Changes
On November 28, 2024 at 1:15:40 PM UTC, admin:
-
Changed value of field
extra_authors
to[{'extra_author': 'Stamer, Florian', 'familyName': 'Stamer', 'givenName': 'Florian', 'orcid': '0000-0002-9704-8611'}, {'extra_author': 'Klenk, Felix', 'familyName': 'Klenk', 'givenName': 'Felix', 'orcid': ''}]
in Identifying digitalization trends in global production networks - a python data mining tool
f | 1 | { | f | 1 | { |
2 | "author": "Reichert, Fabio", | 2 | "author": "Reichert, Fabio", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
n | n | 4 | "citation": [], | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/1488", | 6 | "doi": "10.35097/1488", | ||
6 | "doi_date_published": "2023", | 7 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 8 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 9 | "doi_status": "True", | ||
9 | "extra_authors": [ | 10 | "extra_authors": [ | ||
10 | { | 11 | { | ||
11 | "extra_author": "Stamer, Florian", | 12 | "extra_author": "Stamer, Florian", | ||
n | n | 13 | "familyName": "Stamer", | ||
14 | "givenName": "Florian", | ||||
12 | "orcid": "0000-0002-9704-8611" | 15 | "orcid": "0000-0002-9704-8611" | ||
13 | }, | 16 | }, | ||
14 | { | 17 | { | ||
15 | "extra_author": "Klenk, Felix", | 18 | "extra_author": "Klenk, Felix", | ||
n | n | 19 | "familyName": "Klenk", | ||
20 | "givenName": "Felix", | ||||
16 | "orcid": "" | 21 | "orcid": "" | ||
17 | } | 22 | } | ||
18 | ], | 23 | ], | ||
n | n | 24 | "familyName": "Reichert", | ||
25 | "givenName": "Fabio", | ||||
19 | "groups": [], | 26 | "groups": [], | ||
20 | "id": "3038d9ba-b68d-46ab-849c-bb437809d916", | 27 | "id": "3038d9ba-b68d-46ab-849c-bb437809d916", | ||
21 | "isopen": false, | 28 | "isopen": false, | ||
22 | "license_id": "CC BY 4.0 Attribution", | 29 | "license_id": "CC BY 4.0 Attribution", | ||
23 | "license_title": "CC BY 4.0 Attribution", | 30 | "license_title": "CC BY 4.0 Attribution", | ||
24 | "metadata_created": "2023-08-04T08:50:53.655880", | 31 | "metadata_created": "2023-08-04T08:50:53.655880", | ||
t | 25 | "metadata_modified": "2023-08-04T09:31:26.153764", | t | 32 | "metadata_modified": "2024-11-28T13:15:40.659459", |
26 | "name": "rdr-doi-10-35097-1488", | 33 | "name": "rdr-doi-10-35097-1488", | ||
27 | "notes": "Abstract: Diese Software erlaubt das halbautomatische | 34 | "notes": "Abstract: Diese Software erlaubt das halbautomatische | ||
28 | Analysieren bestehender Ver\u00f6ffentlichungen zum Thema Globale | 35 | Analysieren bestehender Ver\u00f6ffentlichungen zum Thema Globale | ||
29 | Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software | 36 | Produktionsnetzwerke mit Schwerpunkt Digitalisierung. Die Software | ||
30 | erlaubt die Auswertung dieser Paper um thematische Trends zu | 37 | erlaubt die Auswertung dieser Paper um thematische Trends zu | ||
31 | identifizieren.\r\nAbstract: This software allows the semi-automatic | 38 | identifizieren.\r\nAbstract: This software allows the semi-automatic | ||
32 | analysis of existing publications on the topic of global production | 39 | analysis of existing publications on the topic of global production | ||
33 | networks with a focus on digitization. The software allows the | 40 | networks with a focus on digitization. The software allows the | ||
34 | evaluation of these papers in order to identify thematic | 41 | evaluation of these papers in order to identify thematic | ||
35 | trends.\r\nTechnicalRemarks: DE:\r\nZur Ausf\u00fchrung wird Jupyter | 42 | trends.\r\nTechnicalRemarks: DE:\r\nZur Ausf\u00fchrung wird Jupyter | ||
36 | Notebook ben\u00f6tigt und die in der requirements.txt angegebenen | 43 | Notebook ben\u00f6tigt und die in der requirements.txt angegebenen | ||
37 | Abh\u00e4ngigkeiten. Die Ausf\u00fchrung wird im Notebook | 44 | Abh\u00e4ngigkeiten. Die Ausf\u00fchrung wird im Notebook | ||
38 | erl\u00e4utert und erfolgt top-down.\r\nENG:\r\nJupyter Notebook and | 45 | erl\u00e4utert und erfolgt top-down.\r\nENG:\r\nJupyter Notebook and | ||
39 | the dependencies specified in the requirements.txt are required for | 46 | the dependencies specified in the requirements.txt are required for | ||
40 | execution. The execution is explained in the notebook and takes place | 47 | execution. The execution is explained in the notebook and takes place | ||
41 | top-down.", | 48 | top-down.", | ||
42 | "num_resources": 0, | 49 | "num_resources": 0, | ||
43 | "num_tags": 0, | 50 | "num_tags": 0, | ||
44 | "orcid": "", | 51 | "orcid": "", | ||
45 | "organization": { | 52 | "organization": { | ||
46 | "approval_status": "approved", | 53 | "approval_status": "approved", | ||
47 | "created": "2023-01-12T13:30:23.238233", | 54 | "created": "2023-01-12T13:30:23.238233", | ||
48 | "description": "RADAR (Research Data Repository) is a | 55 | "description": "RADAR (Research Data Repository) is a | ||
49 | cross-disciplinary repository for archiving and publishing research | 56 | cross-disciplinary repository for archiving and publishing research | ||
50 | data from completed scientific studies and projects. The focus is on | 57 | data from completed scientific studies and projects. The focus is on | ||
51 | research data from subjects that do not yet have their own | 58 | research data from subjects that do not yet have their own | ||
52 | discipline-specific infrastructures for research data management. ", | 59 | discipline-specific infrastructures for research data management. ", | ||
53 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 60 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
54 | "image_url": "radar-logo.svg", | 61 | "image_url": "radar-logo.svg", | ||
55 | "is_organization": true, | 62 | "is_organization": true, | ||
56 | "name": "radar", | 63 | "name": "radar", | ||
57 | "state": "active", | 64 | "state": "active", | ||
58 | "title": "RADAR", | 65 | "title": "RADAR", | ||
59 | "type": "organization" | 66 | "type": "organization" | ||
60 | }, | 67 | }, | ||
61 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 68 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
62 | "private": false, | 69 | "private": false, | ||
63 | "production_year": "2021", | 70 | "production_year": "2021", | ||
64 | "publication_year": "2023", | 71 | "publication_year": "2023", | ||
65 | "publishers": [ | 72 | "publishers": [ | ||
66 | { | 73 | { | ||
67 | "publisher": "Karlsruhe Institute of Technology" | 74 | "publisher": "Karlsruhe Institute of Technology" | ||
68 | } | 75 | } | ||
69 | ], | 76 | ], | ||
70 | "relationships_as_object": [], | 77 | "relationships_as_object": [], | ||
71 | "relationships_as_subject": [], | 78 | "relationships_as_subject": [], | ||
72 | "repository_name": "RADAR (Research Data Repository)", | 79 | "repository_name": "RADAR (Research Data Repository)", | ||
73 | "resources": [], | 80 | "resources": [], | ||
74 | "services_used_list": "", | 81 | "services_used_list": "", | ||
75 | "source_metadata_created": "2023", | 82 | "source_metadata_created": "2023", | ||
76 | "source_metadata_modified": "", | 83 | "source_metadata_modified": "", | ||
77 | "state": "active", | 84 | "state": "active", | ||
78 | "subject_areas": [ | 85 | "subject_areas": [ | ||
79 | { | 86 | { | ||
80 | "subject_area_additional": "", | 87 | "subject_area_additional": "", | ||
81 | "subject_area_name": "Engineering" | 88 | "subject_area_name": "Engineering" | ||
82 | } | 89 | } | ||
83 | ], | 90 | ], | ||
84 | "tags": [], | 91 | "tags": [], | ||
85 | "title": "Identifying digitalization trends in global production | 92 | "title": "Identifying digitalization trends in global production | ||
86 | networks - a python data mining tool", | 93 | networks - a python data mining tool", | ||
87 | "type": "vdataset", | 94 | "type": "vdataset", | ||
88 | "url": "https://doi.org/10.35097/1488" | 95 | "url": "https://doi.org/10.35097/1488" | ||
89 | } | 96 | } |