Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Iverson, Jeremy"'
Autor:
McPhillips, Timothy, Thelen, Thomas, Gager, Jack, Alter, George, Ludäscher, Bertram, Iverson, Jeremy, Smith, Dan
We show how two models of provenance can work together to answer basic questions about data provenance, such as “What computed variables were affected by values of variable X?” The W3C PROV data model is a standard for describing activities and p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42d882512bd5975e9cfe605e82c8631c
Autor:
Iverson, Jeremy, Smith, Dan
The presentation is in two parts: 1. Colectica 7.1 Colectica is happy to announce at EDDI the release of Colectica version 7.1. Colectica is software for creating, publishing, centralizing and managing DDI metadata within and across organizations. It
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c326cc000e60ef560bc1e444644cc44
Autor:
Iverson, Jeremy
A controlled vocabulary is an organized set of terms. Controlled vocabularies make it easier to make information consistent. They also improve indexing and searching for information. DDI Lifecycle supports using controlled vocabularies for many of it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21483020d4fe9db4d6e6526dea449167
Autor:
Iverson, Jeremy
Since DDI Lifecycle 3.2, the variable cascade has allowed data producers to define the concordance among variables in datasets. Since at least 2014, several longitudinal studies and national statistics organizations have used this metadata structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bc746b795d7cc38e139c3d3a396626d
Autor:
Iverson, Jeremy
DDI supports documenting data with variable-level detail. Normally such information includes a variable’s name, label and data type, but DDI supports the inclusion of more details (e.g., the variable’s lineage). The data behind a variable may hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05a331829da7c962ab9d8f260888a5a6
1. “Metadata first” questionnaire design using DDI metadata 2. Transform DDI metadata into a data capture instrument 3. Field the survey and collect survey data 4. Export data and metadata 5. Integrate data with metadata 6. View results in a DDI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a2c74eb53a854a7aa7f75e070fcfc23
Autor:
Iverson, Jeremy, Smith, Dan
This workshop offers a hands-on, practical approach to creating and documenting both surveys and datasets with DDI and Colectica. Participants will build and field a DDI-driven survey using their own questions or samples provided in the workshop. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9be022011f8fc53de5f2ae89fd510210
Autor:
Iverson, Jeremy
Colectica is software used to document and publish statistical data using open standards. The software is used by national statistical organizations and major longitudinal studies worldwide. Colectica provides several tools: Colectica Questionnaires
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::477ce21aa53a04b593407f7dd26df1ec
Accurate and complete metadata is essential for data sharing and for interoperability across different data types. However, the process of describing and documenting scientific data has remained a tedious, manual process even when data collection is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd657add592d15316937d2beefa32da
The DDI 3.2 standard is called “DDI Lifecycle,” so named because it describes metadata at each stage of the research data lifecycle, i.e., “from cradle to grave.” While few projects actually employ DDI Lifecycle to drive these processes, demo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c94fcf48bb15a7e5db01d3bf77a6435