scholarly journals Curating Scientific Research Data for the Long Term: A Preservation Analysis Method in Context

2011 ◽  
Vol 6 (2) ◽  
pp. 38-52 ◽  
Author(s):  
Esther Conway ◽  
David Giaretta ◽  
Simon Lambert ◽  
Brian Matthews

The challenge of digital preservation of scientific data lies in the need to preserve not only the dataset itself but also the ability it has to deliver knowledge to a future user community. A true scientific research asset allows future users to reanalyze the data within new contexts. Thus, in order to carry out meaningful preservation we need to ensure that future users are equipped with the necessary information to re-use the data. This paper presents an overview of a preservation analysis methodology which was developed in response to that need on the CASPAR and Digital Curation Centre SCARP projects. We intend to place it in relation to other digital preservation practices, discussing how they can interact to provide archives caring for scientific data sets with the full arsenal of tools and techniques necessary to rise to this challenge.

Somatechnics ◽  
2012 ◽  
Vol 2 (2) ◽  
pp. 284-304
Author(s):  
Patricia Adams

Contemporary scientific discoveries are rapidly modifying established concepts of embodiment and corporeality. For example, developing techniques in adult stem cell research can actively remodel the human body; whilst neuroscientists are shedding increasing light on the functioning of our brains. My research at the art/science nexus draws upon recent media theories to investigate the ways twenty-first century constructs of ‘humanness’ and the ‘self’ are affected by both historical and contemporary scientific research and developments in digital imaging technologies. In this article, examples from my artworks: “machina carnis” and “HOST” illustrate how my use of innovative digital technologies and collaborative methodologies has enabled me to immerse myself in the scientific experience at first hand. I demonstrate how my reinterpretations of what is commonly termed ‘hard’ scientific research data does not seek to emulate ‘objective’ readings of the experimental digital image data but rather recontextualises it in the context of my artworks. These artworks acknowledge the personal and visceral content in the scientific data and enable viewer/participants to reflect upon the issues raised from an emotive and individual perspective.


2012 ◽  
Vol 7 (2) ◽  
pp. 64-67 ◽  
Author(s):  
Neil Beagrie ◽  
Monica Duke ◽  
Catherine Hardman ◽  
Dipak Kalra ◽  
Brian Lavoie ◽  
...  

This paper provides an overview of the KRDS Benefit Analysis Toolkit. The Toolkit has been developed to assist curation activities by assessing the benefits associated with the long-term preservation of research data. It builds on the outputs of the Keeping Research Data Safe (KRDS) research projects and consists of two tools: the KRDS Benefits Framework, and the Value-chain and Benefits Impact tool. Each tool consists of a more detailed guide and worksheet(s). Both tools have drawn on partner case studies and previous work on benefits and impact for digital curation and preservation. This experience has provided a series of common examples of generic benefits that are employed in both tools for users to modify or add to as required.


2022 ◽  
pp. 352-368
Author(s):  
Cahyo Trianggoro ◽  
Abdurrakhman Prasetyadi

In recent decades, libraries, archives, and museums have created digital collections that comprise millions of objects to provide long-term access to them. One of the core preservation activities deals with the evaluation of appropriate formats used for encoding digital content. The development of science has entered the 4th paradigm, where data has become much more intensive than in the previous period. This situation raises new challenges in managing research data, especially related to data preservation in digital format, which allows research data to be utilized for the long term. The development of science in the 4th paradigm allows researchers to collaborate with and reuse research datasets produced by a research group. To take advantage of each other's data, there is a principle that must be understood together, namely the FAIR principle, an acronym for findable, accessible, interoperable, and reusable.


2022 ◽  
Vol 29 (1) ◽  
pp. 91-101
Author(s):  
Gustavo Caetano Borges ◽  
Julio Cesar Dos Reis ◽  
Claudia Bauzer Medeiros

Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in the agriculture domain.


2020 ◽  
Vol 2 (1) ◽  
pp. 35-44
Author(s):  
Susianty Selaras Ndari ◽  
Rita Pranawaty

ABSTRACTParents have a major  role in parenting, so parents need to have knowledge in performing their role of parenting through parenting. Based on preliminary research data found the low parental involvement in the parenting program in Bambus Apus branch of Pamulang District, South Tangerang. This study aims to determine the perception of parents on the importance of parenting program on the Leaders of Twigs' Aisyiyah Bambu Apus Pamulang District Municipality of South Tangerang. While the long-term goal of this study is to increase parental involvement in the parenting program in 'Aisyiyah Bambeng Apus Sub District Pamulang Tangerang Selatan. The research was conducted by using descriptive analysis method that aims to describe the nature or characteristics of a particular phenomenon by purposive sampling approach, that is sampling based on certain targets, with the population are all members of Aisyiyah members of Bambeng Apus sub-district of Pamulang who send their children in kindergarten / PAUD 'Aisyiyah Kotamadaya Tangerang Selatan. Methods of data collection were conducted using questionnaires, documentation, structured interviews and literature study. The result of this research shows that the perception of importance of parenting activity on the leadership of Aisyiyah Tangerang Selatan is very important 24%, important 28%, quite important 48%, not important 0% and very unimportant 0%. Orangtua memiliki peran utama dalam pengasuhan anak, oleh karena itu orangtua perlu memiliki ilmu pengetahuan dalam melaksanakan perannya mengasuh anak melalaui parenting. Berdasarkan data penelitian awal ditemukan masih rendahnya keterlibatan orangtua dalam program parenting di Ranting Bambu Apus Kecamatan Pamulang Tangerang Selatan. Penelitian ini bertujuan untuk mengetahui persepsi orangtua terhadap pentingnya program parenting pada Pimpinan Ranting ‘Aisyiyah Bambu Apus Kecamatan Pamulang Kotamadya Tangerang Selatan. Sedangkan tujuan jangka panjang penelitian ini adalah untuk meningkatkan keterlibatan orangtua dalam program parenting di ‘Aisyiyah Ranting Bambu Apus Kecamatan Pamulang Tangerang Selatan. Penelitian dilakukan dengan menggunakan metode analisis deskriptif yang bertujuan untuk menguraikan sifat atau karakteristik dari suatu fenomena tertentu dengan pendekatan purposive sampling, yaitu pengambilan sampel berdasarkan target tertentu, dengan populasi adalah seluruh ibu-ibu anggota ‘ Aisyiyah Ranting Bambu Apus Kecamatan Pamulang yang menyekolahkan anaknya di TK/PAUD ‘Aisyiyah Kotamadaya Tangerang Selatan. Metode pengumpulan data dilakukan menggunakan kuisioner, dokumentasi, wawancara terstruktur serta studi pustaka. Hasil penelitian menunjukan bahwa berdasarkan hasil penelitian diperoleh data bahwa persepsi pentingnya kegiatan parenting pada pimpinan ‘Aisyiyah Tangerang Selatan sangat penting sebesar 24%, penting 28%, cukup penting 48%,tidak penting 0% dan sangat tidak penting 0%.


2021 ◽  
Author(s):  
Gustavo Caetano Borges ◽  
Julio César dos Reis ◽  
Claudia Bauzer Medeiros

Scientific research in all fields has advanced in complexity and in the amount of data generated. The heterogeneity of data repositories, data meaning and their metadata standards makes this problem even more significant. In spite of several proposals to find and retrieve research data from public repositories, there is still need for more comprehensive retrieval solutions. In this article, we specify and develop a mechanism to search for scientific data that takes advantage of metadata records and semantic methods. We present the conception of our architecture and how we have implemented it in a use case in agriculture.


2021 ◽  
Vol 16 (1) ◽  
pp. 16
Author(s):  
Amy Currie ◽  
William Kilbride

Digital preservation is a fast-moving and growing community of practice of ubiquitous relevance, but in which capability is unevenly distributed. Within the open science and research data communities, digital preservation has a close alignment to the FAIR principles and is delivered through a complex specialist infrastructure comprising technology, staff and policy. However, capacity erodes quickly, establishing a need for ongoing examination and review to ensure that skills, technology, and policy remain fit for changing purpose. To address this challenge, the Digital Preservation Coalition (DPC) conducted the FAIR Forever study, commissioned by the European Open Science Cloud (EOSC) Sustainability Working Group and funded by the EOSC Secretariat Project in 2020, to assess the current strengths, weaknesses, opportunities and threats to the preservation of research data across EOSC, and the feasibility of establishing shared approaches, workflows and services that would benefit EOSC stakeholders. This paper draws from the FAIR Forever study to document and explore its key findings on the identified strengths, weaknesses, opportunities, and threats to the preservation of FAIR data in EOSC, and to the preservation of research data more broadly. It begins with background of the study and an overview of the methodology employed, which involved a desk-based assessment of the emerging EOSC vision, interviews with representatives of EOSC stakeholders, and focus groups with digital preservation specialists and data managers in research organizations. It summarizes key findings on the need for clarity on digital preservation in the EOSC vision and for elucidation of roles, responsibilities, and accountabilities to mitigate risks of data loss, reputation, and sustainability. It then outlines the recommendations provided in the final report presented to the EOSC Sustainability Working Group. To better ensure that research data can be FAIRer for longer, the recommendations of the study are presented with discussion on how they can be extended and applied to various research data stakeholders in and outside of EOSC, and suggest ways to bring together research data curation, management, and preservation communities to better ensure FAIRness now and in the long term.


F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 101 ◽  
Author(s):  
Konrad Hinsen

Computational techniques have revolutionized many aspects of scientific research over the last few decades. Experimentalists use computation for data analysis, processing ever bigger data sets. Theoreticians compute predictions from ever more complex models. However, traditional articles do not permit the publication of big data sets or complex models. As a consequence, these crucial pieces of information no longer enter the scientific record. Moreover, they have become prisoners of scientific software: many models exist only as software implementations, and the data are often stored in proprietary formats defined by the software. In this article, I argue that this emphasis on software tools over models and data is detrimental to science in the long term, and I propose a means by which this can be reversed.


2015 ◽  
Vol 10 (2) ◽  
pp. 58-68
Author(s):  
San Cannon

In the current digital age, data are everywhere and are continually being created, collected and otherwise captured by a range of users for a variety of applications. Curating digital content is a growing concern both for business users and academic researchers. Selecting, collecting, preserving and archiving digital assets, especially research data sets, are important steps in the research life cycle and can help expand the boundaries of research by allowing data to be reused. Creating research data sets often starts with selecting input data sources; in this age of new or “big” data, that choice set keeps expanding, thereby making it more difficult and time consuming to discover and understand the vast data landscape when beginning an empirical research project. This paper proposes an approach to make finding and learning about data easier and less time-consuming for researchers. While cognizant of the role of digital curation for research data sets, we focus on the traditional “museum” definition of curation to outline how data-oriented content curation can support research. The process of selecting, evaluating and presenting information about potential data inputs can help researchers more easily understand how certain data sets are used and better determine which data sources might be fit for their purposes. Although the paper draws on examples from economics citing U.S. data, the techniques could be used across disciplines and countries.


2021 ◽  
Vol 13 (1) ◽  
pp. 201-223
Author(s):  
Willis Jenkins

Abstract This article develops an account of listening as a model for integrating inquiries into rapid environmental change from arts, sciences, and humanities. The account is structured around interpretation of the Coastal Futures Conservatory (CFC), an initiative for integrating arts and humanities into the Long-Term Ecological Research Project at the Virginia Coast Reserve. The CFC organizes collaborative inquiry and public engagement around several kinds of listening, from field recordings and designed listening stations as practices of attentiveness to scientific data by sonifying data sets, across disciplines by commissioning convergent lines of research from humanities and sciences, and across political boundaries by creating cross-coastal exchanges. Working from reflection on CFC practices, the author evaluates the potential and the limits of a pivot from ocular to aural metaphors of creating environmental knowledge as well as the potential and limits of listening as a model for integrating that knowledge. The author then questions integration as metaphor for multidisciplinary collaboration by testing its openness to listening beyond human worlds. The article closes by arguing for the role of contemplative practices in developing “transformative listening” as a way to connect environmental sciences with processes of moral and political formation.


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