first issue of the freely available digital edition features articles on topics ranging from authorship attribution of Lennon-McCartney songs to machine learning models for predicting drug approvals to artificial intelligence….”
“The Digital Futures Consortium at Harvard(DFC), an active collaboration across the University since 2013, is disbanding at the end of this spring term. Initiated for the purpose of creating a network of technologists, faculty, researchers, and librarians engaged in the ongoing transformation of scholarship through innovative technology, the work the DFC has been providing on an informal basis has now become part of more formal initiatives on campus. Its workshops, like Visual Eloquence, and some of its informal hands-on basic training around digital tools — along with many of its current members — are now elements of the broader Digital Scholarship Support Group (DSSG)….”
“Lab notebooks are good for writing down procedures, observations, conclusions and for drawing flow charts and diagrams by hand. However, in order to accommodate the increase of digital data collected, researchers have taped instrumentation and computer printouts onto the pages of their notebooks, or cross-referenced larger data sets by recording file names and locations in the notebook.
An ELN (electronic lab notebook) is a software tool that in its most basic form replicates an interface much like a page in a paper lab notebook. In this electronic notebook you can enter protocols, observations, notes, and other data using your computer or mobile device. This offers several advantages over the traditional paper notebook.
The number of available ELN tools is increasing and the functions of each are quickly changing. As a result, it may be confusing to evaluate all of the advantages and limitations of each when looking for the right solution for your project.
The Electronic Lab Notebook Matrix has been created to aid HMS researchers in the process of identifying a usable Electronic Lab Notebook solutions to meet their specific research needs. Through this resource, researchers can compare and contrast the numerous solutions available today, and also explore individual options in-depth….”