Beyond the Archive

2018 ◽  
Vol 6 (2) ◽  
pp. 105-116 ◽  
Author(s):  
Ixchel M. Faniel ◽  
Anne Austin ◽  
Eric Kansa ◽  
Sarah Whitcher Kansa ◽  
Phoebe France ◽  
...  
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Management Practices ◽  
Data Interpretation ◽  
Research Community ◽  
Data Reuse ◽  
Field Observations ◽  
Digital Repository ◽  
Mixed Methods Approach ◽  
Archaeological Data

ABSTRACTThis article presents research on archaeological data creation and management practices at two excavations in Europe in order to gain a better understanding of how to align these practices with the data reuse needs of a broader research community. The Secret Life of Data project follows the life cycle of data from the field to the digital repository to better understand opportunities and challenges in data interpretation, publication, and preservation. Our “Slow Data” approach focuses not on maximizing the speed and quantity of data but, rather, on emphasizing curation, contextualization, communication, and broader understanding. Through a mixed-methods approach of interviews, field observations, and excavation data assessments, we recommended changes (both technical and organizational) to improve data creation and management practices. We report our findings and offer readers guidance on streamlining data collection for reuse during excavation.

Data Integration in the Service of Synthetic Research

2017 ◽  
Vol 6 (1) ◽  
pp. 30-41 ◽  
Author(s):  
Keith W. Kintigh ◽  
Katherine A. Spielmann ◽  
Adam Brin ◽  
K. Selçuk Candan ◽  
Tiffany C. Clark ◽  
...  
Keyword(s):  
Data Integration ◽  
General Procedure ◽  
Original Data ◽  
Research Community ◽  
Late Prehistoric ◽  
Archaeological Record ◽  
Digital Repository ◽  
Specific Content ◽  
Integration Procedure ◽  
Archaeological Data

ABSTRACTAddressing archaeology's most compelling substantive challenges requires synthetic research that exploits the large and rapidly expanding corpus of systematically collected archaeological data. That, in turn, requires a means of combining datasets that employ different systematics in their recording while at the same time preserving the semantics of the data. To that end, we have developed a general procedure that we call query-driven, on-the-fly data integration that is deployed within the Digital Archaeological Record digital repository. The integration procedure employs ontologies that are mapped to the original datasets. Integration of the ontology-based dataset representations is done at the time the query is executed, based on the specific content of the query. In this way, the original data are preserved, and data are aggregated only to the extent necessary to obtain semantic comparability. Our presentation draws examples from the largest application to date: an effort by a research community of Southwest US faunal analysts. Using 24 ontologies developed to cover a broad range of observed faunal variables, we integrate faunal data from 33 sites across the late prehistoric northern Southwest, including about 300,000 individually recorded faunal specimens.

scholarly journals PERUBAHAN PENGGUNAAN LAHAN DI KECAMATAN KELARA DAN RUMBIA KABUPATEN JENEPONTO

2019 ◽  
Vol 8 (1) ◽  
pp. 27
Author(s):  
Firman Sutomo
Keyword(s):  
Land Use ◽  
Quantitative Analysis ◽  
Data Collection ◽  
Spatial Patterns ◽  
Secondary Data ◽  
Data Interpretation ◽  
Primary Data ◽  
Field Observations ◽  
Negative Effects ◽  
Data Collection And Analysis

Land use that is incompatible with the function of land can lead to negative effects, therefore it is necessary to set the direction of land use change in land use. This study aims to determine the dynamics of land use during the period of 15 years (1999-2013) and determine the fit between the spatial patterns of spatial plans with the actual land use in Rumbia and Kelara, Jeneponto. The study was conducted through data collection and analysis of data, the data used include primary data and secondary data obtained through observation, field observations, and other supporting data. Data already collected subsequently analyzed by using descriptive and quantitative analysis by means of data interpretation and overlay maps with GIS systems. The results of the study show that obtained six classes of land use consisting of forests, gardens, settlements, rice fields, shrubs and moorings / fields indicate that land use has decreased by 2.66% in 1999, 2004 by 1, 44%, and in 2013 decreased to 1.09% and those that experienced an increase in area were fields / fields of 50.44% in 1999, in 2004 it increased to 62.10%, and in 2013 the area increased to 69.52%.

scholarly journals Remediation Data Management Plans

2019 ◽  
Vol 13 (1) ◽  
pp. 352-361
Author(s):  
Clara Llebot
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Data Management ◽  
Management Practices ◽  
Research Projects ◽  
Planning Stage ◽  
Good Data ◽  
Management Plans ◽  
Grant Proposals

 Data   Management   Plans   (DMPs)   have   been   used   in   the   last   decade   to   encourage   good data   management   practices   among   researchers.   DMPs   are   widely   used,   preventive   tools that   encourage   good   data   management   practices.   DMPs   are   traditionally   used   to   manage data   during   the   planning   stage   of   the   project,   often   required   for   grant   proposals,   and   prior to   data   collection.   In   this   paper   we   will   use   a   case   study   to   argue   that   Data   Management  Plans   can   be   useful   in   improving   the   management   of   the   data   of   research   projects   that  have   moved   beyond   the   planning   stage   of   the   research   life   cycle.   In   particular,   we   focus  on   the   case   of   active   projects   where   data   has   already   been   collected   and   is   still   being  analyzed.   We   discuss   the   differences   and   commonalities   in   structure   between   preventive Data   Management   Plans   and   remedial   Data   Management   Plans,   and   describe   in   detail   the additional   considerations   that   are   needed   when   writing   remedial   Data   Management   Plans: the   goals   and   audience   of   the   document,   the   data   inventory,   and   an   implementation   plan. 

Life Cycle Development of Successful Women-owned Enterprises

2020 ◽  
Vol 3 (4) ◽  
pp. 142-152
Author(s):  
Mohammad Waliul Hasanat ◽  
Kamna Anum ◽  
Ashikul Hoque ◽  
Mahmud Hamid ◽  
Sandy Francis Peris ◽  
...  
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Research Work ◽  
Primary Data ◽  
Small Scale ◽  
Data Collection Process ◽  
Theoretical Finding ◽  
Successful Women ◽  
Two Phases ◽  
Life Cycle Development

In developing countries, the role of women in the business sector is continuously improving. As a result, female enterprises have also been encouraged in Pakistan. This study is based on life cycle development phases from which women-owned enterprises have to go through in order to become successful. As a primary data source, face-to-face interviews with owners of successful women-owned enterprises were preferred. The data collection process was divided into two phases i.e. Phase-I and Phase-II. After data collection, qualitative analysis has been performed using NVIVO. Findings provide both generic and specific factors involved in life cycle development of women-owned enterprises. This study provides a detailed view of life cycle development model followed by successful women enterprises. The outcome of this research work is a theoretical finding which can be utilized by entrepreneurs owning small scale enterprises to improve their level of performance. Findings can also be helpful for potentially talented women interested in setting up their own business.

A Survey of Glyphosate-Resistant Waterhemp (Amaranthus rudis) in Missouri Soybean Fields and Prediction of Glyphosate Resistance in Future Waterhemp Populations Based on In-Field Observations and Management Practices

2013 ◽  
Vol 27 (4) ◽  
pp. 656-663 ◽  
Author(s):  
Kristin K. Rosenbaum ◽  
Kevin W. Bradley
Keyword(s):  
Crop Production ◽  
Management Practices ◽  
Production Systems ◽  
Glyphosate Resistance ◽  
Continuous Cropping ◽  
Field Observations ◽  
Weed Species ◽  
Herbicide Treatment ◽  
Amaranthus Rudis

A survey of soybean fields containing waterhemp infestations was conducted just prior to harvest in 2008 and 2009 to determine the frequency and distribution of glyphosate-resistant waterhemp in Missouri, and to determine if there are any in-field parameters that may serve as indicators of glyphosate resistance in this species in future crop production systems. Glyphosate resistance was confirmed in 99 out of 144, or 69%, of the total waterhemp populations sampled, which occurred in 41 counties of Missouri. Populations of glyphosate-resistant waterhemp were more likely to occur in fields with no other weed species present at the end of the season, continuous cropping of soybean, exclusive use of glyphosate for several consecutive seasons, and waterhemp plants showing obvious signs of surviving herbicide treatment compared to fields characterized with glyphosate-susceptible waterhemp. Therefore, it is suggested that these four site parameters, and certain combinations of these parameters, serve as predictors of glyphosate resistance in future waterhemp populations.

scholarly journals Métodos digitais e a memória acessada por APIs: desenvolvimento de ferramenta para extração de dados de portais jornalísticos a partir da WayBack Machine

2015 ◽  
Vol 1 (2) ◽  
pp. 23
Author(s):  
Marcio Carneiro Dos Santos
Keyword(s):  
New York ◽  
Data Collection ◽  
New Media ◽  
Natural Language ◽  
Language Processing ◽  
Literary History ◽  
Markup Language ◽  
Digital Repository ◽  
Princeton University ◽  
Hypertext Markup Language

Explora-se a possibilidade de automação da coleta de dados em sites, a partir da aplicação de código construído em linguagem de programação Python, utilizando a sintaxe específica do HTML (HiperText Markup Language) para localizar e extrair elementos de interesse como links, texto e imagens. A coleta automatizada de dados, também conhecida como raspagem (scraping) é um recurso cada vez mais comum no jornalismo. A partir do acesso ao repositório digital do site www.web.archive.org, também conhecido como WayBackMachine, desenvolvemos a prova de conceito de um algoritmo capaz de recuperar, listar e oferecer ferramentas básicas de análise sobre dados coletados a partir das diversas versões de portais jornalísticos ao longo do tempo. PALAVRAS-CHAVE: Raspagem de dados. Python  Jornalismo Digital.  HTML. Memória.  ABSTRACTWe explore the possibility of automation of data collection from web pages, using the application of customized code built in Python programming language, with specific HTML syntax (Hypertext Markup Language) to locate and extract elements of interest as links, text and images. The automated data collection, also known as scraping is an increasingly common feature in journalism. From the access to the digital repository site www.web.archive.org, also known as WayBackMachine, we develop a proof of concept of an algorithm able to recover, list and offer basic tools of analysis of data collected from the various versions of newspaper portals in time series.KEYWORDS: Scraping. Python. Digital Journalism. HTML. Memory. RESUMENSe explora la posibilidad de automatización de los sitios de recolección de datos, desde el código de aplicación construida en lenguaje de programación Python, utilizando la sintaxis específica de HTML (Hypertext Markup Language) para localizar y extraer elementos de interés, tales como enlaces, texto e imágenes. La colección de datos automatizada, también conocido como el raspado es una característica cada vez más común en el periodismo. Desde el acceso a la www.web.archive.org, sitio de repositorio digital, también conocida como WayBackMachine, desarrollamos una prueba de concepto de un algoritmo para recuperar, listar y ofrecer herramientas básicas de análisis de los datos recogidos de las diferentes versiones de portales de periódicos en el tiempo. PALABRAS CLAVE: Raspar datos. Python. Periodismo digital. HTML. Memoria. ReferênciasBIRD, Steven; LOPER, Edward; KLEIN, Ewan. Natural Language Processing with Python: analyzing text with the Natural Language Toolkit. New York: O'Reilly Media Inc., 2009.BONACICH, Phillip; LU, Phillip. Introduction to mathematical sociology. New Jersey: Princeton University Press, 2012.BRADSHAW, Paul. Scraping for Journalists. Leanpub, 2014, [E-book].GLEICK, James. A Informação. Uma história, uma teoria, uma enxurrada. São Paulo, Companhia das Letras, 2013.MANOVICH, Lev. The Language of New Media. Cambrige: Mit Press, 2001.MORETTI, Franco. Graphs, maps, trees. Abstract models for literary history. New York, Verso, 2007.ROGERS, Richard. Digital Methods. Cambridge: Mit Press, 2013. E-book.SANTOS, Márcio. Conversando com uma API: um estudo exploratório sobre TV social a partir da relação entre o twitter e a programação da televisão. Revista Geminis, ano 4 n. 1, p. 89-107, São Carlos. 2013. Disponível em: . Acesso em: 20 abr. 2013.SANTOS, Márcio. Textos gerados por software. Surge um novo gênero jornalístico. Anais XXXVII Congresso Brasileiro de Ciências da Comunicação. Foz do Iguaçu, 2014. Disponível em: . Acesso em 26 jan. 2014. Disponível em:Url: http://opendepot.org/2682/ Abrir em (para melhor visualização em dispositivos móveis - Formato Flipbooks):Issuu / Calameo

scholarly journals Data-based, synthesis-driven: setting the agenda for computational ecology

2017 ◽  
Author(s):  
Timothée Poisot ◽  
Richard Labrie ◽  
Erin Larson ◽  
Anastasia Rahlin
Keyword(s):  
Data Collection ◽  
Computational Thinking ◽  
Data Reuse ◽  
Ecological Research ◽  
Ecological Data ◽  
Field Computation ◽  
Constructive Dialogue ◽  
Credit Data ◽  
Computational Ecology ◽  
The Way

AbstractComputational thinking is the integration of algorithms, software, and data, to solve general questions in a field. Computation ecology has the potential to transform the way ecologists think about the integration of data and models. As the practice is gaining prominence as a way to conduct ecological research, it is important to reflect on what its agenda could be, and how it fits within the broader landscape of ecological research. In this contribution, we suggest areas in which empirical ecologists, modellers, and the emerging community of computational ecologists could engage in a constructive dialogue to build on one another’s expertise; specifically, about the need to make predictions from models actionable, about the best standards to represent ecological data, and about the proper ways to credit data collection and data reuse. We discuss how training can be amended to improve computational literacy.

scholarly journals Kohesi dan Koherensi dalam Koran Bisnis Indonesia dengan Judul Kemenperin Jamin Serap Garam Rakyat

2018 ◽  
Vol 1 (1) ◽  
pp. 138-153
Author(s):  
Goziyah Goziyah ◽  
Harninda Rizka Insani
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Data Reduction ◽  
Research Method ◽  
Data Interpretation ◽  
Qualitative Approach ◽  
Analysis Techniques ◽  
Relationship Of ◽  
The Relationship

The objective of this research was to provide an understanding of cohesion and coherence in the newspaper Bisnis Indonesia with title Kemenperin Jamin Serap Garam Rakyat. The research method used is the method of content analysis with a qualitative approach. Data collection techniques using documentation techniques. Data analysis techniques begin with data reduction, data tabulation, data classification, data interpretation, and conclusions. The results show that in the news text in the newspaper Bisnis Indonesia there is a more dominant cohesion found pronouns, ellipsis, and conjunctions or hyphens. Then, the coherence that is found is the relationship of contradictions, general specific relationships, comparison relationships, causal relationships, review relationships, and referral relationships. Keywords: cohesion, coherence, newspapers

scholarly journals TINGGALAN TRADISI MEGALITIK Dl KAMPUNG KOKAS, KOMBIF, SUN WABAN KABUPATEN MAYBRAT (Megalithic Tradition in Village of Kokas, Kombi Sun-Waban, Maybrat Regency)

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Klementin Fairyo
Keyword(s):  
Coastal Areas ◽  
Field Observations ◽  
Literature Study ◽  
Data Description ◽  
Archaeological Data ◽  
Processing Data

The remains of the megalithic tradition in Papua since prehistoric times. Megalithic relics are not only found in coastal areas, but also found in the interior. This paper aims to describe and analyze the relic, the function and role of the remains of the megalithic tradition for the community supporters. The method used is a literature study, observation, and interviews. The results of field observations are megalithic structures and totor. Processing data includes identification and archaeological data description and ethnoarchaeology. AbstrakTinggalan tradisi megaiitik di Papua sejak masa prasejarah. Peninggalan megailitik tidak hanya ditemukan di daerah pesisir saja, tatapi juga ditemukan di pedalaman. Tulisan ini bertujuan mendeskripsikan dan mengkaji bentuk peninggalan, fungsi dan peran tinggalan tradisi megailitik tersebut bagi masyarakat pendukungnya. Metode peneiitian yang digunakan adalah stud I kepustakaan, observasi lapangan, dan wawancara. Hasil observasi lapangan adalah struktur bangunan megaiitik dan totor. Pengolahan data meliputi pengindentifikasian dan pendeskripsian data arkeologi dan etnoarkeoiogi. 

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