EASY metadata export to LOD in RDF 1.1 Turtle standard. Tested with Timbuctoo repository (v5.0.0-pre8) developed and maintained by Huygens ING.

This paper investigates the extent to which the FAIR data principles are implemented in EASY, the Core Trust Seal-certified digital repository of DANS. Based on Boehmer’s evaluation of the compliance of DANS-EASY with the FAIR principles (Boehmer et al. 2017) which attests compliance with 11 out of 15 FAIR principles, this paper discusses every principle and its corresponding metrics. For each of the principles it touches upon the topics of compliance and limitations, providing a critical discussion of the findings. The authors conclude with an overview of EASY’s compliance with the FAIR principles on the metadata and data level as well as with a set of recommendations for further “FAIRification” of EASY.

Study of the metadata of the Electronic Archiving System (EASY) of Data Archiving and Networked Services (DANS) for the purpose of getting insight in the internal structure of the collection. The visualization contains a dump of the EASY metadata set and all important data files that were generated during this analysis and used for the interactive website. It contains metadata extracted from EASY version I (before January 1, 2012) and from EASY II (extracted January 20th, 2012).

FindTD IV - RQ1: Do our contextualized vocabulary and eXcomment help researchers in the selection of candidate comments that point to SATD items?

Dynamic Drawings - restored interactive 3D visualization

Introduction:

As indicated on the original project website [1], the Dynamic Drawings in Enhanced Publications project “explored ways to enrich scientific papers with such visualizations, from authoring to publishing and archiving them. The project involved publisher Brill, researchers from HuygensING, the scientific data archive DANS and game developer from Wild Card. In nine months they worked collaboratively on various instruments or processes that have been described in 17th century texts.”

Dynamic Drawings was "part of a joint venture of the University of Amsterdam (UvA), Vrije University Amsterdam (VU) and the KNAW to support research in the digital humanities that focuses on collaboration between research institutions, non-profit organizations (e.g. cultural heritage institutions) and private companies in the creative industry to develop innovative digital research methods and new modes of valorization of humanities knowledge" (Van den Heuvel et al., 2013). The project was a collaboration between a historian of science (Museum Boerhaave), a game developer (Wild Card), scientific programmers (DANS) and a publisher (Brill Publishers).

More specifically, the collaboration led to six interactive visualizations. As indicated by Van den Heuvel et al. (2013), these visualizations were not merely illustrations, but interactive scholarly multimedia annotations.

List of visualizations:

1. a Mill model devised by Agostino Ramelli (2013a)
2. the mathematical optimizations of Fortifications (2013b)
3. Rene Descartes' light refraction model (2013c)
4. Swammerdam’s microscopic drawings (2013d)
5. Early Modern educational materials on Surveying / Triangulation (2013e)
6. an interactive Astrolabe (2013f)

However, the interactive applications that were made during Dynamic Drawings ceased functioning, due to the Unity plug-in for the Web which was not supported anymore. As the project took a "best practice" approach to the archiving of project resources, all original source files were archived and still available via the DANS EASY data repository (see links below). In 2020, these files were put under an open CC-0 license.

Within the Virtual Interiors project (2018-2022), the interactive models were restored and resurrected. Due to changes in the Unity editor in the meantime, some of the aspects of the models had to be reverse-engineered. This process will also be documented in an accompanying paper (Huurdeman, van den Heuvel, Posthumus, forthcoming).

Project documentation:

van den Heuvel, C. M. J. M., Hoogerwerf, M. L., Cocquyt, T., Gilissen, V., & Thijssen, M. (2013). Dynamic Drawings in Enhanced Publications. Eindrapport KNAW PPS project. Available via: https://pure.knaw.nl/portal/nl/publications/dynamic-drawings-in-enhanced-publications

Original data deposits from 2013 (DANS EASY):

1. Ramelli Mill:

• Nagel, D., Cocquyt, T., (2013a): Animated, interactive 3D visualization of a corn mill, after a description by Ramelli [Data set]. DANS. https://doi.org/10.17026/dans-zzq-ymge
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56166/tab/1

2. Fortification

• Nagel, D., Cocquyt, T. (2013b): Interactive visualisation of fortification [Dataset]. DANS. https://doi.org/10.17026/dans-zkf-7wpa
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56147/tab/1

3. Descartes Refraction

• Nagel, D., Cocquyt, T. (2013c): Interactive animation of Descartes Refraction [Dataset]. DANS. https://doi.org/10.17026/dans-zby-k8cz
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56146/tab/1

4. Swammerdam's microscopic drawings

• Nagel, D., Cocquyt, T. (2013d): Interactive visualisation of Swammerdam’s microscopic drawings [Dataset]. DANS. https://doi.org/10.17026/dans-2an-4yaa
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56163/tab/1

5. Surveying / Triangulation

• Nagel, D., Cocquyt, T. (2013e): Interactive visualization of a surveying instruction [Dataset]. DANS. https://doi.org/10.17026/dans-xk8-5ag6
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:56165/tab/1

6. Astrolabe

• Nagel, D., Cocquyt, T. (2013f): Interactive 3D visualization of an astrolabe [Dataset]. DANS. https://doi.org/10.17026/dans-28m-zann
• Original metadata: https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:54390/tab/1

Live demo's of the restored visualizations:

1. Ramelli Mill: http://www.timelessfuture.com/apps/dynamicdrawings/ramellimill/
2. Survey: http://www.timelessfuture.com/apps/dynamicdrawings/survey/
3. Astrolabe: http://www.timelessfuture.com/apps/dynamicdrawings/astrolabe/
4. Refraction: http://www.timelessfuture.com/apps/dynamicdrawings/refraction/
5. Fortification: http://www.timelessfuture.com/apps/dynamicdrawings/fortification/
6. Swammerdam drawings: http://www.timelessfuture.com/apps/dynamicdrawings/swammerdam/

Repository file structure:

Original research underlying the interactive visualizations can be found here.
In this dataset, the following files are provided for each visualization (#1 - #6):

1. Unity source files (updated Unity project files and source code)
   • Unity files and settings. Including source code (Assets/Scripts folder), 3D model elements in OBJ-format (Assets/Models folder), images and GUI images (Assets/Textures folder) and Unity scene (Assets/Scenes folder)
2. WebGL_application (exported version of the application)
   • HTML files, using WebGL technology. Exports from the Unity application, which can be uploaded to a web server
3. 3D models (if available)
   • Exported (static) combined 3D models from the application, as GLTF and FBX files. In addition, 3D model elements (in OBJ-format) are included within the Unity source files (see above)
4. Documentation
   • Screen_recordings. For visual reference, screen recordings of the original Unity application
   • Screenshots. For visual reference, screenshots of the original Unity application

Further information regarding Ramelli Mill visualization (visualization #1):

• The algorithms driving the mill behavior can be found in the file Ramelli_Mill/Unity_source_files/Assets/Scripts/Mill.cs (C# programming language).
• The documentation of the underlying algorithms is available in Van den Heuvel et al. (2013), Dynamic Drawings in Enhanced Publications (p.28-31): "The backbone of the enrichment [was] a dynamic algorithm, driving the 3D mill which was modeled after the engravings, and taking input from five sliders that adjust the variables." For further details about the original modeling choices for this algorithm, see that publication.

Further technical notes from the restoration

Data to accompany research paper that extracts shared topics across a literature of research articles identified as being published on machine learning techniques applied to finance. See https://www.researchgate.net/publication/330797402_Machine_learning_in_finance_A_topic_modeling_approach for data collection approach and modeling.

Semi-Literate means those people who face challenges in digital enablement and are not too familiar with using smartphones for text message communication. Any progress to reduce the difficulty of their smartphone usage can help these people. These people are over one billion worldwide. The dataset contains text messages in English (some of these are translations of local text messages) from semi-literate Indian users. The dataset has been derived from face to face surveys primarily. Only 10% by online surveys since these people are not comfortable in doing online surveys.

This data includes the entire code-base for the examples specified in the associated article published in "Computers and Structures". The reader can refer to the "README" file for the installation instructions.

Abstract of associated article: We experimentally study endogenous alliance formation and contest effort choices in a generic three-player contest. Differences in intrinsic or extrinsic incentives to expend effort cause self-selection. Weakly motivated players have an incentive to enter into an alliance and to free-ride on strongly motivated players; hence, strong players prefer to stand alone. Self-selection has direct consequences for effort in endogenously formed alliances. But we also find evidence of an effort stimulating effect if players endogenously form an alliance, which is in line with theories of in-group favoritism. The experimental evidence on self-selection is in conformity with a theory analysis of the game.

LiDAR scans of 24 avocado trees from several years. Each point cloud has been annotated with two labels: one label for leaf (0) vs trunk (1) matter, and another for which tree each point belongs to: ground (0), center tree (1), north tree (2), south tree (3), uncategorised (4). Each point cloud is stored as a binary file with the following format (ui = 4-byte unsigned integer, d = 8-byte double): 3d,2ui,d Each line in the file has the fields: x,y,z,matter_label,tree_label,height XYZ is in North-East-Down orientation. The data was created in, and is easy to view using, ACFR comma/snark open-source tools (https://github.com/acfr/comma/wiki)

Also included in the dataset is a list of trunk points in simple CSV format with tree IDs ; there are other trees in that list as well, but all trees represented in this dataset are in there.

This find is registered at Portable Antiquities of the Netherlands with number PAN-00002977

Python 3.7.4 simulation code and scripts reproducing all figures in Landmann, Holmes, Tikhonov (2021) "A simple regulatory architecture allows learning the statistical structure of a changing environment". Optional pre-computed simulation data included to speed-up figure plotting; remove or rename any data file to rerun the relevant simulations from scratch. Code by Stefan Landmann.

Confluent and Reticulated Papillomatosis (CARP) is a rare dermatosis characterized by persistent, hyperpigmented, reticulated papules and plaques. The aim of this systematic review was to summarize CARP treatment options and their outcomes. Attached are supplemental files for this systematic review.

The DANS Knowledge Organization Systems Observatory (KOSo) records KOSs within the Social Sciences and Humanities, and the Life Sciences. KOSs have been described and ordered in the observatory through a process of empirical association in order to resist the potential pitfall of already organizing these resources through the lens of other KOSs (e.g. already describing the KOS in terms of existing controlled vocabularies). The KOSo employs both metadata terms and formal classifications, using the Information Coding Classification in a synthetic format together with the KO Literature Classification, thus rendering for each KOS a domain-centric term faceted with a KOS-form term. Additionally, we classify domains using the NARCIS Classification, which is a framework to represent the research foci of the Dutch national research infrastructure.

Data on parent-child interactions in daily life assessed at baseline and during the COVID-19 pandemic

Data obtained from women two months after delivery

This find is registered at Portable Antiquities of the Netherlands with number PAN-00060531 Modified: 2019-10-28T09:52:23+01:00

Nicole Immler - fragment uit gedeponeerd interview zie https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:100752

This find is registered at Portable Antiquities of the Netherlands with number PAN-00037085 Modified: 2019-10-11T15:51:49+02:00

CoreTrustSeal certification