Archaeology, anthropology, and paleontology Archaeology and
anthropology researchers use the word
provenience (or alternatively
find-spot) to refer to the exact location of discovery of an
artifact, a bone or other remains, a soil sample, or a feature within an ancient site, Any given antiquity may have both a provenience, where it was found, and a provenance, where it has been since it was found. A summary of the distinction is that "provenience is a fixed point, while provenance can be considered an itinerary that an object follows as it moves from hand to hand." Another metaphor is that provenience is an artifact's "birthplace", while provenance is its "
résumé". This can be imprecise. Many artifacts originated as trade goods created in one region, but were used and finally deposited in another. Aside from scientific precision, a need for the distinction in these fields has been described thus: while scholarly paleontology works make frequent use of
provenience in the same precise sense as used in archaeology and paleoanthropology. While exacting details of a find's provenience are primarily of use to scientific researchers, most natural history and archaeology museums also make strenuous efforts to record how the items in their collections were acquired. These records are often of use in helping to establish a chain of provenance.
Data provenance Scientific research is generally held to be of good provenance when it is documented in detail sufficient to allow
reproducibility.
Scientific workflow systems assist scientists and programmers with tracking their data through all transformations, analyses, and interpretations. Data sets are reliable when the processes used to create them are
reproducible and analyzable for defects. Security researchers are interested in data provenance because it can analyze suspicious data and make large opaque systems transparent. Current initiatives to effectively manage, share, and reuse ecological data are indicative of the increasing importance of data provenance. Examples of these initiatives are
National Science Foundation Datanet projects,
DataONE and Data Conservancy, as well as the
U.S. Global Change Research Program. Some international academic consortia, such as the
Research Data Alliance, have specific groups to tackle issues of provenance. In that case it is the Research Data Provenance Interest Group.
Computer science Within
computer science,
informatics uses the term "provenance" to mean the
lineage of data, as per data provenance, with research in the last decade extending the conceptual model of causality and relation to include processes that act on data and agents that are responsible for those processes. See, for example, the proceedings of the International Provenance Annotation Workshop (IPAW) and Theory and Practice of Provenance (TaPP).
Semantic web standards bodies, including the
World Wide Web Consortium in 2014, have ratified a standard data model for provenance representation known as PROV which draws from many of the better-known provenance representation systems that preceded it, such as the
Proof Markup Language and the Open Provenance Model. Interoperability is a design goal of most recent computer science provenance theories and models, for example the Open Provenance Model (OPM) 2008 generation workshop aimed at "establishing inter-operability of systems" through information exchange agreements. Data models and serialisation formats for delivering provenance information typically reuse existing metadata models where possible to enable this. Both the OPM Vocabulary and the PROV Ontology make extensive use of metadata models such as
Dublin Core and
Semantic Web technologies such as the
Web Ontology Language (OWL). Current practice is to rely on the W3C PROV data model, OPM's successor. There are several maintained and open-source provenance capture implementation at the operating system level such as CamFlow, Progger for Linux and MS Windows, and SPADE for Linux,
MS Windows, and
MacOS. Operating system level provenance have gained interest in the security community notably to develop novel intrusion detection techniques. Other implementations exist for specific programming and scripting languages, such as RDataTracker for
R, and NoWorkflow for
Python.
Whole-system provenance implementation for Linux • PASS – closed source – not maintained – kernel v2.6.X • Hi-Fi – open source – not maintained – kernel v3.2.x • Flogger – closed source – not maintained – kernel v2.6.x • S2Logger – closed source – not maintained – kernel v2.6.x • LPM – open source – not maintained – kernel v2.6.x • Progger – open source – not maintained – kernel v2.6.x and kernel v.4.14.x • CamFlow – open source – maintained – kernel v6.0.X
Petrology (
quartz,
feldspar,
lithic fragments) used to determine
tectonic provenance in sandstones In the
geologic use of the term, provenance instead refers to the origin or source area of particles within a rock, most commonly in
sedimentary rocks. It does not refer to the circumstances of the collection of the rock. The provenance of sandstone, in particular, can be evaluated by determining the proportion of quartz, feldspar, and lithic fragments (see diagram).
Seed provenance Seed provenance refers to the geographic location of a parent plant, from which seeds were collected. In the context of ecological restoration,
seed provenancing refers to a seed-sourcing strategy that focuses on the geographic location of seed sources, as each provenance can describe the genetic material from that location. Local provenancing is a position maintained by ecologists that suggests that only seeds of local provenance should be planted in a particular area. However, this view depends on the
adaptationist program – a view that populations are universally locally adapted. It is maintained that local seed is best
adapted to local conditions, and that
outbreeding depression will be avoided.
Evolutionary biologists suggest that strict adherence to provenance collecting is not a wise decision because: • Local adaptation is not as common as assumed. • Background population
maladaptation can be driven by natural processes. •
Natural selection is changing rapidly due to
climate change. and habitat fragmentation • Population fragments are unlikely to divergence by natural selection since fragmentation (< 500 years). This leads to a low risk of outbreeding depression. Provenance trials, where material of different provenances are planted in a single place or at different locations spanning a range of environmental conditions, is a way to reveal
genetic variation among provenances. It also contributes to an understanding of how different provenances respond to various climatic and environmental conditions and can as such contribute with knowledge on how to strategically select provenances for
climate change adaptation. ==Computers and law==