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Purpose Taking the researchers’ perspective, the purpose of this paper is to examine the types of context information needed to preserve data’s meaning in ways that support data reuse. Design/methodology/approach This paper is based on a qualitative study of 105 researchers from three disciplinary communities: quantitative social science, archaeology and zoology. The study focused on researchers’ most recent data reuse experience, particularly what they needed when deciding whether to reuse data. Findings Findings show that researchers mentioned 12 types of context information across three broad categories: data production information (data collection, specimen and artifact, data producer, data analysis, missing data, and research objectives); repository information (provenance, reputation and history, curation and digitization); and data reuse information (prior reuse, advice on reuse and terms of use). Originality/value This paper extends digital curation conversations to include the preservation of context as well as content to facilitate data reuse. When compared to prior research, findings show that there is some generalizability with respect to the types of context needed across different disciplines and data sharing and reuse environments. It also introduces several new context types. Relying on the perspective of researchers offers a more nuanced view that shows the importance of the different context types for each discipline and the ways disciplinary members thought about them. Both data producers and curators can benefit from knowing what to capture and manage during data collection and deposit into a repository.

As a tutorial, we examine the absolute brightness and number statistics of photon pairs generated in Spontaneous Parametric Down-Conversion (SPDC) from first principles. In doing so, we demonstrate how the diverse implementations of SPDC can be understood through a single common framework, and use this to derive straightforward formulas for the biphoton generation rate (pairs per second) in a variety of different circumstances. In particular, we consider the common cases of both collimated and focused gaussian pump beams in a bulk nonlinear crystal, as well as in nonlinear waveguides and microring resonators. Furthermore, we examine the number statistics of down-converted light using a non-perturbative approximation (the multi-mode squeezed vacuum), to provide quantitative formulas for the relative likelihood of multi-pair production events, and explore how the quantum state of the pump affects the subsequent statistics of the downconverted light. Following this, we consider the limits of the undepleted pump approximation, and conclude by performing experiments to test the effectiveness of our theoretical predictions for the biphoton generation rate in a variety of different sources.

The availability of research data through digital repositories has made data reuse a possibility in a growing number of fields. This paper reports on the results of interviews with 27 zoologists, 43 quantitative social scientists and 22 archaeologists. It examines how data reuse contributes to the apprenticeship process and aids students in becoming full members of scholarly disciplines. Specifically, it investigates how data reuse contributes to the processes by which novice researchers join academic communities of practice. We demonstrate how projects involving data reuse provide a unique opportunity for advisors to mentor novices through the process of creating knowledge. In these situations, senior researchers model general reuse practices and impart skills for their students to use in the future when selecting, evaluating, and analyzing data they did not collect. For novices, data reuse constitutes a form of legitimate peripheral participation, a way for them to enter the community of practice by analyzing data that has been previously collected and reflecting on others' methodologies. Our study findings indicate that reuse occurs across each target community studied. They also suggest how repositories can help foster a reuse culture by providing access to data and building trust in research communities.

Archaeology and zoology are fields in which data collection and analysis involve destruction. In this study we examine the results of 49 interviews with archaeologists and zoologists, focusing on researchers' discussions of internal or disciplinary norms and external factors affecting their attitudes and actions concerning preservation. We identified two categories of disciplinary practices: data collection and data management/recordkeeping as key to shaping attitudes and activities about preservation. Likewise, we found three external factors: funding, legal requirements, and the status of museums and repositories, influencing attitudes toward preservation. We found while archaeologists and zoologists are uniquely positioned to appreciate the value of data preservation, because data collection in both disciplines involves destruction, they are skeptical about whether preservation is possible, and that these attitudes are influenced by both internal and external factors.