scholarly journals Digital Archaeological Archiving in Sweden: the Swedish National Data Service perspective

2021 ◽  
Author(s):  
Ulf Jakobsson
Keyword(s):  
Original Data ◽  
Data Service ◽  
National Data ◽  
Archaeological Data ◽  
The Past ◽  
Funding Agencies ◽  
Mandatory Requirement ◽  
Data Files ◽  
Past Data ◽  
Service Perspective

In the past, data from archaeological investigations, as well as research projects led by universities have not been archived or made publicly accessible. Synthetic publications such as papers, reports and articles have been available, but not the underlying data files containing the original data to be reused or combined with new/other datasets for further research. Archaeological investigations are regulated within Sweden, but it has only recently been possible for that data to be preserved and disseminated in a more streamlined way. The mandatory requirement to archive research data at universities is often not enforced, resulting in a loss of data that is very problematic. This is now slowly changing owing to requirements from both governmental bodies and funding agencies, and therefore the future of archaeological data in Sweden looks a bit brighter.

scholarly journals Towards a dashboard environment for repeating and reusing research

2017 ◽  
Author(s):  
Ian Taylor ◽  
Jarek Nabrzyski
Keyword(s):  
Source Code ◽  
International Federation ◽  
Data Service ◽  
Proof Of Concept ◽  
Communication Research ◽  
National Data ◽  
Web Based ◽  
Data Archiving ◽  
The Past ◽  
High Level

Over the past 18 months, we have been working on a dashboard concept that enables researchers a means of interacting with existing research. This work was motivated by the National Data Service (NDS), which is an emerging vision of how scientists and researchers across all disciplines can find, reuse, and publish data. NDS intends to provide an international federation of data providers, data aggregators, community-specific federations, publishers, and cyberinfrastructure providers by linking data archiving and sharing efforts together with a common set of tools. This abstract provides a status of the two existing proof-of-concept pilot dashboard implementations and how we plan to evolve this work. At a high level, the researcher dashboard aims to provide an intuitive Web-based interface to expose fully interactive research containers that support the lifecycle of scholarly communication. Research containers enable executable and repeatable research by supporting methods, source code, and data within dynamically created Docker containers.

scholarly journals Towards a dashboard environment for repeating and reusing research

2017 ◽  
Author(s):  
Ian Taylor ◽  
Jarek Nabrzyski
Keyword(s):  
Source Code ◽  
International Federation ◽  
Data Service ◽  
Proof Of Concept ◽  
Communication Research ◽  
National Data ◽  
Web Based ◽  
Data Archiving ◽  
The Past ◽  
High Level

Over the past 18 months, we have been working on a dashboard concept that enables researchers a means of interacting with existing research. This work was motivated by the National Data Service (NDS), which is an emerging vision of how scientists and researchers across all disciplines can find, reuse, and publish data. NDS intends to provide an international federation of data providers, data aggregators, community-specific federations, publishers, and cyberinfrastructure providers by linking data archiving and sharing efforts together with a common set of tools. This abstract provides a status of the two existing proof-of-concept pilot dashboard implementations and how we plan to evolve this work. At a high level, the researcher dashboard aims to provide an intuitive Web-based interface to expose fully interactive research containers that support the lifecycle of scholarly communication. Research containers enable executable and repeatable research by supporting methods, source code, and data within dynamically created Docker containers.

Real or Imagined Confusion in Ethnohistorical Research? A Rejoinder to Thurman

1988 ◽  
Vol 8 (4) ◽  
pp. 317-326
Author(s):  
Charles E. Orser
Keyword(s):  
19Th Century ◽  
Missouri River ◽  
Early 19Th Century ◽  
Archaeological Data ◽  
The Past ◽  
Alternative Perspective ◽  
Narrow View

Recently, Melburn D. Thurman has argued that my handling of the James Mackay manuscript, an early 19th-century account of Plains native groups, is unsound. Many of Thurman's criticisms, specifically those concerning the date of the document, the details of Mackay's experience on the Missouri River, and the intent of my original article, stem from misrepresentation and misunderstanding. Thurman has refused, for example, to accept that my essay was a test of the document using archaeological data associated with the Arikara. In addition, Thurman portrays a narrow view of the past and a rather unique understanding of ethnohistorical methods. In this response to Thurman, I restate many of the points in my original article and provide an alternative perspective for studying the past.

Reply to Skousen and Aiuvalasit: On the Primacy of Archaeological Data

2020 ◽  
Vol 86 (1) ◽  
pp. 203-205
Author(s):  
A.J. White ◽  
Samuel E. Munoz ◽  
Sissel Schroeder ◽  
Lora R. Stevens
Keyword(s):  
Archaeological Evidence ◽  
Archaeological Data ◽  
The Past ◽  
Horseshoe Lake ◽  
Alternative Hypotheses

Skousen and Aiuvalasit critique our article on the post-Mississippian occupation of the Horseshoe Lake watershed (White et al. 2020) along two lines: (1) that our findings are not supported due to a lack of archaeological evidence, and (2) that we do not consider alternative hypotheses in explaining the lake's fecal stanol record. We first respond to the matter of fecal stanol deposition in Horseshoe Lake and then address the larger issue, the primacy of archaeological data in interpreting the past.

Beyond Deep Learning: An Econometric Example

2020 ◽  
Vol 28 (Supp01) ◽  
pp. 31-38 ◽  
Author(s):  
Ruofan Liao ◽  
Paravee Maneejuk ◽  
Songsak Sriboonchitta
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Prediction Models ◽  
Original Data ◽  
Parametric Model ◽  
Parametric Models ◽  
The Past ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Linear And Nonlinear

In the past, in many areas, the best prediction models were linear and nonlinear parametric models. In the last decade, in many application areas, deep learning has shown to lead to more accurate predictions than the parametric models. Deep learning-based predictions are reasonably accurate, but not perfect. How can we achieve better accuracy? To achieve this objective, we propose to combine neural networks with parametric model: namely, to train neural networks not on the original data, but on the differences between the actual data and the predictions of the parametric model. On the example of predicting currency exchange rate, we show that this idea indeed leads to more accurate predictions.

Disaster Management during Pandemic: A Big Data-Centric Approach

2021 ◽  
pp. 2140003
Author(s):  
Mohamed Elsotouhy ◽  
Geetika Jain ◽  
Archana Shrivastava
Keyword(s):  
Big Data ◽  
Disaster Management ◽  
Crisis Response ◽  
Unstructured Data ◽  
Management Theory ◽  
Management Approach ◽  
Text Analytics ◽  
The Past ◽  
Structured Information ◽  
Data Files

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study’s findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

The Past Is Prologue: Preserving and Disseminating Archaeological Data Online

2019 ◽  
pp. 185-207
Author(s):  
Edward Schortman ◽  
Ellen E. Bell ◽  
Jenna Nolt ◽  
Patricia Urban
Keyword(s):  
Archaeological Data ◽  
The Past

scholarly journals Palaeo-sea-level and palaeo-ice-sheet databases: problems, strategies, and perspectives

2016 ◽  
Vol 12 (4) ◽  
pp. 911-921 ◽  
Author(s):  
André Düsterhus ◽  
Alessio Rovere ◽  
Anders E. Carlson ◽  
Benjamin P. Horton ◽  
Volker Klemann ◽  
...  
Keyword(s):  
Sea Level ◽  
Research Question ◽  
Ice Sheet ◽  
Original Data ◽  
Sea Levels ◽  
The Earth ◽  
Geological Features ◽  
Funding Agencies ◽  
The Creation ◽  
Objective Description

Abstract. Sea-level and ice-sheet databases have driven numerous advances in understanding the Earth system. We describe the challenges and offer best strategies that can be adopted to build self-consistent and standardised databases of geological and geochemical information used to archive palaeo-sea-levels and palaeo-ice-sheets. There are three phases in the development of a database: (i) measurement, (ii) interpretation, and (iii) database creation. Measurement should include the objective description of the position and age of a sample, description of associated geological features, and quantification of uncertainties. Interpretation of the sample may have a subjective component, but it should always include uncertainties and alternative or contrasting interpretations, with any exclusion of existing interpretations requiring a full justification. During the creation of a database, an approach based on accessibility, transparency, trust, availability, continuity, completeness, and communication of content (ATTAC3) must be adopted. It is essential to consider the community that creates and benefits from a database. We conclude that funding agencies should not only consider the creation of original data in specific research-question-oriented projects, but also include the possibility of using part of the funding for IT-related and database creation tasks, which are essential to guarantee accessibility and maintenance of the collected data.

scholarly journals Transfer of Knowhow and Experiences from Commercial Logistics into Humanitarian Logistics to Improve Rescue Missions in Disaster Areas

2018 ◽  
Vol 8 (3) ◽  
pp. 63
Author(s):  
Firas Rifai
Keyword(s):  
Information Technologies ◽  
Humanitarian Logistics ◽  
Management Information ◽  
Rescue Mission ◽  
Know How ◽  
The Past ◽  
Humanitarian Organizations ◽  
Past Data ◽  
Near Future ◽  
Insight Into

Reports on the news about nature or man-made catastrophes are not uncommon. We hear constantly that a human catastrophe has taken place somewhere in the world. In those cases where the infrastructure could possibly be destroyed, it becomes clear that a rescue mission is difficult to achieve. We need special rescue teams, who despite the difficult rescue mission, save lives and reduce suffering.The special organizations involved in catastrophes are called humanitarian organizations. In addition, the specific skills and abilities that these organizations have should be mainly in logistics.In this paper, the author goes into more details about humanitarian logistics and shows its importance in disaster areas. Unfortunately, these humanitarian organizations have many weaknesses and challenges. As a result, these organizations are not well developed, despite their importance. In contrast, the commercial logistics companies, which are well developed, have much strength in management, information technologies, etc.This research defines humanitarian logistics and describes its weaknesses and limitations. Furthermore, it deals with the specifics of humanitarian organizations. The special features of these organizations are their rescue missions, especially in destroyed infrastructure areas. This research demonstrates the various similarities between commercial and humanitarian logistics and points to the potential of knowledge and experience transfer from commercial logistics to humanitarian logistics.This research compares humanitarian logistics with commercial logistics. In doing so, the author tries to gain a deeper insight into the potential of transferring know-how and experience from retail logistics to humanitarian logistics in order to strengthen humanitarian logistics.The research of logistics is a very dynamic world in which humanitarian logistics is becoming increasingly important both in research and in practice. In particular, the demands on logistics in general and on humanitarian logistics, in particular, will increase significantly in the near future because it is estimated that the number and impact of both natural and human disasters is increasing (Kumar et al., 2012).Murphy (2015) analyzed the past data of catastrophes and derived a forecast for the future frequency of disasters and their impact: “Because of the increasing frequency (and severity) of disasters over the past 50 years, humanitarian logistics is likely to be an important topic into the foreseeable future”.

scholarly journals Cultural Transform di Situs Benteng Putri Hijau

2018 ◽  
Vol 14 (27) ◽  
pp. 165-178
Author(s):  
Stanov Purnawibowo
Keyword(s):  
Cultural Transformation ◽  
Transformation Process ◽  
Archaeological Record ◽  
Archaeological Data ◽  
The Past

AbstractArchaeology not only describing about the past, but also present. The form of cultural transformation process which describe the process of archaeological record disposition in the post-depositoanal factors, one of example form describe from present. Cultural transformation of archaeological record was found in Benteng Putri Hijau site. Precipitation position of archaeological data and stratigraphy can give information about cultural transformation data and contexts remain found in archaeological deposition.

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