Impact of Social Sciences – Increasingly collaborative researcher behaviour is the real threat to the resilient academic publishing sector

“Traditional academic publishing has been rumoured to be imperilled for decades now. Despite continued criticism over pricing and a growing open access movement, a number of recent reports point to the sector’s resilience. Francis Dodds suggests this is partly attributable to the adaptability of academic publishers but also highlights attitudes of researchers surprisingly committed to the status quo as another key factor. However, other aspects of researcher behaviour may prove more disruptive in the long term, with greater collaboration leading to the growing informal use and exchange of free material between researchers….”

The FAIR Guiding Principles for scientific data management and stewardship : Scientific Data

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.

Statement on Digital Data Management | U.S. DOE Office of Science (SC)

“The Office of Science mission is to deliver the scientific discoveries and major scientific tools that transform our understanding of nature and advance the energy, economic, and national security of the United States. The Office of Science Statement on Digital Data Management has been developed with input from a variety of stakeholders in this mission1.

Here, data management involves all stages of the digital data life cycle including capture, analysis, sharing, and preservation. The focus of this statement is sharing and preservation of digital research data …”