“The Dataverse Development Project Manager (DDPM) at the Institute for Quantitative Social Science (IQSS) will handle the day-to-day management responsibilities for the development of Dataverse, an open source software framework that enables the hosting of research data repositories (dataverse.org). Reporting directly to the IQSS Director of Engineering (DOE) with a dotted-line relationship to the Chief Data Science and Technology Officer (CDSTO), the DDPM will work closely with the DOE and CDSTO to allocate staff resources and plan product releases that include the deliverables for the highest priority projects and bug fixes. The DDPM will manage staff on defining the technical details and low-level schedule estimates for new projects and managing their progress and completion from functional specification through release. The DDPM will also deploy staff to prioritize and address user support requests that require software development or direct access to production support. The DDPM will guide staff on providing production support to the Harvard University Information Technology (HUIT) staff for hosting, upgrading, and troubleshooting the Harvard Dataverse, a data repository installation built on the Dataverse platform. The DDPM will interact directly with Dataverse community members to communicate release updates and enable active participation outside Harvard. The DDPM will provide people management for Dataverse software development team members, including the QA lead and UI developer….”
There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
“The Digital Public Library of America has an opening for the position of DPLA Network Manager.
The Digital Public Library of America is growing our Hubs Network. DPLA Hubs include Content and Service Hubs, and represent almost 2,000 cultural heritage institutions throughout the country. Over the next several years, we have the goal for cultural heritage institutions in every state to have an on-ramp to DPLA. This position will play a critical role in helping to grow, document and coordinate activities for the Hubs Network….”
Article by Tarvo Karberg, University of Tartu and National Archives of Estonia and Koit Saarevet, National Archives of Estonia
Article by Yuan Li, Princeton University, USA
Article by Katrien Verbert, KU Leuven, Belgium; Nancy J. Hoebelheinrich, Knowledge Motifs, USA; Kerry Blinco, Northern Territory Library, Australia; Scott Lewis, Austin, Texas, USA; and Wilbert Kraan, University of Bolton, UK
Article by Tobin M. Cataldo, Birmingham Public Library, Birmingham, Alabama, USA
Article by Thomas Padilla, Michigan State University
Editorial by Laurence Lannom, CNRI
“Last year (April 2015) the Harvard Library Office for Scholarly Communication issued a request for proposals to write “a comprehensive literature review on methods for converting subscription-based scholarly journals to open access.” In June 2015 we awarded the contract to David Solomon, Bo-Christer Björk, and Mikael Laakso. We’re happy to announce today that the preliminary version of their report is now open for public comments.”
This is the preliminary version of “Converting Scholarly Journals to Open Access: A Review of Approaches and Experiences”, open for public comments.