Navigating The Landscape Of Fair Data Sharing And Reuse Repositories Standards And Resources

Navigating the Landscape of FAIR Data Sharing and Reuse: Repositories, Standards, and Resources

The huge volume of neuroscience data and the wide variety of data formats generated across different neuroscience communities has posed a challenge to traditional methods of data management, data sharing and data mining. Mandates on data sharing and the demand for using open data has driven the development of advanced methodologies and tools to effectively explore, mine and integrate data. However, the growing number of resources make it harder for researchers to navigate this landscape. Awareness of these tools and resources is vital for effective data mining and unlocking new discoveries. The goal of this research collection is to provide an overview of available resources, centred around making data findable, accessible, interoperable and reusable (FAIR).

Academia and the World Beyond

A common question posed to PhD students from friends and family is, “What will you do after?” But many students are too focused on the PhD itself and have not yet had a chance to sufficiently think about post-PhD life. This book is a collection of 22 interviews with those have completed a PhD and then are now in an academic position or another career path. In either case, they have all been successful and have a multitude of insights to share with those who are interested in considering a variety of careers. Academic careers share many commonalities with many non-academic careers, with skills learned within academia being valuable in other career paths as well. Nearly all the individuals interviewed here have been on the job market recently and understand today's job climate. No other book on the market includes the diversity of perspectives presented here. In particular, the focus on psychology and neuroscience draws from a variety of individuals that have similar training but have nonetheless taken divergent paths.

Data Sharing and Secondary Use of Scientific Data